Three Doctoral Researchers for Machine Vision and Signal Analysis

Posted 10 months ago

The University of Oulu is one of the biggest and most multidisciplinary universities in Finland. We create new knowledge and innovations that help to solve global challenges. We offer you an international and inspiring working environment where you are given responsibility and can use your skills, develop yourself and do work that matters. Our flexible and family-friendly workplace makes it easy for you to balance work and leisure. The University of Oulu is ranked in the top 3% of the world´s universities. 

We are now seeking

three Doctoral Researchers

to work on the research project “Towards reading retinal fundus images for real-world clinical applications” led by Academy Research Fellow Qing Liu, and the other two doctoral student positions to work on face analysis and multi-modal learning led by Academy Professor Guoying Zhao in the Center for Machine Vision and Signal Analysis Research Unit (CMVS) to work on the development and implementation of algorithms for eye disease diagnosis with fundus images, face privacy protection or multi-modal learning.

About CMVS

CMVS provides an inspiring and international research environment. CMVS is renowned world-wide for its scientific breakthroughs in machine vision and signal analysis. Many of its results, including the Local Binary Pattern, face analysis and geometric camera calibration methodologies, are highly cited and have been adopted for different types of problems and applications around the world. The unit is internationally attractive, with one visiting FiDiPro Professor and one Fellow, several visiting scholars and an extensive international collaboration network, enabling a large number of joint publications in leading forums.

The main research interests of CMVS are in computer vision and machine learning, affective computing, multimodal image and signal analysis, low-energy computing, and applications in affective human-computer interaction, biometrics, augmented reality, and biomedicine. In physiological signal analysis basic, applied and translational research in biomedical engineering is carried out to tackle key challenges of next generation personalized medicine and wellness solutions. In its field the Research Unit is globally highly ranked with research activities based on international collaborations. The partners of CMVS include three institutes of Chinese Academy of Sciences (Computing Technology, Psychology, and Automation), National University of Singapore, Stanford University (USA), University of Georgia (USA), Imperial College London, Czech Technical University (Prague), University of Maryland (USA), Idiap Research Institute (Switzerland), and EPFL (Switzerland). At the University of Oulu the Research Unit and its leading experts are responsible for undergraduate, graduate, and post-doctoral education in the field.

Open positions for a doctoral researcher

As a doctoral researcher, you will study the courses related to the subject field, collaborate with other team members working on the same project or same subject and write research papers and technical reports. You will analyze the experimental results, find out the problems and adjust to new solutions.

For the first position, you would work in the field of medical image analysis and machine learning, carrying out also the following tasks:

  1. Collect and process multi-modal data with group members
  2. Implement different methods and develop new algorithms for eye disease detection from multimodal data

For the second position, you would work in the field of computer vision and machine learning, carrying out the following tasks:

  1. Collect, annotate and process multi-modal facial data with group members
  2. Implement different methods and develop new algorithms for face analysis from multimodal data

For the third position would work in the field of computer vision and machine learning, carrying out the following tasks:

  1. Collect, annotate, and process multi-modal facial data with group members
  2. Implement different methods and develop new algorithms for multimodal learning for emotion AI and other applications

Qualification requirements

A successful candidate for the doctoral researcher position must

  • Hold a Master`s degree in computer science, electrical engineering, biomedical engineering, neuroscience, or a related area.
  • Previous experience and publications on computer vision, medical image analysis, machine learning algorithm design, or a related area will be a plus.
  • Good knowledge of spoken and written English is required
  • Strong mathematical and programming skills with C/C++/Matlab/python are respected.
  • Please see also the requirements of the University of Oulu Graduate School (UniOGS)

What we offer

  • We offer you a place in a highly talented research group working to solve globally significant research problems.
  • University´s wide variety of support services is at your disposal, allowing you to focus on your studies and research/work. Read more about working with us!
  • In addition to modern research facilities, we offer you personnel benefits such as free occupational healthcare, affordable sports services, and endless opportunities to develop your skills and competencies. Read more about our benefits!
  • Regular salary is paid 12 months per year, including paid leave and an additional holiday bonus in the summer.
  • The successful candidate will also receive benefits provided by the Finnish government to residents, for example, the possibility to obtain access to the national healthcare system, tax benefits for employees with children, and high-quality, affordable childcare services. Read more about living in Oulu!


The duration of the fixed-term positions is 2 years. The expected starting time for the work is December 2023 or as soon as possible thereafter. A trial period of 6 months is applied for the position.

The salary will be in accordance with the Finnish universities’ salary system (for teaching and research personnel): level 02-04. In addition, a salary component based on personal work performance will be paid (a maximum of 50% of the job-specific component). Starting gross salary will be approx. 2300-2600€ per month.

How to apply

Interested? If yes, please apply by September 11th, 2023 (23:59 Finnish local time) through our recruitment system.

The application should be written in English and include the following:

1) Curriculum vitae (max. 4 pages) in accordance with the guidelines of the Finnish Advisory Board on Research Integrity

2) List of publications based on the guidelines of the Academy of Finland: with ten most important indicated]

3) A research plan, max. 2 pages (better to related to fundus image analysis and retinal disease detection from multimodal dataset for the 1st position, to face analysis and privacy protection for th 2nd position, and to emotional analysis for the 3rd position)

4) Certificates/Diplomas: Scanned copy of the original master’s degree certificate and transcript of records and, when necessary, official translations to Finnish or English

5) Contact information of two senior/experienced researchers who may be asked to give a statement on the candidate

Only applications containing all relevant appendices and submitted through the online recruitment system will be considered. Top candidates will be invited to an on-site or remote interview.

Further information

For further information, please contact

Academy Research Fellow Qing Liu

Center for Machine Vision and Signal Analysis Research

Faculty of Information Technology and Electrical Engineering

Tel: +358 417 922301 Email:

Academy Professor Guoying Zhao

Center for Machine Vision and Signal Analysis Research

Faculty of Information Technology and Electrical Engineering

Tel: +358 505738609 Email:

Type of employment: Temporary position
Contract type: Full time
Number of positions: 3
Full-time equivalent: 100 %
City: Oulu
Country: Finland
Reference number: 2023/286

  1. Qing Liu, 0417922301
  2. Guoying Zhao, 0294487564

Published: 2023-06-14
Last application date: 2023-09-11

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