Tampere University

Doctoral Researcher (Computer Vision and Machine Learning), 1-2 positions

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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 Phd students to our computer vision and machine learning research. 

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 while pursuing your Phd thesis.

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. 

Successful candidates will pursue a doctoral degree at Tampere University. 


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.

You need to have a Master’s degree in computer science, electrical engineering, mathematics, physics, or a related field and have demonstrated (during your studies towards the Master’s degree or otherwise) the competence and motivation to pursue postgraduate studies. Please be prepared to provide proof of your merits when requested.

Successful candidates must be pursuing or will be accepted to study towards a doctoral degree in the doctoral programme of the discipline. Please visit the admissions webpage https://www.tuni.fi/en/study-with-us/programmes/doctoral-programmes for more information on eligibility requirements.

Candidates are selected based on the level of promise that they show, and this will be evaluated based on their previous success in studies, and other relevant merits.

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 one year. 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 requirements and the employee’s personal performance in accordance with the salary system of Finnish universities. According to the criteria applied to teaching and research staff, the position of a Doctoral Researcher is placed on level 2—4 of the job requirements scale. A typical starting salary for Doctoral Researchers is approximately 2400 EUR/month and it will increase during the studies depending on the progress (up to 3400 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. We value interdisciplinarity, 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 are strongly committed 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.

Lisätietoa työpaikasta

Doctoral Researcher (Computer Vision and Machine Learning), 1-2 positions
Kalevantie 4 Tampere, Suomi
Viimeinen hakupäivä
Työpaikan tyyppi
Tallenna suosikiksi Luo Paikkavahti

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