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PhD within WASP AI at the Computer Vision Laboratory, Linköping
Linköping University advertises two positions as PhD student in Electrical Engineering with specialization in Computer Vision formally based at the Department of Electrical Engineering. The focus will be on representations learning and you will contribute to research projects within WASP (Wallenberg Artificial Intelligence, Autonomous Systems and Software Program). For further details and applying (deadline Jan 24), see the link below.
PhD student position in Computer Vision and Machine Learning, Göteborg
Location: Computer Vision Group, Chalmers University of Technology
Topic: Geometric Deep Learning
We are interested in widening the scope of Deep Learning, which has proven to be a powerful tool for many problems in artifical intelligence, in particular, the subfields computer vision, natural language processing, and audio analysis. Geometric Deep Learning, that is, going beyond Euclidean data, has been identified as a major
challenge. To apply for the position, follow this link:
Experienced computer vision developer at Visionists
Are you up for a challenge within computer vision and machine learning? Our mission is to create vision technology with a positive impact on our lives and the world we live in. The world of computer vision is changing rapidly and we invite new friends to join Visionists´ journey.
Postdoc in medical image processing and deep learning, Linköping
Detecting and segmenting (small) brain tumours is a difficult task. We are looking for a postdoc to develop new deep learning methods, which will combine several types of 3D/4D data (structural MRI and diffusion MRI) to improve performance. The project is part of the EU-project IMPACT, which involves the Swedish companies Elekta, SyntheticMR and Inovia as well as many Dutch partners.
Senior algorithm developer at Tobii
The algorithms in our eye tracking products consists of a complex combination of computer vision, signal processing and machine learning methods. We are looking for an experienced and driven algorithm developer to join our mission and tackle the challenge of bringing high quality eye tracking to mass market.
Postdoc in deep learning for improved Pathology diagnostics, Linköping University
We are looking for a postdoc to do deep learning research on pathology images to create diagnostic decision support innovations. This position is a key part a new research line in computational pathology at CMIV, a collaboration with the Linköping University Hospital pathology department and the computational pathology research group of Radboud University Medical Center in Nijmegen, The Netherlands. You will work in close collaboration with clinicians, having access to the state-of-the-art infrastructure of CMIV and extensive deep learning expertise of the Nijmegen group. https://liu.se/en/work-at-liu/
Medical image processing post doc at Lund Cardiac MR Group, Lund University
The Lund Cardiac MR Group at Lund University in Sweden is seeking several Post-Doctoral Researchers for a period of 1-2 years. At least one of the post-doc positions will be focused on medical image processing. The research group consists of approximately 30 individuals, mixed between medical doctors and engineers. Fluent English speaking is required for all positions, since group meetings are held in English. In addition to research, the group has a specific focus on personal and professional development with accredited staff.Image analysis research is focused on analysis methods for large study cohorts (1 000-30 000 subjects). Study cohorts on both CT, MR, and SPECT images are already collected and in place. You will work in close proximity and together with clinicians and develop automated tools for image segmentation and shape analysis. Requirements are a PhD in Electrical / Biomedical Engineering, or related major with experience in medical image analysis. Experience and/or interest in machine learning tools are desirable as there are lots of hand-drawn training data available in the project. For more information, email Einar.Heiberg@med.lu.se.
Computer Vision and Deep Learning positions at SICK Linköping
SICK is one of the largest manufacturers of sensors for automation and autonomous systems. At SICK Linköping we focus on the area ‘Machine Vision’ with development of software and algorithms for embedded cameras and 3D-imaging sensors. We are doing well and now we are seeking reinforcement in the areas of Deep Learning and Machine Vision algorithms. Our algorithm team consists of both junior and senior experts with research background. We do fundamental development in close collaboration with universities and integrated implementations on our embedded systems. Keywords include image processing, machine learning, object recognition, 3D-reconstruction, robotics, structure-from-motion, stereo, time-of-flight, FPGA, GPU, SLAM, camera calibration, sensor fusion and tracking. To learn more about the positions and how to apply, see the following link:
Computer Vision and Deep Learning developers