Tampere University and Tampere University of Applied Sciences create a unique environment for multidisciplinary, inspirational and high-impact research and education. Our universities community has its competitive edges in technology, health and society. www.tuni.fi/en 

Open positions in computer vision and machine learning

We are seeking new master’s thesis workers to our computer vision and machine learning research group. 

The research work at Tampere University will be supervised by the Associate Professor Esa Rahtu. The application will also collaborate closely with the video coding team at Nokia Technologies in Tampere. We work broadly in the fields of computer vision and machine learning. We are pursuing research problems in geometric computer vision (including topics such as visual SLAM, visual-inertial odometry, and 3D scene reconstruction), in semantic computer vision (including topics such as image-based localization, object detection and recognition, and deep learning), video and image processing (compression), and statistical machine learning (Gaussian processes). 

Job description

The positions will offer excellent opportunities to work in a team of professionals responsible for developing cutting edge computer vision and machine learning technology, and allows you to learn many aspects from fundamental research problems to concrete applications.

These positions are part of a joint project with Nokia Technologies, where we develop machine learning approaches for video coding. In particular, we are interested in compression methods where the output is mainly aimed for machine consumption instead of humans. Such approaches are increasingly important due to the emerge of new computer vision-based systems, e.g. in autonomous driving and robotics. 

Requirements

We are especially seeking candidates with the following research interest:

• Neural Network based video coding
• Video Coding for machines

Ideal candidate has previous knowledge in machine learning, video or image coding, or computer vision. Experience in (or strong will to learn) programming with Python or C++/Java are considered as advantages.

Tampere University is a unique, multidisciplinary, and boldly forward-looking, evolving community. Our values are openness, diversity, responsibility, courage, critical thinking, erudition bildung, and learner-centredness. We hope that you can embrace these values and promote them in your work.

We offer

The positions will be filled for a fixed-term period of 6-8 months. The starting date of the positions will be negotiated individually. A trial period applies to all our new employees.

The salary will be based on both the job demands and the employee's personal performance in accordance with the University Salary System. The position of Master Thesis worker (Research Assistant) is placed on the job demand level 1 (the demand level chart for the teaching and research staff). In addition, employees will receive performance-based salary. The starting salary of a Master Thesis worker is ca. 2200 EUR per month.

We offer a wide range of staff benefits, such as occupational health care, flexible working hours, excellent sports facilities on campus and several restaurants and cafés on campus with staff discounts. Please read more about working at Tampere University.

We are inviting you to be a part of a vibrant, active and truly international research community. Interdisciplinarity is highly encouraged, as it allows you to expand your research network and exposes you to new perspectives and ideas to solve complex research problems and pursue novel research findings. We have a strong commitment to the highest level of scientific research and the provision of high-quality doctoral education.

Finland has been assessed to be among the best countries in the world with respect to many quality of life indicators, including being the overall #1 country in human wellbeing. Finland is among the leading countries in ICT & Digitalization, from 5G networks to financial technology, artificial intelligence and AR/VR innovations to IoT, digital education and health solutions. Finland’s booming gaming industry is led by companies like Supercell (Clash of Clans) and Rovio (Angry Birds). More information about studying and working in Finland can be obtained from the links.

How to apply

Please submit your application through our online recruitment system. The closing date for applications is 31 January 2022 (23:59 EET /UTC +2). Please write your application and all the accompanying documentation in English and attach them in PDF format. Please note that the review of applications will be done on a rolling basis, so early submissions are strongly encouraged.

Applications should include the following documents:

• Curriculum Vitae 
• School and university score records 

More information

For more information, please contact Associate Professor Esa Rahtu via email esa.rahtu@tuni.fi.  

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Tampereen yliopisto ja Tampereen ammattikorkeakoulu muodostavat yhdessä Suomen toiseksi suurimman monitieteisen, innostavan ja vaikuttavan tutkimus- ja oppimisyhteisön. Korkeakouluyhteisömme osaamiskärjet ovat tekniikka, terveys ja yhteiskunta. Lue lisää: www.tuni.fi

Tietokonenäön tutkimusryhmä hakee 1–2 tutkimusapulaista.

Tietokonenäön tutkimusryhmä kehittää uusia algoritmeja ja menetelmiä kuva- ja videodatan prosessointiin. Kehitettyjä menetelmiä voidaan soveltaa robotiikassa sekä muissa älykkäissä koneissa ja järjestelmissä. 

Tehtävänkuvaus
Tutkimusapulaisen tehtävä muodostuu tutkimusprojektin kehitystehtävistä, kuten algoritmi- ja ohjelmistokehityksestä ja tieteellisten artikkeleiden kirjoittamisesta. Tehtävänä on myös perehtyä laajasti alan aiempaan kirjallisuuteen.

Hakuohjeet

Lue tarkemmat tiedot tehtävästä ja hakuohjeet yllä olevasta englanninkielisestä ilmoituksesta.

Jätäthän hakemuksesi yliopiston sähköisellä hakulomakkeella (linkki löytyy tämän ilmoituksen alta). Hakuaika tehtävään päättyy 31.1.2022 klo 23.59.