We are more than sure - Pipedrive doesn’t need any introduction. In 2020 it became the fifth unicorn from Estonia.
Website: www.pipedrive.com
Business domain: CRM
Working language: English
Position location: Tartu
Main tasks during the programme:
Directions for thesis research area:
Company's X-Factor:
Pipedrive is one of the pioneers that joined the Industrial Master's Programme in IT back in 2017 and has taken in five Industrial Master's students in total, so we really know the value of a master’s thesis. For example, Kiryl researched our software development process that gave us the needed assurement that we are on the right track. Alar, on the other hand, dug into the hackathons and gave us valuable insights that we didn’t have the opportunity to focus on otherwise. Don’t be shy - apply for a position (and bring a friend as there are six positions open)!
Supervisor: Marko Nõu, Head of Engineering
Expectations for the applicant:
Cleveron on südikas Viljandis asuv ettevõte, kellel on alati mõni üllatus varuks. Nagu aastal 2016, mil maailma suurim jaekett Walmart paigaldas Cleveroni pakirobotid USAs või kui aastal 2019 avati Viljandis Cleveroni akadeemia. Lahtise peaga, sooja südamega ning tugeva tööeetikaga tudeng – otsime just Sind! Liitu meiega ja ehitame koos tulevikku!
Koduleht: https://cleveron.com/
Tudeng panustab: autonoomse tänaval sõitva robotkulleri arendusse
Töökeel: Eesti / Inglise
Positsiooni asukoht: Viljandi / Tallinn
(Viljandisse ja tagasi käib iga päev ka spetsiaalne buss Tartust)
Põhiülesanded programmi ajal:
Potentsiaalsed uurimussuunad:
Teemad, mis panustavad tervikliku sõidukite kaughaldus- ja kontrollsüsteemi loomisesse Cleveroni näitel, nagu näiteks:
Projekti X-faktor:
Juhendaja: Martin Tammvee, Cleveron Mobility tarkvaraarendaja
Cleveronis puutud Sa kokku järgmiste tehnoloogiatega:
Have you ever wondered what it means to be a part of a startup? All the stories that surround the mysterious startup world… Are any of them true? Well, here’s your chance to find out, because Apromore offers you a deal - join the company via the Industrial Master’s Programme in IT! Apromore is a leading provider of open-source solutions for process mining and AI-driven business process improvement. Their flagship product is the result of award-winning research at The University of Melbourne and University of Tartu. In 2020 they attracted USD 4.77M in a Series A fundraising. Impressive, huh? That’s just the beginning! Don’t pass on the opportunity to study and be very hands-on in a startup - join Apromore today.
Domain: Business data analytics
Website: http://apromore.com
The student contributes to: the development of our high-fidelity business process simulation engine. This simulation engine will allow managers to measure the impact of any changes they plan to make to their business processes, before rolling out those changes.
Working language: English
Position’s location: Tartu (UniTartu Delta Centre)
Main tasks during the programme:
Potential directions for thesis research area:
Company’s X-factor:
Supervisor: Nikolay Roll, Product Analyst
At Apromore, you’ll be working with the following technologies:
Eesti Energia (EE) is an Estonian energy company founded in 1939. Traditionally, they have produced energy from the oil shale but the company is moving rapidly towards renewable energy sources. In 2020, almost 40% of the energy that EE produced came from renewable sources (compared to 16% in 2018). They operate in 6 markets: Estonia, Latvia, Lithuania, Poland, Finland and Sweden. In Estonia, EE operates under the name Eesti Energia, while brand name Enefit is used for international operations. If you join Eesti Energia, 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.
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:
Directions for thesis research area:
Project’s X-factor:
The energy industry is experiencing following major developments:
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 focus area of the Industrial Master’s student.
Supervisors: Kristjan Eljand and Peeter Piksarv
Necessary skillset for the applicant:
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:
Põhiülesanded programmi ajal:
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:
Varasem kogemus ei ole vajalik, kuid programmi ajal puutud Sa kokku järgmiste tarkvarade ja programmeerimiskeeltega:
*Barrus – elevant (Ladina k.)
**NB! Barrus väga hoolib Eesti metsast ning kasutab oma tootmises vaid sellist puitu, mis on varutud jätkusuutlikult majandatud metsadest.
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:
Directions for thesis research area:
Company’s X-factor:
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:
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:
Directions for thesis research area:
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:
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:
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:
PROFILE TWO
Main tasks during the programme:
Directions for thesis ressearch area:
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:
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:
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:
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:
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:
Supervisor:
Allan Valm & Veiko Raime
Expectations for the applicant:
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:
There is a possibility to get involved also with the predictive modelling work and ML activities for print fleet management.
This would entail:
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:
Website: www.pipedrive.com
Business domain: CRM
Working language: English
Position location: Tartu
Main tasks during the programme:
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.
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.
Koduleht: www.previser.fi
Äridomeen: Raamatupidamine
Töökeel: Eesti keel
Positsiooni asukoht: Tallinn (täpsemad detailid lepitakse kokku intervjuu ajal)
Põhiülesanded programmi ajal:
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:
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:
Directions for thesis research area:
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:
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:
Potentsiaalsed uurimussuunad:
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:
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:
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:
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:
Directions for thesis ressearch area:
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:
Koduleht: www.stagnationlab.com
Äridomeen: Designing and building digital experiences
Töökeel: Estonian
Positsiooni asukoht: Tartu
Põhiülesanded programmi ajal:
Kokkuleppel
Potentsiaalsed uurimussuunad:
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:
Juhendaja:
Taavi Sangel ja Priit Kallas
Ootused kandidaadile:
Koduleht: www.stagnationlab.com
Äridomeen: Designing and building digital experiences
Töökeel: Estonian
Positsiooni asukoht: Tartu
Põhiülesanded programmi ajal:
Kokkuleppel
Potentsiaalsed uurimussuunad:
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:
Juhendaja:
Taavi Sangel ja Priit Kallas
Ootused kandidaadile:
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:
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:
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:
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:
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.
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:
Directions for thesis ressearch area:
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:
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.
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.
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:
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:
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.
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:
Directions for thesis ressearch area:
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. Meelis Kull
Expectations for the applicant:
Website: www.perkinelmer.com/ and https://biit.cs.ut.ee/
Business domain: Microscopy Image Analysis
Working language: English
Position location: Tartu (Delta centre)
Directions for thesis ressearch area:
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: