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About the position
Third-cycle subject: Doctoral program in Applied and Computational Mathematics
We focus on developing optimization algorithms, methods, and fundamental theory, and focus on applications in planning, signal processing, AI, and machine learning (ML). You will work in the project ADAPCOS (Autonomous Underwater Vehicle Data Processing, Communication, and Swarm Optimization in Contested and Denied Undersea Environments) which is a collaboration between KTH, Saab, and Purdue University. We will, for example, work on analyzing and comparing classical optimization-based methods versus AI and ML alternatives. We are particularly interested in analyzing and understanding weaknesses in AI/ML systems and improving their robustness.
A strong interest in mathematical programming (e.g., mixed-integer optimization) is a great advantage. In the project we will develop algorithms, computational methods, and implement these in Python (or a similar programming language) to test and compare methods.
Supervision: Jan Kronqvist and Per Enqvist is proposed to supervise the doctoral student. Decisions are made on admission.
Requirement
To be admitted to postgraduate education (Chapter 7, 39 § Swedish Higher Education Ordinance), the applicant must have basic eligibility in accordance with either of the following:
passed a second cycle degree (for example a master's degree), or
completed course requirements of at least 240 higher education credits, of which at least 60 second-cycle higher education credits, or
acquired, in some other way within or outside the country, substantially equivalent knowledge
In addition to the above, there is also a mandatory requirement for English equivalent to English B/6.
Application date
28.Nov.2024
How to apply
https://www.kth.se/lediga-jobb/767669?l=en
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