Positsioonid

valdkonna dekanaat

Faculty contacts link:
Töötajate kontaktandmed

Faculty phone:
737 5341

Faculty email:
hv.dekanaat [at] ut.ee

Faculty address:
Jakobi 2, ruumid 116–121, 51005 Tartu
ajaloo ja arheoloogia instituut

Faculty link:
www.flaj.ut.ee

Faculty contacts link:
Töötajate kontaktandmed

Faculty phone:
737 5651

Faculty address:
Jakobi 2, 51005 Tartu
eesti ja üldkeeleteaduse instituut

Faculty link:
keel.ut.ee

Faculty contacts link:
Töötajate kontaktandmed

Faculty phone:
737 5221

Faculty email:
keeleteadus [at] ut.ee

Faculty address:
Jakobi 2, IV korrus, 51005 Tartu
filosoofia ja semiootika instituut

Faculty link:
www.flfi.ut.ee

Faculty contacts link:
Töötajate kontaktandmed

Faculty phone:
737 5314

Faculty email:
filosoofia.semiootika [at] ut.ee

Faculty address:
Jakobi 2, ruumid 309–352, 51005 Tartu
kultuuriteaduste instituut

Faculty link:
www.flku.ut.ee

Faculty contacts link:
Töötajate kontaktandmed

Faculty phone:
737 5223

Faculty email:
kultuuriteadused [at] ut.ee

Faculty address:
Ülikooli 16, 51003 Tartu
maailma keelte ja kultuuride kolledž

Faculty link:
maailmakeeled.ut.ee

Faculty contacts link:
Töötajate kontaktandmed

Faculty email:
keeled [at] ut.ee

Faculty address:
J. Liivi 4, 50409, Tartu
usuteaduskond

Faculty link:
us.ut.ee

Faculty contacts link:
Töötajate kontaktandmed

Faculty phone:
737 5300

Faculty email:
us [at] ut.ee

Faculty address:
Ülikooli 18-310, 50090 Tartu
Viljandi kultuuriakadeemia

Faculty link:
kultuur.ut.ee

Faculty contacts link:
Töötajate kontaktandmed

Faculty phone:
435 5232

Faculty email:
kultuur [at] ut.ee

Faculty address:
Posti 1, 71004 Viljandi

valdkonna dekanaat

Faculty contacts link:
Töötajate kontaktandmed

Faculty phone:
737 5900

Faculty email:
sotsiaalteadused [at] ut.ee

Faculty address:
Lossi 36, 51003 Tartu
haridusteaduste instituut

Faculty link:
www.ht.ut.ee

Faculty contacts link:
Töötajate kontaktandmed

Faculty phone:
737 6440

Faculty email:
haridus [at] ut.ee

Faculty address:
Salme 1a–29, 50103 Tartu
Johan Skytte poliitikauuringute instituut

Faculty link:
skytte.ut.ee

Faculty contacts link:
Töötajate kontaktandmed

Faculty phone:
737 5582

Faculty email:
skytte [at] ut.ee

Faculty address:
Lossi 36–301, 51003 Tartu
majandusteaduskond

Faculty link:
majandus.ut.ee

Faculty contacts link:
Töötajate kontaktandmed

Faculty phone:
737 6310

Faculty email:
majandus [at] ut.ee

Faculty address:
Narva mnt 18, 51009 Tartu
psühholoogia instituut

Faculty link:
psychology.ut.ee

Faculty contacts link:
Töötajate kontaktandmed

Faculty phone:
737 5902

Faculty email:
psyhholoogia [at] ut.ee

Faculty address:
Näituse 2, 50409 Tartu
õigusteaduskond

Faculty link:
oigus.ut.ee

Faculty contacts link:
Töötajate kontaktandmed

Faculty phone:
737 5390

Faculty email:
oi [at] ut.ee

Faculty address:
Näituse 20–324, 50409 Tartu
ühiskonnateaduste instituut

Faculty link:
yti.ut.ee

Faculty contacts link:
Töötajate kontaktandmed

Faculty phone:
737 5188

Faculty email:
yhiskonnateadused [at] ut.ee

Faculty address:
Lossi 36, 51003 Tartu
Narva kolledž

Faculty link:
www.narva.ut.ee

Faculty contacts link:
Töötajate kontaktandmed

Faculty phone:
740 1900

Faculty email:
college [at] narva.ut.ee

Faculty address:
Raekoja plats 2, 20307 Narva
Pärnu kolledž

Faculty link:
www.pc.ut.ee

Faculty contacts link:
Töötajate kontaktandmed

Faculty phone:
445 0520

Faculty email:
info [at] pc.ut.ee

Faculty address:
Ringi 35, 80012 Pärnu

valdkonna dekanaat

Faculty contacts link:
Töötajate kontaktandmed

Faculty phone:
737 5326

Faculty email:
med [at] ut.ee

Faculty address:
Ravila 19, 50411 Tartu
bio- ja siirdemeditsiini instituut

Faculty link:
biomeditsiin.ut.ee

Faculty contacts link:
Töötajate kontaktandmed

Faculty phone:
737 4210

Faculty email:
bsmi [at] ut.ee

Faculty address:
Biomeedikum, Ravila 19, 50411 Tartu
farmaatsia instituut

Faculty link:
farmaatsia.ut.ee

Faculty contacts link:
Töötajate kontaktandmed

Faculty phone:
737 5286

Faculty email:
pharmacy [at] ut.ee

Faculty address:
Nooruse 1, 50411 Tartu
hambaarstiteaduse instituut

Faculty link:
hambaarstiteadus.ut.ee

Faculty contacts link:
Töötajate kontaktandmed

Faculty phone:
731 9856

Faculty address:
Raekoja plats 6, 51003 Tartu
kliinilise meditsiini instituut

Faculty link:
kliinilinemeditsiin.ut.ee

Faculty contacts link:
Töötajate kontaktandmed

Faculty phone:
737 5323

Faculty email:
kmi [at] ut.ee

Faculty address:
L. Puusepa 8, 50406 Tartu
peremeditsiini ja rahvatervishoiu instituut

Faculty link:
tervis.ut.ee

Faculty contacts link:
Töötajate kontaktandmed

Faculty phone:
737 4190

Faculty email:
dph [at] ut.ee

Faculty address:
Ravila 19, 50411 Tartu
sporditeaduste ja füsioteraapia instituut

Faculty link:
www.kk.ut.ee

Faculty contacts link:
Töötajate kontaktandmed

Faculty phone:
737 5360

Faculty email:
kkdek [at] ut.ee

Faculty address:
Jakobi 5–205, 51005 Tartu

valdkonna dekanaat

Faculty contacts link:
Töötajate kontaktandmed

Faculty phone:
737 5820

Faculty email:
ltt [at] ut.ee

Faculty address:
Vanemuise 46–208, 51003 Tartu
arvutiteaduse instituut

Faculty link:
cs.ut.ee

Faculty contacts link:
Töötajate kontaktandmed

Faculty phone:
737 5445

Faculty email:
ics [at] ut.ee

Faculty address:
Narva mnt 18, 51009 Tartu
genoomika instituut

Faculty link:
www.genoomika.ut.ee

Faculty contacts link:
Töötajate kontaktandmed

Faculty phone:
737 4000

Faculty email:
egv [at] ut.ee

Faculty address:
Riia 23b, 51010 Tartu
Eesti mereinstituut

Faculty link:
mereinstituut.ut.ee

Faculty contacts link:
Töötajate kontaktandmed

Faculty phone:
671 8902

Faculty address:
Mäealuse 14, 12618 Tallinn
füüsika instituut

Faculty link:
www.fi.ut.ee

Faculty contacts link:
Töötajate kontaktandmed

Faculty address:
W. Ostwaldi 1, 50411 Tartu
keemia instituut

Faculty link:
chem.ut.ee

Faculty contacts link:
Töötajate kontaktandmed

Faculty phone:
737 5261

Faculty email:
chemistry [at] ut.ee

Faculty address:
Ravila 14a, 50411 Tartu
matemaatika ja statistika instituut

Faculty link:
math.ut.ee

Faculty contacts link:
Töötajate kontaktandmed

Faculty phone:
737 5860

Faculty email:
ltms [at] ut.ee

Faculty address:
Narva mnt 18, 51009 Tartu
molekulaar- ja rakubioloogia instituut

Faculty link:
tymri.ut.ee

Faculty contacts link:
Töötajate kontaktandmed

Faculty phone:
737 5027

Faculty address:
Riia 23, 23b–134, 51010 Tartu
Tartu observatoorium

Faculty link:
www.kosmos.ut.ee

Faculty contacts link:
Töötajate kontaktandmed

Faculty phone:
737 4510

Faculty email:
kosmos [at] ut.ee

Faculty address:
Observatooriumi 1, Tõravere, 61602 Tartumaa
tehnoloogiainstituut

Faculty link:
tuit.ut.ee

Faculty contacts link:
Töötajate kontaktandmed

Faculty phone:
737 4800

Faculty email:
info [at] tuit.ut.ee

Faculty address:
Nooruse 1, 50411 Tartu
ökoloogia ja maateaduste instituut

Faculty link:
www.omi.ut.ee

Faculty contacts link:
Töötajate kontaktandmed

Faculty phone:
737 5835

Faculty email:
om [at] ut.ee

Faculty address:
Vanemuise 46, 51003 Tartu

Asutused

raamatukogu

Faculty link:
utlib.ut.ee

Faculty contacts link:
Töötajate kontaktandmed

Faculty phone:
737 5702

Faculty email:
library [at] utlib.ee

Faculty address:
W. Struve 1, 50091 Tartu
teaduskool

Faculty link:
teaduskool.ut.ee

Faculty contacts link:
Töötajate kontaktandmed

Faculty phone:
737 5581

Faculty email:
teaduskool [at] ut.ee

Faculty address:
Uppsala 10, 51003 Tartu
muuseum

Faculty link:
muuseum.ut.ee

Faculty contacts link:
Töötajate kontaktandmed

Faculty phone:
737 5674

Faculty email:
muuseum [at] ut.ee

Faculty address:
Lossi 25, 51003 Tartu
loodusmuuseum ja botaanikaaed

Faculty link:
natmuseum.ut.ee

Faculty contacts link:
Töötajate kontaktandmed

Faculty phone:
737 6076

Faculty email:
loodusmuuseum [at] ut.ee

Faculty address:
Vanemuise 46, 51003 Tartu

Tugiüksused

ettevõtlus- ja innovatsioonikeskus

Faculty contacts link:
Töötajate kontaktandmed

Faculty phone:
737 4809

Faculty email:
eik [at] ut.ee

Faculty address:
Narva mnt 18, 51009, Tartu
grandikeskus

Faculty contacts link:
Töötajate kontaktandmed

Faculty phone:
737 6215

Faculty address:
Raekoja plats 9, 51004 Tartu
hankeosakond

Faculty contacts link:
Töötajate kontaktandmed

Faculty phone:
737 6632

Faculty email:
tuuli.ilula [at] ut.ee

Faculty address:
Ülikooli 18a, 51005 Tartu
infotehnoloogia osakond

Faculty contacts link:
Töötajate kontaktandmed

Faculty phone:
737 6000, arvutiabi: 737 5500

Faculty email:
ito [at] ut.ee, arvutiabi [at] ut.ee

Faculty address:
Ülikooli 18a, 51005 Tartu
kantselei

Faculty contacts link:
Töötajate kontaktandmed

Faculty phone:
737 5606

Faculty email:
kantselei [at] ut.ee

Faculty address:
Ülikooli 18a, 51005 Tartu
kinnisvaraosakond

Faculty contacts link:
Töötajate kontaktandmed

Faculty phone:
737 5137

Faculty address:
Ülikooli 18a, 51005 Tartu
kirjastus

Faculty link:
www.tyk.ee

Faculty contacts link:
Töötajate kontaktandmed

Faculty phone:
+372 737 5945

Faculty email:
tyk [at] ut.ee

Faculty address:
W. Struve 1, 50091 Tartu
personaliosakond

Faculty contacts link:
Töötajate kontaktandmed

Faculty phone:
737 5145

Faculty email:
personal [at] ut.ee

Faculty address:
Ülikooli 18, ruumid 302 ja 304, 50090 Tartu
rahandusosakond

Faculty contacts link:
Töötajate kontaktandmed

Faculty phone:
737 5125

Faculty email:
rahandus [at] ut.ee

Faculty address:
Jakobi 4, 51005 Tartu
rahvusvahelise koostöö ja protokolli osakond

Faculty contacts link:
Töötajate kontaktandmed

Faculty phone:
737 6123

Faculty email:
iro [at] ut.ee

Faculty address:
Ülikooli 18, ruumid 104, 304, 305, 50090 Tartu
rektoraat
rektoraadi büroo

Faculty contacts link:
Töötajate kontaktandmed

Faculty phone:
737 5600

Faculty email:
rektor [at] ut.ee

Faculty address:
Ülikooli 18, 51014 Tartu
siseauditi büroo

Faculty contacts link:
Töötajate kontaktandmed

Faculty email:
siseaudit [at] ut.ee

Faculty address:
Ülikooli 18–244, 51005 Tartu
Tallinna esindus

Faculty link:
www.ut.ee/et/tallinna-esindus

Faculty contacts link:
Töötajate kontaktandmed

Faculty phone:
737 6600

Faculty email:
esindus [at] tallinn.ut.ee

Faculty address:
Teatri väljak 3, 10143 Tallinn
turundus- ja kommunikatsiooniosakond

Faculty contacts link:
Töötajate kontaktandmed

Faculty phone:
737 5687

Faculty email:
info [at] ut.ee, avalik [at] ut.ee

Faculty address:
Ülikooli 18, ruumid 102, 104, 209, 210, 50090 Tartu
õppeosakond

Faculty contacts link:
Töötajate kontaktandmed

Faculty phone:
737 5620

Faculty address:
Ülikooli 18, 50090 Tartu
üliõpilasesindus

Faculty link:
tyye.ut.ee

Faculty contacts link:
Töötajate kontaktandmed

Faculty email:
info [at] tyye.ee

Faculty address:
Ülikooli 18b, 51005 Tartu

Muud üksused

MTÜ Tartu Ülikooli Akadeemiline Spordiklubi

Faculty link:
www.tysk.ee

Faculty phone:
737 5371

Faculty email:
info [at] tysk.ee

Faculty address:
Ujula 4, 51008 Tartu
MTÜ Tartu Üliõpilasküla

Faculty link:
www.campus.ee

Faculty phone:
740 9959

Faculty email:
info [at] campus.ee

Faculty address:
Narva mnt 25, 51013 Tartu
MTÜ Tartu Üliõpilasmaja

Faculty link:
www.tym.ee

Faculty phone:
730 2400

Faculty email:
tym [at] ut.ee

Faculty address:
Kalevi 24, Tartu
SA Tartu Ülikooli Kliinikum

Faculty link:
www.kliinikum.ee

Faculty phone:
731 8111

Faculty email:
kliinikum [at] kliinikum.ee

Faculty address:
L. Puusepa 1a, 50406 Tartu
Tartu Ülikooli Sihtasutus

Faculty link:
www.sihtasutus.ut.ee

Faculty phone:
737 5852

Faculty email:
tysiht [at] ut.ee

Faculty address:
Ülikooli 18a–106, Tartu
Vaata kõiki muid üksusi

2020. aasta

Columbus & Barrus

Tööstusettevõte ei tähenda täna pelgalt tootmistehast. See tähendab ka suures koguses andmeid. Masinõppest huvitatud andmeteaduse tudeng, otsime Sind. Aitame Sul rakendada ülikooli teadmisi praktikas ja Sina näed enda töö vilju füüsilistel toodetel.

Digitaliseerimislahendusi ning ärikonsultatsiooni pakkuv Columbus ja liimpuidutootja Barrus* panid seljad kokku tagamaks, et igast puitpalgist**, mis jõuab Barrusesse, sünniks maksimaalne väärtus ning midagi, sh ka saepuru, ei läheks raisku.

Koduleht: https://www.columbusglobal.com/et/ ; https://www.barrus.ee/
Äridomeen: Tööstusettevõtete andmed ja analüütika, liimpuidu tootmine
Töökeel: Eesti keel
Positsiooni asukoht: Columbuse Tallinna/Tartu kontor või MS Teams vahendusel. Ettevõte jätab tudengile vabad käed ise otsustada eelistatud formaadi osas.

Potentsiaalsed uurimussuunad:

Masinõppe/tehisintellekti rakendamine uurimistulemustele
Tööprotsesside analüüs optimeerimise eesmärgiga

Põhiülesanded programmi ajal:

Barruse protsesside ja andmete kaardistamine
Eelnevate perioodide analüütika
Hüpoteeside seadmine, andmete märgistamine jms
Meeskondade vaheline suhtlemine
Tarkvara lahenduse proof-of-concept’i (koos)loomine ja selle põhjal magistritöö kirjutamine

Projekti X-faktor:
Võimalus kaasa lüüa kogu tarkvaraarenduse protsessi elutsüklis. Oled täisväärtuslik meeskonna liige kogu programmi vältel, saades mitmekülgset tuge ja õppimisvõimalusi kahe oma valdkonna tipptegija käe all. Saad võimaluse “käega katsuda”, kuidas üks tootmine käib ning peale programmi lõppu osapoolte soovil jätkama juba emba-kumba ettevõtte töötajana.

Juhendajad: Kristen Pugi (Columbus Eesti) ja Vaido Otsar (Barrus)

Ootused kandidaadile:

Omad baasteadmisi tarkvaraarendusest ja andmeteadusest
Sul on analüütiline mõtlemine ja probleemide lahendamise oskus
Oled hea suhtleja ning oskad ennast selgelt väljendada
Julged meiega koos katsetada ja analüüsida tulemusi

Varasem kogemus ei ole vajalik, kuid programmi ajal puutud Sa kokku järgmiste tarkvarade ja programmeerimiskeeltega:

Microsoft SQL andmebaasid ja T-SQL päringukeel
Ärianalüüsi ja visualiseerimistarkvara Power BI (DAX, Power Query)
Andmeteaduses enim levinud programmeerimiskeeled, sh Python, R
Microsoft Azure platvorm

*Barrus – elevant (Ladina k.)
**NB! Barrus väga hoolib Eesti metsast ning kasutab oma tootmises vaid sellist puitu, mis on varutud jätkusuutlikult majandatud metsadest.

Eesti Energia

Electric vehicles, distributed energy production, renewable energy sources and new energy storage options will disrupt the global energy industry. Coordinating the production and consumption of these assets requires novel machine learning solutions. Eesti Energia is working actively towards building these solutions. This will also be the narrower area of the Industrial Master’s student.

Website: https://www.energia.ee
Business domain: Electricity production, distribution, sale of electricity, customer and consulting services
Working language: English
Position location: Eesti Energia’s R&D department in Tartu (Delta Business Building)

Main tasks during the programme:

Developing various analytics and machine learning solutions to help achieve the balance, performance and optimality of the energy system of the future, i.e.:
- forecast production and consumption, e.g. how much solar energy will we produce in the next 5 hours; what will be the energy consumption of electric cars, taking into account their historical data.
- decide what is the most cost-effective way to move energy, e.g. should I store home-produced solar energy in a battery or consume it immediately?

Directions for thesis research area:

Machine Learning

Company’s X-factor:
We are a public limited energy company in Estonia founded in 1939 and to this day we are the world's biggest oil shale to energy company. As of 2014, we operate in Estonia, Latvia, Lithuania, Finland, Jordan and Utah, United States. In Estonia we operate under the name Eesti Energia, while brand name Enefit is used for international operations. You will get an opportunity to gain lots of insight on how things are done in the energy industry and influence the future of it.

Supervisors: Kristjan Eljand and Peeter Piksarv

Necessary skillset for the applicant:

Data wrangling in Python
Supervised learning
Optimizations and Reinforcement-learning know-how.

Singularity Creations

Singularity Creations is a small company that works on projects which get noticed and make a difference whether it is accounting, video marketing or video training. We have flexible hours, dedicated team and we strive to give our best in whatever we are working on – these little gray cells of Yours will get a lot of work. You will get a chance to build tools today that will redefine our tomorrow in the video industry. Jump on board!

Location: Tartu
Website: www.singularitycreations.ee
Business domain: Developing online services and information systems
Working language: English

Main tasks/opportunities during the programme:

Participate in building an asynchronous video training platform.
Take part in the entire development cycle.
Opportunity to lead or take the role of product owner.
Alternatively dive into both front- and backend coding and database design (JavaScript – NodeJS, GraphQL, Vue.js, MySQL, PostgeSQL).

Directions for thesis research area:

Possibilities of asynchronous video platforms.
Analyzing and optimizing sprint task estimation process.
Measuring and improving code delivery and quality via leveraging development and collaboration tools and/or processes.

Supervisor: Madis Kapsi (CTO) with his more than 10 years of coding experience he has vast knowledge in the field and he will be more than happy to teach You everything he knows.

Expectations for the applicant:

Great communication skills.
Familiar with software development tools and technologies (back-end/front-end development basics).
Team player who wants to contribute and learn, interests in possible leadership role.
Basic understanding of agile methods.

Reach-U

Reach-U is creating world-leading solutions for different industries like telco, security, smart cities and tourism. With more than 20 years of experience we have gathered skills in location based solutions, GIS and cartography. Our unique background delivers everything needed for launching solutions that include software, data, maps and support.

Website: https://www.reach-u.com/
Business domain: Data analysis technology for large datasets with special focus on location analytics
Working language: English and/or Estonian
Position location: Tartu

Main tasks during the programme:

Designing, coding and evaluating the performance of algorithms to extract insights from actual, real-life, datasets
Researching publicly available prior art

Directions for thesis research area:

Identifying patterns in geographic and behavioural datasets
Detecting hotspots and changes in spatio-temporal datasets
Interactive visualization methods of large datasets in browsers
Various methods of improving location accuracy in mobile networks

Company’s X-factor:

Reach-U is working with customers around the world on unique data-driven projects, for example analyzing 5G networks, fusing data from mobile, internet and TV traffic. With our purpose-built technology our customers can perform business analysis much more interactively than with other tools.

Supervisor: Elis Kõivumägi (Ph.D student in the University of Tartu, Distributed Systems group). Elis is involved in all cutting-edge projects with our customers, worked in the Demograft team for 7 years).

Expectations for the applicant:

Experience in JavaScript/Java/Python/R
Preferably experience using Jupyter, Tableau, QlikView or similar
Familiar at least with the basics of statistical analysis and ML methods

2019. aasta

Baltika Grupp

Website: www.baltikagroup.com
Business domain: Fashion Design and Retail
Working language: Estonian. English is possible if needed.
Position location: Tallinn

Baltika Grupp has one position but two different profiles to choose from.

PROFILE ONE

Main tasks during the programme:
Mapping of current IT as-is situation
Analysis of company data IT infrastructure and processes, with the focus on:
1. Order, Warehouse, Route Management, Inventory Management Systems upgrade vision and roadmap
2. Sales, CRM (omnichannel) to-be execution from IT perspective
Architectural research
Presentation / demonstration of new solutions, ideas, research findings
Software planning and/or development, testing

Directions for thesis ressearch area:

Open for discussion, possible options:
Recommend IT architecture TO-BE vision and roadmap
Persistent messaging and data consistency between microservices
Applying machine learning / AI to search results and salesperson decisions

Company's X-Factor:
Baltika is already using a number of digital solutions, such as: 3D design for physical product creation and AI for inventory distribution across the Baltics. The following machine learning projects are already in process and we are planning to continue with them. Digitization also needs a change from the perspective of the entire data world and IT systems, so there are certainly challenges and experiences worth being part of!

Supervisor:
Kairi Rais, Head of Business Processes and IT

Expectations for the applicant:

Back-end development basics
Knowledges about modern technical environments (microservices, REST API, webservices, SaaS, message brokers etc)
Independent thinker, but at the same time team player
Willingness to learn new things
Practical understanding about Supply Chain

PROFILE TWO

Main tasks during the programme:

Data hygiene assessment
Assess the company state to be able to take advantage of and implement machine learning applications
Data exploration and analysis
Analysis of AI supporting subsystems (What data do company have? What data is missing? What data could company add to make data more valuable)
Leading development of projects (to be agreed)
Power BI dashboards set up (creating a data model and visuals)

Directions for thesis ressearch area:

Open for discussion, possible options:
Descriptions of data infrastructure with recommendations
Recommend easy to implement AI use-cases (low hanging fruit)
Defined roadmap for develope AI ideas
Recommended AI tools to implementation

Company's X-Factor:
Baltika is already using a number of digital solutions, such as: 3D design for physical product creation and AI for inventory distribution across the Baltics. The following machine learning projects are already in process and we are planning to continue with them. Digitization also needs a change from the perspective of the entire data world and IT systems, so there are certainly challenges and experiences worth being part of!

Supervisor:
Kairi Rais, Head of Business Processes and IT

Expectations for the applicant:

Back-end development basics
Knowledges about modern technical environments (microservices, REST API, webservices, SaaS, message brokers etc)
Independent thinker, but at the same time team player
Willingness to learn new things
Practical understanding about Supply Chain

Car Rental Gateway

Website:www.carrentalgateway.com/
Business domain: Car rental distribution platform
Working language: English, Estonian
Position location: Tartu

Main tasks during the programme:
You will be part of a self-organising team, who creates new web services and maintains the already existing ones. Our platform is built of small independent web services and the main programming languages we use are JavaScript (Node.js) and PHP. Our front ends are being developed in AngularJS and React.

Directions for thesis ressearch area:

Implementation of continuous delivery
Microservices in Go programming language
GraphQL optimal design and implementation

Company's X-Factor:
Car Rental Gateway is a platform for different Car Rental Distributors. We are an efficient, flexible, pragmatic, and fast-paced enterprise. We are putting great emphasis on data and are practicing data-driven decision-making. Car Rental Gateway aims to be a market leader in car rental distribution technology. Today our platform is being used by Expedia, who is one of the biggest players in the online travel sector. We have also developed software for Rentalcars.com, the biggest car rental broker on the market. Our aim is to continue growing, bring innovation and be the pioneer of technological solutions at the car rental distribution sector.

Supervisor:
Kaspar Soer, CTO

Expectations for the applicant:

Experience with different programming languages;
A good understanding of web services;
Experience with version management software (e.g., GIT)
Excellent English language skills

Mobi Lab

Website: https://lab.mobi
Business domain: Industry 4.0
Working language: English
Position location: Tartu

Main tasks during the programme:
The goal is to design and develop mobile apps which would help to improve the quality and effectiveness of the field workforce in various industries and warehouse workforce in factories. Delivering a system which is automated, integrated and easy to use will require a mix of the following skills as Database (SQL), Back-end (Java) and mobile (Android) front-end development with integration to 3rd party ERP systems and hardware as RFID readers, BT beacons, various sensors etc.

Directions for thesis ressearch area:

User experience for the mobile workforce
Mobility in manufacturing and logistics
Automated IT solutions for the mobile workforce
Data collection and data analyses for work optimisation

Company's X-Factor:
At Mobi Lab, we are UX and UI designers, software engineers and product managers who have common passion for customer experience in digital products.
We belive in:

Passion as the key driver in life
Diversity, flexibility and community
Independence and self-driven motivation
A hidden superstar in every person

Supervisor:
Allan Valm & Veiko Raime

Expectations for the applicant:

Skills in Java software development and SQL
High motivation to learn business processes and business analytics
Testing everything and writing automated tests for integrations
Independent, self-motivated and very responsive

Overall

Website: www.overall.ee
Business domain: IT services, printing and imaging solutions
Working language: English and Estonian
Position location: Tartu

Main tasks during the programme:
Participation in specification and development of self-service printing environment components.
Those may include:

Mobile applications
Embedded device applications
Authentication technologies
Payment gateways
Reporting and usage data analysis including modelling and visualization
Dynamic discount system modelling
Usability testing

There is a possibility to get involved also with the predictive modelling work and ML activities for print fleet management.
This would entail:

Development of self learning predictive algorithms
Operational decision-making dashboard creation
Testing in live field service environment

Directions for thesis ressearch area:
Mobile application specification and development
Embedded application development for printing devices
Applying ML/AI possibilities to print fleet management and field service optimization

Company's X-Factor:
Overall Eesti is the leading provider of managed print services and solutions in Estonia. We develop and operate a unique public/private print service, Print In City. Print In City is currently available in Estonia, Latvia and Finland with pilots starting in the UK as well as selected countries outside of the EU. Overall is in the process of developing native methods and technology with the goal of transforming our print fleet management model to an efficient data driven and self learning predictive maintenance system to achieve significant cost and operational efficiencies. Overall provides equipment, solutions and services also in the areas of digital production print, multimedia presentation, professional camera and film. Our long time technology partners are global innovators Canon and HP.

Supervisor:
Your supervisor will be Overall’s systems architect and chief developer, Urmas Tamm. Urmas has a degree in Physics from the University of Tartu. For predictive fleet management work your supervisor will be Tõnis Haamer. Tõnis has an Informatics degree from Tallinn Technical University and is Overall Eesti board member.

Expectations for the applicant:

Experience in C# and ASP.Net
Knowledge of modern back-end and front-end development
Knowledge of mobile applications development
Experience and interest in Data Science Interest in learning and exploring new data modelling and visualization technologies and their application in business

Pipedrive

Website: www.pipedrive.com
Business domain: CRM
Working language: English
Position location: Tartu

Main tasks during the programme:

Software planning, development and testing
Architectural research
Team building
Cross-team communication
Presentation / demostration of new solutions, ideas, research findings

Directions for thesis ressearch area:
Persistant messageing and data consistancy between microservices
Applying machine learning / AI to search results and salesperson decisions
Real-time data replication between multiple datacenters
Something user behavior & tracking related - multiple topics there available

Company's X-Factor:
Pipedrive is one of the pioneers that joined the Industrail Master's Programme in IT back in 2017 and has taken in three Industrial Master's students in total, which means you will have students that have done the same path as you, as your colleagues.

Supervisor:
Marko Nõu, Engineering Manager

Expectations for the applicant:
Good communication skills, some programming skills, fun to work with.

Postimees Grupp

Website: www.postimeesgrupp.ee/
Business domain: Media
Working language: English/Estonian
Position location: Tallinn, Tartu (details will be agreed during the interview)

Main tasks during the programme:
We expect you to add value to our team with your webpages and application development experiences, among with knowledge thirst for frontend and backend technologies and languages
In addition, it would be beneficial if you'd have some knowledge in webpage/application optimization as well as modular and scalable software, API and object-oriented programming
In our day-to-day life we are using Node.js, Vue.js, PHP, Doctrine, Symfony, Laravel, MySQL, Docker, Python, but we are quite flexible and always trying to explore newest technologies and opportunities"

Directions for thesis ressearch area:
We would love you to do research and possibly your Master's thesis on a topic of using machine learning and natural language processing to discover and analyze patterns in articles, for expample:
Ability to identify and create keywords for articles using machine learning in the Estonian language even if the keyword itself has not been used in the article
Determine the tone of articles in the Estonian-language press through machine learning and compile statistics based on that"

Company's X-Factor:
Postimees Group is the Baltic region’s largest media group, the activities of which include print and online media content creation, television and radio production, e-commerce and classifieds portals, direct mail, publishing and printing services. Joing software development team, you will be working mostly on developing postimees.ee.
You will be able to choose the computer, OS and software that you feel the most comfortable working with.

Supervisor:
Alari Truuts, system architect

Expectations for the applicant:
Besides having (great) experience or deeper knowledge in the technologies that are mentioned above, you would be the perfect fit if you are curious team-player, who respects deadlines and is willing to go for that extra mile in order to achive goals.

Previser

Koduleht: www.previser.fi
Äridomeen: Raamatupidamine
Töökeel: Eesti keel
Positsiooni asukoht: Tallinn (täpsemad detailid lepitakse kokku intervjuu ajal)

Põhiülesanded programmi ajal:

Välja eraldada ja analüüsida tarkvarasüsteemide nõudmisi ja tarkvarasüsteemide vastavat disaini
Visandada tarkvaraprojekti plaani ning monitoorida projekti käiku
Disainida tarkvara arhitektuuri, mis on samal tasemel ettevõtte strateegia, struktuuri ja protsessidega
Uudsel tehnoloogial baseeruv palgaarvestuse programmi prototüübi loomine koostöös ettevõttega

Potentsiaalsed uurimissuunad:
Olemasolevate tarkvaralahenduste ja uute tehnoloogiate analüüs ning selle põhjal palgaarvestuse programmi prototüübi Soome turule.

Ettevõtte X-faktor:
Previser on raamatupidamise ettevõtte pakkudes raamatupidamise teenust Soomes tegutsevatele ettevõtetele. Peakontor asub meil Tallinnas ning samuti on kontor ka Soomes, Vantaas. On mitmeid ettevõtteid kes sama teenust pakuvad, kuid meie eripära seisneb pikaajalistel teadmistel ning reaalsel kogemusel. Previser OÜ on siiani Eestis ainuke, kes teeb koolitusi nii eesti kui vene keeles praktilisest Soome raamatupidamisest, rõhk sõnal praktiline. Sinu abiga saame viia ettevõtte uuele tasemele!

Juhendaja:
Eve Bork, ettevõtte juht

Ootused kandidaadile:

Oled huvitatud palgaarvestuse tarkvarast ning selle loomisest
Oled meeskonnamängija
Oled uudishimulik ning tahad õppida uusi asju
Sul on hea iseseisva töö oskus

Reach-U

Website: www.reach-u.com/
Business domain: Location-based Solutions and GIS
Working language: English. Knowledge of Estonian is useful, but not mandatory.
Position location: Tartu

Main tasks during the programme:

Designing, programming, and evaluating algorithms for various tasks (e.g. data mining algorithms, reports, visuals)
Self-development (i.e., reading papers on various scientific topics) and presenting findings to team members)
Documenting tasks

Directions for thesis research area:

Lookalike audience detection - Determine a set of users that resemble another group. o Keywords: big data, location, data analysis, machine learning
Human mobility analysis from mobile positioning data for smart-city and location-based advertising scenarios. o Keywords: human mobility patterns, trajectories, transport mode detection, location accuracy
Visualization of spatio-temporal data o Keywords: spatio-temporal data, visualization algorithms, visualization effectiveness and cognitive tasks experiments

Company's X-Factor:
Reach-U is one of the pioneers that joined the Industrial Master's Programme in IT back in 2017 and has been supporting the programme ever since. Joining the Industrial Master's Programme in IT with Reach-U will be easy for you and the company, since the know-how of what a student-life looks like is there. Plus, Reach-U is a company with a long history that values scientific approach in its work.

Supervisor:
Toivo Vajakas, Data Science expert with MSc in applied math. PhD student in informatics and mathematics. Interests: statistical models of spatio-temporal data, visualization, hi-performance computing.

Expectations for the applicant:

Common programming languages (Java, Python)
Version control systems (Git, SVN)
The following are a strong plus:
Prior experience with machine learning
Knowledge of statistics and Bayesian statistics
Strong analytical & visual thinking

Räpina Paberivabrik & Tartu digiinnovatsioonikeskus

Koduleht: www.rappin.ee
Äridomeen: Vanapaberist nurgaprofiilide tootmine
Töökeel: Eesti keel, inglise keel vastavalt vajadusele
Positsiooni asukoht: Tartu, Räpina (detailsem kokkulepe intervjuul)

Põhiülesanded programmi ajal:

Andmekogumise eesmärgistamine, koguvate andmete kaardistamine (kas, kus, kuidas ja mida kogutakse), muudatuste ettepanekud
Andmete ettevalmistamise ja analüüsi teostamine
Masinõppe tööriistade ja meetodite rakendamine äriprobleemide lahendamiseks

Potentsiaalsed uurimussuunad:

Andmepõhine ärianalüüs
Masinõppe rakendamine
Tööstus 4.0 teemaatika: ennetav vs ennustav hooldus masinate automaatseadistus, automaatmõõtmine jms või mõni muu just Sulle huvipakkuv uurimussuund, mis on seotud äriprotsessi valdkonnaga

Ettevõtte X-faktor:
Liitudes IT-tööstusmagsitrantuuri programmis Räpina Paberivabriku ning Tartu digiinnovatsioonikeskuse positsiooniga saad osaks millestki täiesti unikaalsest, sest tegemist on pilootprojektiga, mille tulemusena kajastame Sinu tegemisi väga paljudes kanalites ning oleme toeks igal sammul. Räpina Paberivabrik on keskkonnasõbralik ja stabiilselt arenev kaasaegne rahvusvahelise haardega ettevõte, kes austab paberitootmise traditsioone ja ajalugu. Tartu digiinnovatsioonikeskus on osa üleeuroopalisest DIH-võrgustikust, mida veab eest Tartu Ülikooli arvutiteaduse instituut.

Juhendaja:
Sind juhendavad arvutiteaduse instituudi infosüsteemide dotsent ning ettevõtte juhataja, Mihkel Peedimaa.

Ootused kandidaadile:

Masinõpe ja andmeteadus on sinu kirg
Oled süsteemne ning hea analüüsivõimega
Oled uudishimulik ning tahad õppida uusi asju

Singularity Creations

Website: www.singularitycreations.ee
Business domain: Developing online services and informations systems
Working language: English
Position location: Tartu

Main tasks during the programme:
Participate in building highly scalable microservices based video production automation product for online market. Take part in the entire development cycle. Opportunity to lead smaller projects or taking the role of product owner. Alternatively dive into both front- and backend coding and database design (JavaScript – nodejs, GraphQL, Vue.js, MySQL, PostgeSQL).

Directions for thesis ressearch area:

Video production automation innovation
Developing a deployment strategy for microservices based application

Company's X-Factor:
Singularity Creations offers You a smaller team, thanks to witch things are very agile and our team works very efficient.

Supervisor:
Madis Kapsi (CTO) with his more than 10 years of coding experience, Madis has vast knowledge in the field. You will get a chance to build tools today that will redefine our tomorrow in video industry.

Expectations for the applicant:

Familiar with software development tools and technologies (back-end/front-end development basics)
Team player who wants to contribute and learn, interests in possible leadership role
Basic understanding of microservices and curiosity to expand that knowledge
Good communication skills

STACC

Website: www.stacc.ee
Business domain: Data Science
Working language: English. Knowledge of Estonian is useful, but not mandatory
Position location: Tartu (UT Delta centre)

Main tasks during the programme:

Analysis and preparation of the data
Application of machine learning tools to solve business problems
Interpretation and communication of results to the business or project manager
Development of data driven products

Directions for thesis ressearch area:

Demand forecasting models
Recommendation systems for e-commerce
Natural language processing
Data driven business analysis

Company's X-Factor:
STACC (Software Technology and Applications Competence Center) is a research and development organization established in 2009 to conduct high-level applied research. As a leading machine learning center we work in cooperation with scientific and industrial partners. Our team consists of experts in the field with focus on applied machine learning and business projects. We use Python tools and pipelines, cloud computing and real-time APIs to deploy our models. Join our team and help us shape the AI landscape in Estonia.

Supervisor:
Eerik Muuli (MSc, PhD candidate at University of Tartu). Eerik Muuli is a software developer at STACC. He has worked with a wide range of practical machine learning problems, including data pipelines, monitoring systems, real-time APIs, and cloud infrastructure deployments.

Expectations for the applicant:

Experience with Python
Basic experience with Git and Linux
Data science and machine learning enthusiast
Extra points: Kaggle experience

Stagnation Lab I

Koduleht: www.stagnationlab.com
Äridomeen: Designing and building digital experiences
Töökeel: Estonian
Positsiooni asukoht: Tartu

Põhiülesanded programmi ajal:
Kokkuleppel

Potentsiaalsed uurimussuunad:

Effective GraphQL API design
Write once, deploy everywhere mobile solutions (Hybrid; Flutter; React Native)
Tooling for React/Typescript/GraphQL ecosystem
Replacing native apps with new web technologies

Ettevõtte X-faktor:
Stagnation Lab tegeleb veebitehnoloogiatel põhinevate keerukate erilahenduste loomisega.Kuue tegevusaasta sisse on jäänud meil mitmeid ämbrite kolistamisi, aga eelkõige lahedaid õppetunde ning eriti hästi välja tulnud lahendusi, näiteks Smart-ID rakendus, Telia TV telerite ja digibokside rakendused, Klarvinduer eritellimusel tehtud e-poe platvorm ja Dag Coin Extended Universe kogu ökosüsteem. Oleme oma viieliikmelist punti kasvatanud tänaseks mitu korda. Meiega on liitunud inimesi, kellele meeldib võtta ette tehniliselt keerukaid väljakutseid ning luua kliendile parimaid lahendusi. Kasutame moodsaid tehnoloogiaid ja hindame loodud lahenduste elegantsust. Järgime agiilse arenduse ja terve talupoja mõistuse põhimõtteid.
Meie igapäevased tööriistad on:

Backend: Node.js, GraphQL, TypeScript
Frontend: React, TypeScript
Mobiil: iOS, Android, Hybrid, React Native
Testimine: Jest, Cypress
Andmebaasid: MySQL, Postgres

Juhendaja:
Taavi Sangel ja Priit Kallas

Ootused kandidaadile:

Huvi veebirakenduste loomise vastu
Tahe õppida uusi asju ja viimaseid tehnoloogiaid
Boonuseks on praktiline kogemus eelnevalt mainitud tehnoloogiatega

Stagnation Lab II

Koduleht: www.stagnationlab.com
Äridomeen: Designing and building digital experiences
Töökeel: Estonian
Positsiooni asukoht: Tartu

Põhiülesanded programmi ajal:
Kokkuleppel

Potentsiaalsed uurimussuunad:

Effective GraphQL API design
Write once, deploy everywhere mobile solutions (Hybrid; Flutter; React Native)
Tooling for React/Typescript/GraphQL ecosystem
Replacing native apps with new web technologies

Backend: Node.js, GraphQL, TypeScript
Frontend: React, TypeScript
Mobiil: iOS, Android, Hybrid, React Native
Testimine: Jest, Cypress
Andmebaasid: MySQL, Postgres

Juhendaja:
Taavi Sangel ja Priit Kallas

Ootused kandidaadile:

Huvi veebirakenduste loomise vastu
Tahe õppida uusi asju ja viimaseid tehnoloogiaid
Boonuseks on praktiline kogemus eelnevalt mainitud tehnoloogiatega

Statistikaamet

Website: www.stat.ee
Business domain: Statistics, Data Science
Working language: English/Estonian
Position location: Tartu, Tallinn or Viljandi (agreed during the interview)

Main tasks during the programme:
Apply machine learning methods for data editing and imputation on real survey data.
Currently we are doing quite a lot data editing to improve quality of survey data. Experiences of another countries are shown that machine learning methods can reduce manual work a lot. We have several different datasets with manual edited data that could be used in this project. Expected outcome is set up editing and imputation program that can be modified and used in different works.

Directions for thesis ressearch area:

Machine learning
Statistical analysis

Company's X-Factor:
Statistics Estonia has the most diverse datasets in Estonia, which offers many different ways of analyzing them. We have high professionals working in Statistics Estonia from whom you can learn a lot and discuss together. In Statistics Estonia you can contribute to the development of data science so that the decision makers can make wiser decisions for the development of the society.

Supervisor:
Kristi Lehto, head of methodology team, MSc in Mathematical Statistics (University of Tartu). She has more than ten years of experience in official statistics.

Expectations for the applicant:

Good knowledge of R
High motivation to achieve results
Statistical background is an advantage, but not a necessity

Telia Company

Website: www.telia.ee/
Business domain: Telia TV service
Working language: Estonian/English
Position location: Tartu

Main tasks during the programme:
In this role Your responsibilities are developing and improving TV applications including the use of automated developer tools. Our DevOps team is the technology partner for business owners, responsible for developing and maintaining TV services and systems.

Directions for thesis ressearch area:

User behavior tracking ja analytics
TV screen messaging UX improvements
Ad engine implementation

Company's X-Factor:
Telia TV DevOps team is capable to handle all developments for Telia TV services and maintain it 24/7 In this role You often have to find and support balance between beauty and performance, frontend and backend, testability and code-base sustainability. What can be more challenging! With us You are part of the friendly and supportive team with various competences. At the same time no role is carved into the stone and initiatives towards other areas are highly recommended. You have access to develop features and applications, used by significant number of Estonian people every day. It’s a workplace where You can deal both with code developments and self-development. For that You have only to dare and care!

Supervisor:
Peeter Kask (leading developer and mentor), Kairi Meister (direct manager)

Expectations for the applicant:

You are interested on software developing through the whole lifecycle
You are curious to understand things on deeper level
You have rather good communication skills in order to become an excellent team player
You dare to show initiative and You are willing to plan Your daily job activities by Yourself
You have experience or basic skills as JavaScript developer
You will have to deal with:
JavaScript and HTML5 (React)
Android and iOS apps (React Native)
Linux and Set Top Boxes

PS. Set Top Box is just a tiny Linux computer with TV UI running on fullscreen browser window. Technically, it is a JS web application where memory usage and performance aspects cannot be underrated.

Threod Systems

Website: https://threod.com/
Business domain: Space Technology – Unmanned Aerial Systems
Working language: English/Estonian
Position location: Tallinn (details will be agreed during the interview)

Main tasks during the programme:

Design and develop embedded software/firmware for 32bit microcontrollers (using the C language)
Develop closed-loop digital control systems for an industrial environment, including microcontroller-based instrumentation and motor controls
Test and debug firmware on hardware platforms
Work with hardware engineers and purchasing to select hardware components
Create PC-based software tools for product testing, updating or configuration
Maintain code in repository using revision control tools
Support research and development efforts relating to ultrasonic, infrared and other sensor technologies
Support product connectivity over industrial networks such as Ethernet/IP, Modbus TCP and CAN
Document product features and functionality

Directions for thesis ressearch area:

Machine Learning and Training AI for Visual Object Recognizing
Sensor Fusion

Company's X-Factor:
Threod Systems is the leading developer and manufacturer of Unmanned Aerial Systems. In our headquarter in Estonia we have built a team who continues the tradition of quality, innovation and service our customers depend on.

Supervisor:
Once you join the Industrial Master’s Programme in IT at Threod Systems, you will be supervised by Ville Vellend, who has more than 30 years software development experience in every possible aspect and angle. Ville has spent the last ten years mostly with Unmanned Aerial Systems development. Under his supervision you will be guided through digital aerospace universe.

Expectations for the applicant:

Experience in Embedded C Programming. Ability to write clean and documented code.
Interest in technology, cooperation orientation, good communication skills and willingness to contribute to Threod’s success in an unmanned aerial systems area as part of the programme.
You would be essentially working part-time in all of our R&D engineering teams and see what makes us tick up close

TÜ arvutiteaduse instituut I

Website: https://biit.cs.ut.ee
Business domain: Precision medicine, bioinformatics
Working language: English/Estonian
Position location: Tartu (Delta centre)

Main tasks during the programme:
Developing the bioinformatics approaches and pipelines for genetic variant depending drug prescriptions (pharmacogenetics).

Directions for thesis ressearch area:
In this research, we will develop the computational pipeline to identify specific genetic variants linked to potential harmful side effects for drugs. Many variants are indicated on drug labels but they have not been available to doctors at the moment of prescription. Developing a database of such variants and computational pipeline for their detection is the main task.

Company's X-Factor:
You will be involved in the world’s first ever deployment of such pharmacogenetics predictions on national IT infrastructure. The team is about 10 people from IT, bioinformatics, genetics backgrounds. This project is of very high international interest.

Supervisor:
Prof Jaak Vilo and Research Fellow Sulev Reisberg, PhD

Expectations for the applicant:
The student should have excellent programming skills in Python and SQL, possibly also R. Interest in bioinformatics and health data is a must. Motivation to further obtain a PhD is a great plus.

TÜ arvutiteaduse instituut II

Website: https://biit.cs.ut.ee
Business domain: Precision medicine, bioinformatics
Working language: English/Estonian
Position location: Tartu (Delta centre)

Main tasks during the programme:
Developing the bioinformatics approaches and pipelines for genetic variant depending drug prescriptions (pharmacogenetics).

Supervisor:
Prof Jaak Vilo and Research Fellow Sulev Reisberg, PhD

TÜ arvutiteaduse instituut ja TÜ tehnoloogiainstituut I

Website: www.ims.ut.ee
Business domain: Human-Vehicle Interaction
Working language: English/Estonian
Position location: Tartu (Delta centre)

Main tasks during the programme:
Validating the state-of-the art in robotics and driverless vehicles; developing software; reading academic papers.

Directions for thesis ressearch area:

Robotics and driverless vehicles
Human-vehicle interaction modalities
Trust in autonomous driving

Company's X-Factor:
You will be involved in the project with several Industrial Master's in IT students, which will make your experience definitely more fun. Plus, your tasks will be related to collaboration between Bolt and UniTartu (https://www.ut.ee/en/news/bolt-kicks-self-driving-technology-research-pa...), which will give you an experience of a real R&D project.

Supervisor:
Assoc. Prof. Karl Kruusamäe and PhD Alexander Nolte

Expectations for the applicant:

Passion for writing software;
Eager for testing out new technologies;
Interest in conducting cutting edge research in an exciting new environment;
Excellent English skills for reading and understanding academic papers;
Self-motivated

TÜ arvutiteaduse instituut ja TÜ tehnoloogiainstituut II

Website: www.tuit.ut.ee/et/teadus/arun-kumar-singh, https://sisu.ut.ee/collabrobotics/home-0
Business domain: Robotics, Machine Learning
Working language: English/Estonian
Position location: Tartu (Delta centre)

Main tasks during the programme:
Setting up the experimental platform with autonomous driving simulators like CARLA to record driving behaviors in the form of trajectories.
Developing computational models to learn and predict driving actions in a given road scene.

Directions for thesis ressearch area:
In this research, we would adopt a data driven approach to learn and predict human driving behaviors. The main idea is to record human driving behavior on simulators and subsequently apply techniques like Inverse Reinforcement learning to develop computational models for human driving behavior.

Company's X-Factor:
You will be involved in the project with several Industrial Master's in IT students, which will make your experience definitely more fun. Plus, your tasks will be related to collaboration between Bolt and UniTartu (https://www.ut.ee/en/news/bolt-kicks-self-driving-technology-research-pa...), which will give you an experience of a real R&D project.

Supervisor:
Assoc. Prof. Arun Kumar Singh

Expectations for the applicant:
The student should have excellent programming skills in C++ and Python, etc. and moderate to good mathematical skills in topics like linear algebra, probability and machine learning. Prior robotics experience would be an advantage.

TÜ arvutiteaduse instituut ja TÜ tehnoloogiainstituut III

Website: ml.cs.ut.ee
Business domain: Safety in Autonomous Driving
Working language: English/Estonian
Position location: Tartu (Delta centre)

Main tasks during the programme:

Implementing state-of-the art methods relating to uncertainty estimation, sensor data analysis and path planning
Developing software
Reading academic papers

Directions for thesis ressearch area:

Safety in autonomous driving
Uncertainty estimation
Calibration in machine learning

Supervisor:
Assoc. Prof. Meelis Kull

Expectations for the applicant:

Strong mathematical and programming skills
Experience in software development
Passion for new technologies
Interest in conducting cutting edge research
Excellent English skills for reading and understanding academic papers

TÜ arvutiteaduse instituut ja PerkinElmer

Website: www.perkinelmer.com/ and https://biit.cs.ut.ee/
Business domain: Microscopy Image Analysis
Working language: English
Position location: Tartu (Delta centre)

Main tasks during the programme:
Exploratory analysis of the imaging data
Training various Neural Networks using different training strategies
Evaluation of trained models on independent data
Hyperparameter tuning
Presentation of the results to supervisors and the team members
Active participation in discussions

Directions for thesis ressearch area:

Segmentation of cells and cellular structures from microscopy images
Improving resolution of microscopy images
Analysing transferability of networks trained on one data set to another

Company's X-Factor:
This position is created within a R&D project that ICS academic staff is working on. Joining this project you will give you an advantage of easily managing your studies, as even the location of the position is in the same building with your academic studies.

Supervisor:
Leopold Parts (University of Tartu, Wellcome Sanger Institute) and Dmytro Fishman (University of Tartu). Supervisor from industrial partner's side: Kaupo Palo (PerkinElmer).

Expectations for the applicant:

Strong Python programming skills
Strong math and stats knowledge
Some experience or background in machine learning is a plus (but not obligatory)
Some background in computer vision is a plus (but not obligatory)
No biological background is needed, but a little enthusiasm about biology/medicine would be helpful

2018. aasta

eAgronom

Website: https://eagronom.com
Business domain: Agriculture
Working language: English

Main tasks during the programme:
Helping farmers become richer and environmentally safer through back-end or front-end development.

Directions for thesis research area:

Developing own-cost analysis;
Developing mobile application for farmers;
Developing task execution for farmers.

Supervisor:
Stenver Jerkku or Karl-Aksel Puulman

Expectations for the applicant:

Back-end or front-end development basics.
Huge thirst for knowledge and able to receive feedback
Want’s to learn or write Ruby on Rails or React-redux or React-native
Writing clean code with 90% test coverage(both unit and integration)
Independent thinker, but at the same time team player

Fortumo

Website: https://fortumo.com/
Business domain: Fintech
Working language: English

Main tasks during the programme:
Developing software to support Fortumo’s digital enablement platform, including mobile payments platform which processes millions of requests daily. Paritcipating in the all stages of development process. Being a technical project manager for smaller projects.

Directions for thesis research area:
Applying cutting-edge technologies to automate manual work, detect fraud or anomalies, optimise costs or anything that you find of interest.

Supervisor:
Toomas Välja

Expectations for the applicant:

Experience in low-level Java programming without fully relying on Spring and the like. Ability to write clean code.
Curiosity, proactivity and willingness to contribute to Fortumo’s success in a very tangible way as part of the programme.
You would be essentially working part-time in all of our engineering teams and see what makes us tick up close.

Kühne + Nagel IT Service Centre

Website: https://home.kuehne-nagel.com/
Business domain: Logistics
Working language: English

Main tasks during the programme:
Help to solve real business problems with state-of-the-art Machine Learning. Daily tasks may include all steps of typical ML application within a cross-functional agile team:

Analysis of business needs;
Data collection applications;
Data exploration and analysis;
Developing processing and monitoring pipelines;
Training and tuning ML models;
Validation of the model;
Productionalizing of the model as a service;
Dashboard development.

Directions for thesis research area:
Examples of ongoing or finished projects include:

Named entity extraction and automation of email workflows;
Anomaly detection from time series, logs etc.;
LeagalTech - contracts analysis;
Employee turnover prediction;
Customer credit risk evaluation;
Chatbots;
Computer Vision applications for warehouse;

And many other, including topics the student comes up with

Supervisor:
Ivan Senilov

Expectations for the applicant:

Strong CS background;
Knowledge of Calculus, Linear Algebra and Probability Theory;
Experience with high-level PL (Python/Java/C# etc);
Interest for ML/AI.

STACC

Website: www.stacc.ee
Business domain: Data Science
Working language: English. Knowledge of Estonian is useful, but not mandatory.

Main tasks during the programme:

Analysis and preparation of the data;
Machine learning;
Interpreting the results;
Recommendation systems product development;
Communicating the results to the business or project manager.

Directions for thesis research area:

Implementing recommendation systems in real world environment;
Measuring the performance of the recommendation systems;
Analysis of time dimension in recommendation systems.

Supervisor:
Kristjan Eljand (CEO of STACC) or Carlos Bentes (Tech Lead in STACC)

Expectations for the applicant:

Experience with Python;
Willingness to learn new things;
Basic experience with Git;
Data science and machine learning enthusiast.

Stagnation Lab

Website: www.stagnationlab.com/
Business domain: Designing and building digital experiences
Working language: Estonian

Main tasks during the programme:

Backend development (nodejs, REST, GraphQL, TypeScript);
Frontend development (React, GraphQL, TypeScript);
Unit testing (Jest) • End-to-end testing (Cypress);
Database design & management (MySQL, Postgres).

Directions for thesis research area:

Effective GraphQL API design;
Implementing GraphQL servers in TypeScript;
Unit testing GraphQL servers;
Tooling for React/Typescript/GraphQL ecosystem.

Supervisor:
Taavi Sangel (frontend wizard) or Priit Kallas (backend ninja)

Expectations for the applicant:

Interested in web applications development;
Experience with frontend development (JavaScript, HTML, CSS);
Eager to learn new things & latest Technologies;
Bonus: experience with React or TypeScript.

Pipedrive

Website: www.pipedrive.com/et
Business domain: CRM
Working language: English

Main tasks during the programme:

Software planning, development and testing;
Architectural research;
Team building;
Cross-team communication;
Presentation / demostration of new solutions, ideas, research findings.

Directions for thesis research area:

Persistant messageing and data consistancy between microservices;
Applying machine learning / AI to search results and salesperson decisions;
Real-time data replication between multiple datacenters;
Something user behavior & tracking related - multiple topics there available.

Supervisor:
Marko Nõu

Expectations for the applicant:
Good communication skills, some programming skills, fun to work with.

Datel I

Website: www.datel.ee/
Business domain: Space, Spatial information, Law enforcement, Environment
Working language: English/Estonian

Main tasks during the programme:
You are going to work as a part of Datel’s Space team with the influential early warning system. As a part of an agile team you will choose your tasks at weekly sprint planning meetings. You will be creating real value.

Directions for thesis research area:
Machine learning, Big Data, Pattern recognition (including visual patterns), Implementing new software engineering tools and practices, Cooperation projects with European Space Agency (ESA)

Supervisor:
Andreas Kiik (MSc in geoinformatics from Lund), Head of Space Unit in Datel and one of the masterminds behind our ground breaking product SILLE (www.sille.space).

Expectations for the applicant:
Familiar with software development tools (i.e. Git, JIRA) and Technologies (i.e. Java, Javascript). You should feel strong if you have in your references microservices architecture or Postgre or GiS related experience.

Fujitsu Estonia

Website: www.fujitsu.com/ee
Business domain: AI and data analytics in healthcare
Working language: English

Main tasks during the programme:

Investigate existing Fujitsu healthcare AI solutions and evaluate their applicability in Estonia. Possible piloting of one of these solutions.

Directions for thesis research area:

Communicate with Fujitsu other entities (solution owners) and Estonian healthcare (data owners). Validate Estonian healthcare data quality, its accordance to global health data standards and its applicability for existing Fujitsu AI solutions. Test and adapt if necessary existing AI solution. Document findings and present results.

Supervisor:
Dmitri Lepp (PhD)

Expectations for the applicant:

Either existing knowledge about data analytics or knowledge about healthcare data standards;
Good communications skills and willingness to work with multiple parties;
Strong analytical skills.

Data science and machine learning enthusiast

Positium LBS

Website: https://positium.com
Business domain: Big Data Analytics
Working language: English

Main tasks during the programme:

Directions for thesis research area:

Supervisor:
Erki Saluveer (CEO) or Margus Tiru (CDO)

Expectations for the applicant:

Optimization of processing of spatio-temporal data. Time series that cover different geographical areas and are unevenly updated have been challenging to process with traditional RDMS databases or with new frameworks of distributed processing. Student is expected to study different processing alternatives and compare them for processing passive mobile positioning data;
Optimization of processing of spatio-temporal data. Time series that cover different geographical areas and are unevenly updated have been challenging to process with traditional RDMS databases or with new frameworks of distributed processing. Student is expected to study different processing alternatives and compare them for processing passive mobile positioning data;
Interest in dealing with large sets of (location) data;
Readiness to study new technologies;
Willingness to do both: theoretical and applied research;
Presenting the work results on conferences and work-shops.

2017. aasta

eAgronom

Website: https://eagronom.com
Business domain: Agriculture
Working language: English

Main tasks during the programme:
Helping farmers become richer and environmentally safer through back-end or front-end development.

Directions for thesis research area:

Developing own-cost analysis;
Developing mobile application for farmers;
Developing task execution for farmers.

Supervisor:
Stenver Jerkku or Karl-Aksel Puulman

Expectations for the applicant:

Back-end or front-end development basics;
Huge thirst for knowledge and able to receive feedback;
Want’s to learn or write Ruby on Rails or React-redux or React-native;
Writing clean code with 90% test coverage(both unit and integration);
Independent thinker, but at the same time team player.

Fortumo

Website: https://fortumo.com/
Business domain: Fintech
Working language: English

Directions for thesis research area:
Applying cutting-edge technologies to automate manual work, detect fraud or anomalies, optimise costs or anything that you find of interest.

Supervisor:
Toomas Välja

Expectations for the applicant:

Experience in low-level Java programming without fully relying on Spring and the like. Ability to write clean code;
Curiosity, proactivity and willingness to contribute to Fortumo’s success in a very tangible way as part of the programme;
You would be essentially working part-time in all of our engineering teams and see what makes us tick up close.

STACC

Website: www.stacc.ee
Business domain: Data Science
Working language: English. Knowledge of Estonian is useful, but not mandatory.

Main tasks during the programme:

Analysis and preparation of the data;
Machine learning;
Interpreting the results;
Recommendation systems product development;
Communicating the results to the business or project manager.

Directions for thesis research area:

Implementing recommendation systems in real world environment;
Measuring the performance of the recommendation systems;
Analysis of time dimension in recommendation systems.

Supervisor:
Kristjan Eljand (CEO of STACC) or Carlos Bentes (Tech Lead in STACC)

Expectations for the applicant:

Experience with Python;
Willingness to learn new things;
Basic experience with Git;
Data science and machine learning enthusiast.

ReachU

Website: http://www.reach-u.com
Business domain: Location Based Solutions and GIS
Working language: English. Knowledge of Estonian is useful, but not mandatory.

Main tasks during the programme:

Designing, programming, and evaluating algorithms for various tasks (e.g. data mining algorithms, reports, visuals);
Self-development (i.e., reading papers on various scientific topics) and presenting findings to team members);
Documentig tasks.

Directions for thesis research area:

Anomaly detection and similar situation detection from spatio-temporal data (typical radio network data records have location with uncertainty plus ca 100 other attributes).
- Keywords: big data, location, data mining
Human mobility analysis from mobile positioning data for smart-city and location-based advertising scenarios.
- Keywords: human mobility patterns, trajectories, transport mode detection, location accuracy.
Visualization of spatio-temporal data
- Keywords: spatio-temporal data, visualization algorithms, visualization effectiveness and cognitive tasks experiments

Expectations for the applicant:
It is assumed that the applicant has at least some familiarity with the following:

Common programming languages (Java, Python);
Version control systems (Git, SVN).

The following are a strong plus:

Prior experience with machine learning;
Knowledge of statistics and Bayesian statistics;
Strong analytical & visual thinking.

Pipedrive

Website: www.pipedrive.com/et
Business domain: CRM
Working language: English

Main tasks during the programme:

Software planning, development and testing;
Architectural research;
Team building;
Cross-team communication;
Presentation / demostration of new solutions, ideas, research findings.

Directions for thesis research area:

Persistant messageing and data consistancy between microservices;
Applying machine learning / AI to search results and salesperson decisions;
Real-time data replication between multiple datacenters;
Something user behavior & tracking related - multiple topics there available.

Supervisor:
Marko Nõu

Expectations for the applicant:
Good communication skills, some programming skills, fun to work with.

Swedbank

Website: www.swedbank.ee/about?language=ENG
Business domain: Banking
Working language: Estonian/English

Main tasks during the programme:

Which are the IT process management standards, methods, and best practices used in Estonian banks;
What software development methodologies are used in Estonian banks nowadays;
Continue with making yourself familiar with;
Swedbank´s way of working with IT;
Teams and Divisions.
Then continue with:
Using your analytical skills for analyzing Swedbank’s teams and divisions needs and improving their way of working;
Document and describe processes, workflows;
Suggest how to support organization’s processes;
Suggest how to support organization’s way of working;
Participate in implementing process tools;;
Fill additional tasks as delegated by Process Owner/Manager
And writing you master thesis based on your area of interest or what you would like to improve.

Directions for thesis research area:

We are flexible and ready to provide a topic according to your interest and needs

Main areas you are willing to research may be:

Process analysis (IT service management ), needs determination and improvement;
IT Process management and its standards, methods, best practises;
Development and implementation of processes, standards, norms and ways of working in Swedbank IT;
Agile Software Development Approaches in traditional organizations (banks);
Ensuring coordination and optimization of IT service management process;
IT service management in banking ethics.

Supervisor:
Nadežda Furs-Nižnikova.

Expectations for the applicant:

Curious;
Fluent in English;
Good communication skills;
Strong and active listener;
Able to see the big picture, without losing the details;
Able to work in virtual team and with virtual resources;
Ready to deal with working cultures of Baltics and Sweden;
Ambitious, driven and supportive in nature and enjoys to be challenged;
Interested in working with Agile, IT Service Management (ITIL), Process Improvement (CSI), Quality Management, IT Governance (COBIT) or other frameworks/methods.

Plumbr I

Website: https://plumbr.io/
Business domain: Real User Monitoring / Application Performance Management
Working language: English

Main tasks during the programme:

Participate in developing Plumbr back-end services responsible for capturing, aggregating and visualizing hundreds of billions of events per day. The key technologies you will be working with involve Java, Druid & Kafka.

Directions for thesis research area:

Data Analytics/Big Data/Microservices/Performance Management and more. We work in the field where the potential for theses is wide, so eventually it will be dependent of the interests of the student.

Supervisor:
Vladimir Šor (PhD)

Expectations for the applicant:

You are not afraid of tackling complex technical problems. You admit you do not yet know everything but are eager to learn. You hate poorly built software and are willing to commit so that your craft is truly well built. In return you expect your co-workers to be true professionals from whom you have a lot to learn. If this describes you, we are a good match.

Plumbr II

Website: https://plumbr.io/
Business domain: Real User Monitoring / Application Performance Management
Working language: English

Main tasks during the programme:

Directions for thesis research area:

Data Analytics/Big Data/Microservices/Performance Management and more. We work in the field where the potential for theses is wide, so eventually it will be dependent of the interests of the student.

Supervisor:
Vladimir Šor (PhD)

Expectations for the applicant:

Otsinguvorm

Positsioonid

2020. aasta

2019. aasta

2018. aasta

2017. aasta