Linköping University advertises at least one tenure track position as Research Fellow/Assistant Professor in Machine Learning, based at the Faculty of Science and Engineering.
Description of the subject area
The Wallenberg AI, Autonomous Systems and Software Program (WASP) is Sweden’s largest individual research program ever; a major national initiative for strategically motivated basic research, education and faculty recruitment. WASP comprises five Swedish full partner universities and a substantial part of Swedish industry and commerce. The WASP initiative includes among many instruments an international recruitment program and the present announcement aims to strengthen Linköping University specifically in the field of machine learning within the AI focus-area of WASP. Specifically, the goal is to complement the existing excellence in areas of Artificial Intelligence and Integrated Computer Systems (Fredrik Heintz), Automatic Control (Martin Enqvist), Computer Vision (Michael Felsberg), Visualization and Data Sciences (Anders Ynnerman), and Statistics and Machine Learning (Fredrik Lindsten).
For this purpose, we seek competence in Machine Learning with focus particularly on methods, algorithms, and mathematical analysis relevant to one or several of the research areas above. The developed methods and mathematical tools will aim at a better understanding of the theories and processes within statistical and deep learning-based systems.
Possible research topics should match one or more of WASP focus areas 1) Representation learning and grounding, 2) Sequential decision-making and reinforcement learning, 3) Learning from small data sets, GANs and incremental learning, and 4) Multi-task and transfer learning. Examples for such topics are, but are not limited to, causal learning and inference, handling of uncertain input data, propagation of confidences, detection of anomalies, few-shot and model-agnostic learning, robustness to polluted training data, enforcement of hard constraints, visualization and explainability of complex networks, and explorative data acquisition in shifting domains. The research fellow will also explore application areas of this research, e.g., within forestry and agriculture technology, safety critical systems, decision support systems, diagnostics in health care, traffic planning and synthetic environments for training autonomous driving.
A successful candidate will be affiliated with the Computer Vision Laboratory (CVL) or Division of Automatic Control (RT) at the Department of Electrical Engineering, with the Division of Artificial Intelligence and Integrated Computer Systems (AIICS) or Division of Statistics and Machine Learning (STIMA) at the Department of Computer & Information Science, or with the Media and Information Technology (MIT) Division at the Department of Science and Technology.
The successful candidate will primarily be engaged in research and PhD mentoring. Assuming a separate decision from WASP the position comes with financing for own salary and expenses for the full duration of the employment, plus salary and expenses for two postdocs (2 years each) and for two PhD students (4 years each). The holder of the position is expected to build a new research group and engage in WASP’s graduate school, WASP national meetings and other activities. The holder of the position is also expected to actively engage in applying for external research funding. The duties include also approximately 20 percent teaching.