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Postdoc, on the subject of Learning-Augmented Algorithms/Mechanism Design
3 weken geleden
Job description
Optimization for and with Machine Learning (OPTIMAL) is a Dutch research project funded by NWO (2020-2025). It is a collaboration between researchers from the University of Amsterdam, CWI, Tilburg University, and Technical University Delft.
We are looking for a talented postdoc who is interested in pursuing fundamental research in learning-augmented algorithms and/or mechanism design. The primary focus will be on the development of new algorithms that exploit (machine-learning) predictions to obtain improved and more fine-grained performance guarantees (approximation ratio, efficiency guarantee, etc.).
Requirements
Candidates are required to have completed their PhD in discrete mathematics or theoretical computer science, with a strong background in combinatorial optimization, theory of algorithms, and/or algorithmic game theory. Ideally, the candidate has worked already on algorithms beyond the worst case.
Needed qualifications for candidates include proven research talent, strong theoretical background, and good academic writing and presentation skills. Candidates are expected to have an excellent command of English.
Terms and conditions
The terms of employment are in accordance with the Dutch Collective Labour Agreement for Research Centres ("CAO-onderzoeksinstellingen"). The gross monthly salary for an employee on a full time basis, depending on relevant work experience, ranges from € 4.218 to € 5.141. The appointment will be for a period of two years.
Employees are also entitled to a holiday allowance of 8% of the gross annual salary and a year-end bonus of 8.33%. CWI offers attractive working conditions, including flexible scheduling.
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