Postdoctoral Position in Automatic Control Focusing on System Identification and Statistical Learning
Postdoctoral Position in Automatic Control Focusing on System Identification and Statistical Learning
Uppsala University
Uppsala, Sweden
Project description
In this project, the selected candidate will join us in conducting research in statistical learning and system identification research, developing data-driven methods to learn signals and systems from data. There will be a focus on developing robust methods with mathematical guarantees, focusing on stability, statistical and optimization considerations. We will work in applications to cardiology and electrophysiology. The exact details of the research project are decided in a dialogue between the postdoctoral researcher and the supervisor.
Duties
A Postdoctoral Fellow will devote most of their time to research. There is the possibility of participating in teaching (up to 20%).
Requirements
PhD degree in Computer Science, Automatic control, Machine learning, Signal processing, Electrical Engineering, Applied Math or equivalent or a foreign degree equivalent to a PhD degree in Computer Science, Automatic control, Machine learning, Signal processing, Electrical Engineering, Applied Math or equivalent. The degree needs to be obtained by the time of the decision of employment. Those who have obtained a PhD degree three years prior to the application deadline are primarily considered for the employment. The starting point of the three-year frame period is the application deadline. Due to special circumstances, the degree may have been obtained earlier. The three-year period can be extended due to circumstances such as sick leave, parental leave, duties in labour unions, etc.
The applicant must have a strong background in method development. Experience in one or more subjects are valued: signal processing, estimation theory, automatic control, dynamical systems, system identification, statistical machine learning, optimization, linear algebra, and deep learning.
- It is a strong plus to have publications at:
- leading journals in control and signal processing; and/or,
- top conferences in machine learning.
- The ability to work in health applications (and to publish in medical or interdisciplinary journals) is a plus;
- High proficiency in programming is required (preferably in Python);
- You are expected to be able to teach in English. Excellent knowledge of oral and written English is a requirement.
Additional qualifications
As a person, you are creative, thorough and have a structured approach. When selecting among the applicants we will assess their ability to independently drive their work forward, to collaborate with others, to have a professional approach and to analyze and work with complex problems. Great emphasis will be placed on personal characteristics and personal suitability.
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