Contacts of UT units

Dean's Office

Faculty contacts link:
Employee contacts

Faculty phone:
+ 372 737 5341

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

Faculty address:
Jakobi 2, rooms 116–121, 51005 Tartu
Institute of History and Archaeology

Faculty link:
www.flaj.ut.ee

Faculty contacts link:
Employee contacts

Faculty phone:
+372 737 5651

Faculty address:
Jakobi 2, 51005 Tartu
Institute of Estonian and General Linguistics

Faculty link:
keel.ut.ee

Faculty contacts link:
Employee contacts

Faculty phone:
+372 737 5221

Faculty email:
keeleteadus [at] ut.ee

Faculty address:
Jakobi 2, 51005 Tartu
Institute of Philosophy and Semiotics

Faculty link:
www.flfi.ut.ee

Faculty contacts link:
Employee contacts

Faculty phone:
+372 737 5314

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

Faculty address:
Jakobi 2, rooms 309–352, 51005 Tartu
Institute of Cultural Research

Faculty link:
www.flku.ut.ee

Faculty contacts link:
Employee contacts

Faculty phone:
(+372) 737 5223

Faculty email:
kultuuriteadused [at] ut.ee

Faculty address:
Ülikooli 16, 51003 Tartu
School of Theology and Religious Studies

Faculty link:
us.ut.ee

Faculty contacts link:
Employee contacts

Faculty phone:
+372 737 5301

Faculty email:
us [at] ut.ee

Faculty address:
Ülikooli 18–310, 50090 Tartu
College of Foreign Languages and Cultures

Faculty link:
maailmakeeled.ut.ee

Faculty contacts link:
Employee contacts

Faculty email:
keeled [at] ut.ee

Faculty address:
J. Liivi 4, 50409, Tartu
Viljandi Culture Academy

Faculty link:
kultuur.ut.ee

Faculty contacts link:
Employee contacts

Faculty phone:
+372 435 5232

Faculty email:
kultuur [at] ut.ee

Faculty address:
Posti 1, 71004 Viljandi

Dean's Office

Faculty contacts link:
Employee contacts

Faculty phone:
+ 372 737 5900

Faculty email:
sotsiaalteadused [at] ut.ee

Faculty address:
Lossi 36, 51003 Tartu
Institute of Education

Faculty link:
www.ht.ut.ee

Faculty contacts link:
Employee contacts

Faculty phone:
+372 737 6440

Faculty email:
haridus [at] ut.ee

Faculty address:
Salme 1a–29, 50103 Tartu
Johan Skytte Institute of Political Studies

Faculty link:
skytte.ut.ee

Faculty contacts link:
Employee contacts

Faculty phone:
+372 737 5582

Faculty email:
skytte [at] ut.ee

Faculty address:
Lossi 36–301, 51003 Tartu
School of Economics and Business Administration

Faculty link:
majandus.ut.ee

Faculty contacts link:
Employee contacts

Faculty phone:
+372 737 6310

Faculty email:
majandus [at] ut.ee

Faculty address:
Narva mnt 18, 51009 Tartu
Institute of Psychology

Faculty link:
psychology.ut.ee

Faculty contacts link:
Employee contacts

Faculty phone:
+372 737 5902

Faculty email:
psyhholoogia [at] ut.ee

Faculty address:
Näituse 2, 50409 Tartu
School of Law

Faculty link:
law.ut.ee

Faculty contacts link:
Employee contacts

Faculty phone:
+372 737 5390

Faculty email:
oi [at] ut.ee

Faculty address:
Näituse 20–324, 50409 Tartu
Institute of Social Studies

Faculty link:
yti.ut.ee

Faculty contacts link:
Employee contacts

Faculty phone:
+372 737 5188

Faculty email:
yhiskonnateadused [at] ut.ee

Faculty address:
Lossi 36, 51003 Tartu
Narva College

Faculty link:
www.narva.ut.ee

Faculty contacts link:
Employee contacts

Faculty phone:
+372 740 1900

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

Faculty address:
Raekoja plats 2, 20307 Narva
Pärnu College

Faculty link:
www.pc.ut.ee

Faculty contacts link:
Employee contacts

Faculty phone:
+372 445 0520

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

Faculty address:
Ringi 35, 80012 Pärnu

Dean's Office

Faculty contacts link:
Employee contacts

Faculty phone:
+372 737 5326

Faculty email:
med [at] ut.ee

Faculty address:
Ravila 19, 50411 Tartu
Institute of Biomedicine and Translational Medicine

Faculty link:
biomeditsiin.ut.ee

Faculty contacts link:
Employee contacts

Faculty phone:
+372 737 4210

Faculty email:
bsmi [at] ut.ee

Faculty address:
Biomeedikum, Ravila 19, 50411 Tartu
Institute of Pharmacy

Faculty link:
farmaatsia.ut.ee

Faculty contacts link:
Employee contacts

Faculty phone:
+372 737 5286

Faculty email:
pharmacy [at] ut.ee

Faculty address:
Nooruse 1, 50411 Tartu
Institute of Dentistry

Faculty link:
hambaarstiteadus.ut.ee

Faculty contacts link:
Employee contacts

Faculty phone:
+372 731 9856

Faculty address:
Puusepa 1a, 50406 Tartu
Institute of Clinical Medicine

Faculty link:
clinicalmedicine.ut.ee

Faculty contacts link:
Employee contacts

Faculty phone:
+372 737 5323

Faculty email:
kmi [at] ut.ee

Faculty address:
L. Puusepa 8, 50406 Tartu
Institute of Family Medicine and Public Health

Faculty link:
tervis.ut.ee

Faculty contacts link:
Employee contacts

Faculty phone:
+372 737 4190

Faculty email:
dph [at] ut.ee

Faculty address:
Ravila 19, 50411 Tartu
Institute of Sport Sciences and Physiotherapy

Faculty link:
www.kk.ut.ee

Faculty contacts link:
Employee contacts

Faculty phone:
+372 737 5360

Faculty email:
kkdek [at] ut.ee

Faculty address:
Ujula 4, 51008 Tartu

Dean's Office

Faculty contacts link:
Employee contacts

Faculty phone:
+372 737 5820

Faculty email:
ltt [at] ut.ee

Faculty address:
Vanemuise 46–208, 51003 Tartu
Institute of Computer Science

Faculty link:
cs.ut.ee

Faculty contacts link:
Employee contacts

Faculty phone:
+372 737 5445

Faculty email:
ics [at] ut.ee

Faculty address:
Narva mnt 18, 51009 Tartu
Estonian Marine Institute

Faculty link:
mereinstituut.ut.ee

Faculty contacts link:
Employee contacts

Faculty phone:
+372 671 8902

Faculty address:
Mäealuse 14, 12618 Tallinn
Institute of Physics

Faculty link:
www.fi.ut.ee

Faculty contacts link:
Employee contacts

Faculty address:
W. Ostwaldi 1, 50411 Tartu
Institute of Chemistry

Faculty link:
chem.ut.ee

Faculty contacts link:
Employee contacts

Faculty phone:
+372 737 5261

Faculty email:
chemistry [at] ut.ee

Faculty address:
Ravila 14a, 50411 Tartu
Institute of Genomics

Faculty link:
genomics.ut.ee

Faculty contacts link:
Employee contacts

Faculty phone:
+372 737 4000

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

Faculty address:
Riia 23b, 51010 Tartu
Institute of Mathematics and Statistics

Faculty link:
www.math.ut.ee

Faculty contacts link:
Employee contacts

Faculty phone:
+372 737 5860

Faculty email:
ltms [at] ut.ee

Faculty address:
Narva mnt 18, 51009 Tartu
Institute of Molecular and Cell Biology

Faculty link:
tymri.ut.ee

Faculty contacts link:
Employee contacts

Faculty phone:
+372 737 5027

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

Faculty link:
www.kosmos.ut.ee

Faculty contacts link:
Employee contacts

Faculty phone:
+372 737 4510

Faculty email:
kosmos [at] ut.ee

Faculty address:
Observatooriumi 1, Tõravere, 61602 Tartumaa
Institute of Technology

Faculty link:
tuit.ut.ee

Faculty contacts link:
Employee contacts

Faculty phone:
+372 737 4800

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

Faculty address:
Nooruse 1, 50411 Tartu
Institute of Ecology and Earth Sciences

Faculty link:
www.omi.ut.ee

Faculty contacts link:
Employee contacts

Faculty phone:
+372 737 5835

Faculty email:
om [at] ut.ee

Faculty address:
Vanemuise 46, 51003 Tartu

Institutions

Library

Faculty link:
utlib.ut.ee

Faculty contacts link:
Employee contacts

Faculty phone:
+372 737 5702

Faculty email:
library [at] utlib.ee

Faculty address:
W. Struve 1, 50091 Tartu
Youth Academy

Faculty link:
teaduskool.ut.ee

Faculty contacts link:
Employee contacts

Faculty phone:
+372 737 5581

Faculty email:
teaduskool [at] ut.ee

Faculty address:
Uppsala 10, 51003 Tartu
Museum

Faculty link:
muuseum.ut.ee

Faculty contacts link:
Employee contacts

Faculty phone:
+372 737 5674

Faculty email:
muuseum [at] ut.ee

Faculty address:
Lossi 25, 51003 Tartu
University of Tartu Natural History Museum and Botanical Garden

Faculty link:
natmuseum.ut.ee

Faculty contacts link:
https://www.ut.ee/en/kontakt/loodusmuuseum-botaanikaaed

Faculty phone:
+372 737 6076

Faculty email:
loodusmuuseum [at] ut.ee

Faculty address:
Vanemuise 46, 51003 Tartu

Support Units

Administrative Office

Faculty contacts link:
Employee contacts

Faculty phone:
+372 737 5606

Faculty email:
kantselei [at] ut.ee

Faculty address:
Ülikooli 18a, 51005 Tartu
Centre for Entrepreneurship and Innovation

Faculty contacts link:
Employee contacts

Faculty phone:
+372 737 4809

Faculty email:
eik [at] ut.ee

Faculty address:
Narva mnt 18, 51009, Tartu
University Office in Tallinn

Faculty link:
University Office in Tallinn

Faculty contacts link:
Employeescontacts

Faculty phone:
+372 737 6600

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

Faculty address:
Teatri väljak 3, 10143 Tallinn
Estates Office

Faculty contacts link:
Employee contacts

Faculty phone:
+372 737 5137

Faculty address:
Ülikooli 18a, 51005 Tartu
Finance Office

Faculty contacts link:
Employee contacts

Faculty phone:
+372 737 5125

Faculty email:
rahandus [at] ut.ee

Faculty address:
Jakobi 4, 51005 Tartu
Grant Office

Faculty contacts link:
Employee contacts

Faculty phone:
+372 737 6215

Faculty address:
Raekoja plats 9, 51004 Tartu
Information Technology Office

Faculty contacts link:
Employee contacts

Faculty phone:
+372 737 6000, IT-help: +372 737 5500

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

Faculty address:
Ülikooli 18a, 51005 Tartu
Human Resources Office

Faculty contacts link:
Employee contacts

Faculty phone:
+372 737 5145

Faculty email:
personal [at] ut.ee

Faculty address:
Ülikooli 18, rooms 302 and 304, 50090 Tartu
Internal Audit Office

Faculty contacts link:
Employee contacts

Faculty email:
siseaudit [at] ut.ee

Faculty address:
Ülikooli 18-244, 51005 Tartu
International Cooperation and Protocol Office

Faculty contacts link:
Employee contacts

Faculty phone:
+372 737 6123

Faculty email:
iro [at] ut.ee

Faculty address:
Ülikooli 18, rooms 104, 301, 305, 50090 Tartu
Marketing and Communication Office

Faculty contacts link:
Employee contacts

Faculty phone:
+372 737 5687

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

Faculty address:
Ülikooli 18, rooms 102, 104, 209, 210, 50090 Tartu
Office of Academic Affairs

Faculty contacts link:
Employee contacts

Faculty phone:
+372 737 5620

Faculty address:
Ülikooli 18, 50090 Tartu
Procurement Office

Faculty contacts link:
Employee contacts

Faculty phone:
+372 737 6632

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

Faculty address:
Ülikooli 18a, 51005 Tartu
Rector's Office
Rector's Strategy Office

Faculty contacts link:
Employee contacts

Faculty phone:
+372 737 5600

Faculty email:
rektor [at] ut.ee

Faculty address:
Ülikooli 18, 50090 Tartu
Student Council

Faculty link:
tyye.ut.ee

Faculty contacts link:
Employee contacts

Faculty email:
info [at] tyye.ee

Faculty address:
Ülikooli 18b, 51005 Tartu
University of Tartu Press

Faculty link:
www.tyk.ee

Faculty contacts link:
Employee contacts

Faculty phone:
+372 737 5945

Faculty email:
tyk [at] ut.ee

Faculty address:
W. Struve 1, 50091 Tartu

University of Tartu Academic Sports Club

Faculty link:
sport.ut.ee

Faculty phone:
+372 737 5371

Faculty email:
info [at] tysk.ee

Faculty address:
Ujula 4, 51008 Tartu
Tartu Student Village

Faculty link:
campus.ee

Faculty phone:
+372 740 9959

Faculty email:
info [at] kyla.ee

Faculty address:
Narva mnt 25, 51013 Tartu
Tartu Students’ Club

Faculty link:
www.tym.ee

Faculty phone:
+372 730 2400

Faculty email:
tym [at] ut.ee

Faculty address:
Kalevi 24, 51010 Tartu
Tartu University Hospital

Faculty link:
www.kliinikum.ee/eng

Faculty email:
kliinikum [at] kliinikum.ee

Faculty address:
L. Puusepa 1a, 50406 Tartu
University of Tartu Foundation

Faculty link:
sihtasutus.ut.ee/en

Faculty phone:
+372 737 5852

Faculty email:
triin.vakker [at] ut.ee

Faculty address:
Ülikooli 18, 50090 Tartu
View all other units

Faculty link:
www.ut.ee/en/other-units

Thesis topics

Are you looking for a topic and supervisor?

It is good to start looking for the topic and supervisor for your thesis early. Talk with different potential supervisors in order to find the best topic. Agree on the focus of the theses and the work plan so that you know what are the supervisor´s expectations.

Remember that at least one of the supervisors have to be an employee of the University of Tartu. The supervisor can be a person with at least a Master´s degree or an education equivalent to it.

In order to find the thesis topic, you have the options to:

Find below by the research field which topics have been suggested by the research groups of the Institute of Technology.
Get to know the research groups of the Institute of Technology and find a field that speaks to you. Contact the leader of the research group and find opportunities to do the thesis.

Thesis topics in 2020/2021 academic year:

Environmental technologies

Topic	Information	Contact
Effects of simultaneously modified stomatal numbers and aperture on plant water use efficiency and photosynthesis	More information about the research group here	Hanna Hõrak (hanna.horak [ät] ut.ee)
Effects of simultaneous manipulation of stomatal parameters and photosynthesis on plant water use efficiency and yield	More information about the research group here	Hanna Hõrak (hanna.horak [ät] ut.ee)
Systemic effects of phytohormones on stomatal development	More information about the research group here	Hanna Hõrak (hanna.horak [ät] ut.ee)
The role of kinases and phosphatases preferentially expressed in guard cells in the regulation of stomatal development and aperture	More information about the research group here	Hanna Hõrak (hanna.horak [ät] ut.ee)

Intelligent computer vision

Topic	Information	Contact
EEG Based Emotion Recognition and Classification	During the thesis the student will work with experimental data gathered by iCV research group where subjects had to express and suppresses their emotions based on visual stimulus. Firstly, the student will synchronize EEG data with video recordings based on subject response to visual and audio stimulus. Afterwards the student will create an EEG data training set from EEG data where subjects are requested to express their emotions and afterwards recognize and classify emotions when subject were asked to suppress their emotions.	Egils Avots (egils.avots2 [ät] gmail.com)
Object tracking in 360-degree equirectangular spherical panorama videos and multi camera setup	The aim of the thesis is to create a software that can track objects in 360-degree video setup and in multiple camera setups where the images are stitched together from multiple viewpoints to cover a 360-degree view of the surroundings. The student will use existing object tracking algorithms and adopt them to work with panorama type images. The main application would be targeted to maritime surveillance, where distant objects are tracked across multiple cameras.	Egils Avots (egils.avots2 [ät] gmail.com)
Gaze tracking based developer experience level assessment	In the past studies, research has shown that visual attention has a big role in programming. Also, previous studies demonstrate there is a significant difference between how developers read source code. For example, less experienced developers spend more time on examining the comments while more experienced ones focus on the complex parts of the code. Such differences opens a possibility to assess experience level based on the gaze of the developer. One of the problems with past studies in this topic is that eye tracking apparatus are used in order to track the gaze. Now that technology is improved, it is possible to track the gaze using a standard camera embedded in laptops or webcams. This project aims to create an assessment tool which evaluates the experience level of the developer, using the gaze data obtained from a generic laptop camera. In the final tool, the developer will be shown a simple code and will be asked about the code’s functionality. Then, the developed method will obtain gaze data using deep learning based techniques. Afterwards, this gaze data will be used to assess the experience level of the developer using deep learning based methods.	Kadir Aktas (kadiraktass [ät] outlook.com)
Automated skills assessment of one way video interviews	Number of applicants for a job position may exceed hundreds, even thousands. It is not possible to manually screen all the applicants efficiently in such cases. For this reason, automated analysis of applications is a popular topic in the recruitment field. One of the solutions provided for this problem is automated skills extraction from text based mediums i.e. CVs or social media profiles. However, such solutions do not cover video interviews which are increasingly being involved in the recruitment process. This project aims to fill this gap. Scope of the project is developing a deep learning based method which uses the linguistic data from a one way video interview, in order to assess the skills mentioned in the video by the applicant. In this project, natural language processing techniques will be used in order to obtain the best model. Also, dataset preparation is an important part of the initial challenge.	Kadir Aktas (kadiraktass [ät] outlook.com)

Intelligent materials and systems

Topic	Information	Contact
Bioinspired micro-robots propelled by artificial muscles	The locomotion and object manipulation mechanisms in nature are much different from those commonly used in robots. Put in another way, the toolbox available for the today’s roboticists is limited to a rather narrow range of achievable actuation modes (typically combinations of rotary and linear actuations), resulting in the today’s robots being effectively only in modes that are easily achievable by the available techniques. In contrast, soft robotics offers a practically infinite range of achievable actuation modes, enabling mimicking most locomotion modes known from the nature. More information here.
Variable-stiffness soft robotics materials	Soft robots introduce the need for modulating the stiffness of the materials. In fact, the perspective applications in bioinspired soft robots are not possible without stiffness control. In this package, several robotics concepts are designed and evaluated for stiffness modulation (intrinsic or extrinsic heating, …).
Electroactive textiles and textile electronics	The evolutionary development of artificial muscles at IMS Lab has recently crossed with embedding a textile reinforcement into the structure for more efficient assembly process Evidently, the gain of this additional step is not limited to more repeatable fabrication, but it effectively stitched together two major industrial development directions: soft robotics (represented by the artificial muscle) and wearable electronics (inseparable from utilizing a textile platform). This newfound crossing point creates fascinating opportunities: the artificial muscles are readily embedded into textiles and can be rendered as a true artificial skin. The perspective applications include healthcare, sports, and fashion. This activity involves tuning the material preparation and prototyping of the wearable technologies.
Perception of wearable robots	Soft robotics enables perspective wearable applications for human health monitoring and improvement. More specifically, the mechanical properties of soft robot components can be tuned to closely match the properties of human tissues. This concept is very different from the conventional approach, typically involving a rigid probe touching the human tissue. The aspects of user perception of wearable robots in direct contact with the human body, involving moving or morphing components, is not clear in detail. Aimed at futuristic health improvement technologies, the work involves the design of a soft morphing embodiment attached on the skin and registering the perception by the user. Skills and interests in electronics prototyping and data analysis are desired.
Soft vacuum-compatible manipulator	Scanning electron microscopy (SEM) offers real-time visualization of nanoscale objects at a resolution beyond the optically achievable. Concurrently, in-situ manipulation of soft samples with SEM feedback is needed. Our soft shape-changing actuators made of an electromechanically active ionic and capacitive laminate (ICL) are attractive as SEM micromanipulators specifically for soft (also biological) samples, gels and liquids. Although the ICLs do contain a liquid electrolyte that traditionally has been considered incompatible, the non-evaporative characteristic of the ionic liquid electrolyte enables stable operation even in vacuum environment. As an important asset, the ICL micromanipulator can be attached with sensors for getting multiscale perception of the soft objects at microscale. This work involves mechanical and electrical design of the micromanipulator, design and integration of a control system (e.g. a haptic glove), assembly, and testing.
Web interface for Robotont, open-source robot	Webpage-based front end to control and configure Robotont robots.	Karl Kruusamäe (karl.kruusamae [ät] ut.ee) Arun Kumar Singh (arun.singh [ät] ut.ee)
User-study on human perception of a driverless vehicle's intent	The objective of this thesis is to investigate how people would interpret the actions of a driverless vehicle in real-life scenario.	Karl Kruusamäe (karl.kruusamae [ät] ut.ee) Arun Kumar Singh (arun.singh [ät] ut.ee)
Modelling and prototyping smart urban mobility infrastructure	The aim is to evaluate and prototype a static sensor setup (3D LiDARs) to reduce perception overhead of an autonomously driving agent	Karl Kruusamäe (karl.kruusamae [ät] ut.ee) Arun Kumar Singh (arun.singh [ät] ut.ee)
ROS2 for robotont	Creating ROS2 support for robotont mobile platform	Karl Kruusamäe (karl.kruusamae [ät] ut.ee) Arun Kumar Singh (arun.singh [ät] ut.ee)
Digital twins in Gazebo and/or in Unity	The objective of this thesis is to integrate robots available at the Institute of Technology in a single Gazebo simulation world to enable further software development and educational activities using these robots. The specific tasks within this thesis will include testing existing Gazebo packages of off-the-shelf robots and creating/improving simulation capabilities for other robots. Alternatively, this thesis could focus on creating a virtual reality representation of facilities and equipment at IMS-Robotics	Karl Kruusamäe (karl.kruusamae [ät] ut.ee) Arun Kumar Singh (arun.singh [ät] ut.ee)
RoboCloud	Setting up a system that allows booking time on a physical but networked remote robot to validate and test robot software. The thesis involves system administration and front-end development.	Karl Kruusamäe (karl.kruusamae [ät] ut.ee) Arun Kumar Singh (arun.singh [ät] ut.ee)
Making KUKA youBot user friendly again	This thesis focuses on integrating the low-level software capabilities of KUKA youBot in order to achieve high-level commonly used functionalities such as: teach mode - robot can replicate user demonstrated trajectories end-effector jogging gripper control gamepad integration - user can control the robot via gamepad *web integration - user can control the robot via internet browser The thesis is suitable for both, master and bachelor levels, as the associated code can be scaled up to generic "user-friendly control" package.	Karl Kruusamäe (karl.kruusamae [ät] ut.ee) Arun Kumar Singh (arun.singh [ät] ut.ee)
Social robot for neuro-rehabilitation	Customizing humanoid robot to assist doctors and psychologist during children's speech training sessions.	Karl Kruusamäe (karl.kruusamae [ät] ut.ee) Arun Kumar Singh (arun.singh [ät] ut.ee)
Printed carbon electrodes for miniature devices
Synthesis of carbon microspheres for development of functional inks

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Thesis topics