A doctoral student in Computer Engineering

Mid Sweden University is looking for a talented and motivated candidate with a strong background in Image Processing, Computer Vison, Optimization, Machine and Deep Learning, and Mathematics, to deploy innovative Visual AI and develop next generation augmented and immersive media for remote presence and operation.

The research for this position will be carried out with the Realistic 3D research group at the STC research centre within a project in close collaboration with international academy and industrial partners. Research will address topics such as six degrees of viewing freedom and super-resolution for 360 video streaming, and integrating 3D scanned objects into augmented reality in a remote operation system. Focus will be on algorithmic development utilizing physics-based machine learning, e.g. algorithm unrolling, and recent deep learning technology, e.g. transformers. 

The subject Computer engineering covers techniques, theories and methodological aspects for the structure, function, and applications of computers, including both hardware and software. The subject Computer engineering for third cycle education (PhD education) at Mid Sweden University consists of three specializations, Communication Networks, Data Analysis and Multidimensional Signal Processing.

Multidimensional Signal Processing covers techniques, theories, and methodological aspects for capturing, modelling, processing, coding, and visualizing signals, especially those that can be interpreted with human perception. Central concepts are interacting signals and systems. Research is focused on Visual AI, which combines knowledge in Optics, Image Processing, Computer Vision, as well as Machine and Deep Learning.

Research on Multidimensional Signal Processing is carried out in the Realistic 3D research group (www.miun.se/realistic3d) within the research centre STC – Sensible Things that Communicate – (www.miun.se/stc) that develops sensor-based systems and services for use within Internet of Things and AI. STC research centre has about 13 professors, 15 senior researchers, and 30 PhD students.

Job description

Independent third-cycle studies encompassing research 80%, teaching and administrative tasks 20%. Third cycle 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, or 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 software 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

Personal qualities required for the position are analytical, systematic, communicative, and ability to work independently and as a part of a team, which are important to be successful with research training. Additional desirable qualities are curiosity, creative thinking, taking own initiatives, and 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 two years of full-time studies and is expected to lead to a Degree of Licentiate. The position can be extended to a Degree of Doctor provided that further funding is obtained. The entry date is 1 September 2024 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.

Place of employment: Sundsvall

Salary: In accordance with Mid Sweden University’s salary scale for doctoral students. 

Information

For more detailed information contact Head of department, Docent Patrik Österberg, Patrik.Osterberg@miun.se, or Head of research group, Prof Mårten Sjöström, Marten.Sjostrom@miun.se.

Application

Application documents must be submitted in English (preferable) or Swedish. 

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.

Please send in your application through our recruitment system no later than 15 August 2024.