Doctoral Position in Machine Vision and Signal Analysis

University of Oulu

The North changes the world – more sustainable, more intelligent, more humane. We, at the University of Oulu, work as part of the international science community to produce new scientific information and science-based solutions. We are committed to educate future pioneers to build a more sustainable, intelligent and humane world. Creating new, taking responsibility and succeeding together are values that build a strong foundation for all our actions. We offer a working environment where individuals can cultivate their skills, do meaningful work, and develop professionally. Our university's several specialized research and service units enable extensive and diverse development and career opportunities for experts in various fields.

Related to this position, University of Oulu possesses strong expertise in artificial intelligence, wireless communications engineering, medicine, Humanities, and business, and close cooperation with various research institutes and companies, which has created an internationally significant research and innovation hub that is changing the world and securing our well-being.

Applications are invited for a Doctoral Student position to join a research project headed by Professor Guoying Zhao in the Center for Machine Vision and Signal Analysis Research Unit (CMVS, http://www.oulu.fi/cmvs), to work on 1) Spontaneous facial expression analysis, or 2) Remote physiological signal measure from video analysis, or 3) Multi-modal learning. The duration of the position is one year and the expected starting time for the work is September 2021 or as soon as possible thereafter. A six-month trial period is applied in the position.

Subject field and description of the position

Successful applicant would work in the field of computer vision and machine learning, carrying out the following tasks: 1) study the courses related to the subject field; 2) develop new algorithms and program to implement different methods, for solving problems in face analysis or general neural network learning (depending on what project the candidate would participate); 3) analyze the experimental results, be able to find out the problems and adjust to new solutions; 4) collaborate with other team members working in the same projects or same subject; 5) write research papers and technical reports.

About CMVS

CMVS (http://www.oulu.fi/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, 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.

Required qualifications and assessment

A successful candidate for the Doctoral Student position must hold a Master`s degree in computer science or electrical engineering with previous experience and publications on computer vision or a related area. Also, good knowledge of spoken and written English is required and strong mathematical and programming skills with C/C++/Matlab/python are respected.

Salary and benefits

  • The salary of the appointed Doctoral Studentwill be based on demand level 2-4 of the salary chart of teaching and research staff of Finnish universities. In addition, a salary component based on personal work performance will be paid (maximum of 50% of the job-specific component). The typical starting salary for a Doctoral Student is 2450-2850 € / month (before taxes), depending on qualifications, performance and experience.
  • You will become a part of a highly talented research group, working on strategically and globally significant research area.
  • You will receive support not only from your team and supervisor, but also from university´s wide variety of support services, so that you can excel in your research.
  • In addition to modern research facilities, we offer you personnel benefits such as affordable sport services and salary payments for 12 months / year.
  • The employed person will be insured by the university and provided occupational healthcare. Finland is known as a country with a high quality of life and good healthcare system.

Application procedure

Applications, together with all relevant enclosures, must be submitted using the electronic application form by April 15, 2021 at 23:59 (Finnish local time).

The following documents must be attached to the application (to be submitted in English):

  1. Curriculum vitae formatted according to the template of the Finnish Advisory Board on Research Integrity (http://www.tenk.fi/en/template-researchers-curriculum-vitae)
  2. Motivation letter – briefly (max. 2 pages) state your motivation and your research expertise and background
  3. Contact information of two to three (2-3) persons, who may be asked to give a statement on the candidate
  4. Scanned copies of your degree certificates and transcript of records

For further information, please contact

Professor Guoying Zhao

Center for Machine Vision and Signal Analysis Research

Faculty of Information Technology and Electrical Engineering

Tel: +358 294 487564

Email: guoying.zhao@oulu.fi