The researcher will be expected to carry out scientific research consistent with the topics of the Scientific Disciplinary Sector (S.S.D.) in the field of Operations Research. A strong scientific background in numerical optimization is required, including non-smooth and non-convex optimization, as well as splitting methods, and their application to automatic control and machine learning.
Preference will be given to candidates who demonstrate an aptitude for collaborating with other areas of the
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📌 Assistant Professor: Optimization for ML & Control (Roma)
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📍 Roma
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