Postdoc Position in Computer Engineering (Visual AI)
Postdoc Position in Computer Engineering (Visual AI)
Mid Sweden University
Sundsvall, Sweden
Job description
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. Computer engineering 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.
Requirement
To be eligible for a post-doctoral appointment, your qualifications must match the requirements described in Mid Sweden University’s employment procedures.
The candidate must hold a PhD degree, or equivalent, in Computer Science, Computer Engineering, Electrical Engineering, Applied Physics, or Mathematics, or equivalent knowledge. The PhD degree must have been completed no longer than three years prior to the closing date of the application.
Assessment
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.
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