A doctoral (PhD) student in Computer Engineering

Description of the department
Mid Sweden University (MIUN, Sweden) in collaboration with Tampere University (TAU, Finland) is looking for a talented and motivated candidate with a strong background in Image Processing, Computer Vison, Optimization, Machine and Deep Learning, and Applied Mathematics, to deploy innovative Visual AI and develop next generation imaging technology for sensing, processing, and rendering of images. 

The doctoral position is part of the international research school IRS TransTech, where you will have the opportunity to collaborate with leading international universities and Swedish companies. The research school focuses on transformative technologies such as AI, IoT, and advanced materials, with the goal of driving sustainable industrial development and strengthening international research and business networks.

The research for this position will be carried out in collaboration between the Realistic 3D research group at the STC research centre , Mid Sweden University (www.miun.se/realistic3d) and the 3D Media research group at Tampere University (https://research.tuni.fi/3dmedia). The research will investigate and design neural architectures that are both adequate and generalizable for solving imaging problems. The goal is to improve image quality and increase computational efficiency. This will be achieved by incorporating domain knowledge of modality-specific image formation into neural architectures, especially under challenging conditions. This doctoral position will lead to a double PhD degree from the two universities.

Multidimensional Signal Processing is a branch of Computer Engineering that encompasses theories, methodologies, and techniques for capturing, modelling, processing, coding, and visualizing signals, particularly those interpretable by human perception models. Central concepts include interacting signals and systems. Research focuses on Visual AI, which integrates knowledge from Optics, Image Processing, Computer Vision, and Machine and Deep Learning. 

Job description
Independent third-cycle studies encompassing research 100%. Third cycle education (PhD education) consists of both course work and research.

Entry requirements
General entry requirements include a second-cycle level qualification, or fulfilment of courses comprising at least 240 credits of which at least 60 credits must be at second-cycle level, or the equivalent knowledge gained in some other way in Sweden or abroad. Specific entry requirements include at least 90 credits in the subject of Computer Science, Computer Engineering, Electrical Engineering, Applied Physics, Applied Mathematics, or the equivalent knowledge gained in some other way in Sweden or abroad. 

Assessment criteria
The candidate is expected to have demonstrated expertise in Image Processing, Computer/Machine Vision, Machine and Deep Learning, and Optimization algorithms; very good mathematical knowledge and skills; very good skills in programming and implementation of machine and deep learning, using e.g. Python / PyTorch / Tensorflow etc.; and excellent written and verbal communication skills in English.

Previous experience of the following topics is meritorious: immersive media such as augmented reality (AR) or virtual reality (VR), inverse problems and related algorithms, and high-performance computing and parallel processing on GPUs.

Personal qualities
The personal qualities required for the position include being analytical, systematic, communicative, as well as having the ability to work independently and as part of a team. These qualities are important for success in research training. Additional desirable qualities are curiosity, creative thinking, taking initiative, and being goal-oriented.

Other assessment criteria 
Other assessment criteria include published scientific articles, larger software projects, and other activities relevant for the position. 

Employment process
Processing of the appointment will comply with the provisions in Chapter 5 of the Higher Education Ordinance, and will be carried out in accordance with Mid Sweden University’s Employment Procedures. 

Terms of employment
The doctoral studentship position corresponds to four years of full-time studies and is expected to lead to a Doctoral Degree. The entry date is 1 September 2025 or as agreed.

Initial doctoral student positions are valid for a maximum of one year, after which the position may be renewed by no longer than two years at a time. Provisions regarding doctoral studentship employment can be found in the Higher Education Ordinance (1993:100), Chapter 5, Sections 1-7. 

Employment benefits include parental allowance supplement, fitness program, healthcare and medicinal products, occupational pension, insurance and 28-35 vacation days per year. 

Place of employment: Sundsvall, Sweden (Year 1-2), Tampere, Finland (Year 3-4)

Salary: In accordance with Mid Sweden University’s salary scale for doctoral students: starting at 32 700 SEK (before taxes), increasing with progression in the studies.  

Information
For more detailed information contact Head of department, Docent Patrik Österberg, Patrik.Osterberg@miun.se, or Head of research groups, Prof Mårten Sjöström, Marten.Sjostrom@miun.se, Prof Atanas Gotchev, Atanas.Gotchev@tuni.fi. 

Application
Documents to be appended to the application:

• letter of motivation (max. 1 page)
• verified curriculum vitae, including a list of publications
• copies of official transcripts and degree certificates (MSc+BSc), and their English translations (Swedish certificates are accepted), and Diploma Supplement
• link to MSc thesis
• contact details of two referees
• other documents the applicant would like to refer to.

Application documents must be submitted in Swedish or English. For this recruitment we would strongly encourage application documents to be submitted in English.

Please send in your application through our recruitment system no later than 17-04-2025.