PhD student in machine learning with a focus on visualization
Back to available jobsWe are now looking for a PhD student in machine learning with a focus on visualization, placed at the Division for Media and Information Technology at the Department of Science and Technology, Campus Norrköping.
The position is part of the Wallenberg AI, Autonomous Systems and Software Program (WASP). You will take part in the WASP curriculum and benefit from its extensive network of other PhD students and senior researchers.
WASP is Sweden’s largest individual research program ever, a major national initiative for strategically motivated basic research, education and faculty recruitment. The program addresses research on artificial intelligence and autonomous systems acting in collaboration with humans, adapting to their environment through sensors, information and knowledge, and forming intelligent systems-of-systems. The vision of WASP is excellent research and competence in artificial intelligence, autonomous systems and software for the benefit of Swedish industry. For more information, please see: https://wasp-sweden.org/
We have the power of over 40,000 students and co-workers. Students who provide hope for the future. Co-workers who contribute to Linköping University meeting the challenges of the day. Our fundamental values rest on credibility, trust and security. By having the courage to think freely and innovate, our actions together, large and small, contribute to a better world. We look forward to receiving your application!
Your work assignments
The research area for the advertised position lies in the intersection of machine learning, deep learning, and visualization. The goal is to develop tools and strategies for visual assessment of artificial neural networks, both in terms of their parametrization and predicted output. A certain focus will also be on understanding deep representation learning through visualization. The aim is not only to improve the understanding of the inner workings of neural networks and their predictions, but also to aid in the development of novel methods for, e.g., representation learning and generative deep learning. Different application areas will be considered, such as generative deep learning, computer graphics, and medical imaging.
As a PhD student, you devote most of your time to doctoral studies and the research projects of which you are part. Your work may also include teaching or other departmental duties, up to a maximum of 20% of full-time.
Your qualifications
You have graduated at Master’s level in Computer Science, Electrical Engineering, Applied Mathematics, or a related field, or completed courses with a minimum of 240 credits, at least 60 of which must be in advanced courses (in the before mentioned areas). Alternatively, you have gained essentially corresponding knowledge in another way.
You should also have good communication skills, excellent study results, and sufficient knowledge of oral and written English. You should have documented experience of machine learning, and specifically deep learning. Experience in visualization, representation learning, generative deep learning, and computer vision is particularly meritorious. The project involves both theoretical and applied work.
Great emphasis will be placed on personal qualities and suitability.
Your workplace
You will work in the Division for Media and Information Technology at the Department of Science and Technology at Campus Norrköping. The division researches and conducts education in areas such as computer graphics, image analysis, scientific visualization, and machine learning, at undergraduate, advanced, and postgraduate levels.
Our research group consists of more than 20 PhD students, senior researchers, and research engineers. We conduct research projects in areas spanning from deep learning and medical imaging, to computer graphics and computational photography.
The employment
When taking up the post, you will be admitted to the program for doctoral studies. More information about the doctoral studies at each faculty is available at Doctoral studies at Linköping University
The employment has a duration of four years’ full-time equivalent. You will initially be employed for a period of one year. The employment will subsequently be renewed for periods of maximum duration two years, depending on your progress through the study plan. The employment may be extended up to a maximum of five years, based on the amount of teaching and departmental duties you have carried out. Further extensions can be granted in special circumstances.
Starting date by agreement.
Salary and employment benefits
The salary of PhD students is determined according to a locally negotiated salary progression.
More information about employment benefits at Linköping University is available here.
Union representatives
Information about union representatives, see Help for applicants.
Application procedure
Apply for the position by clicking the “Apply” button below. Your application must reach Linköping University no later than January 7, 2025.
Applications and documents received after the date above will not be considered.
We look forward to receiving your application!
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