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Application Deadline 21 Nov 2025 - 12:00 (UTC) Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to
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11 Nov 2025 Job Information Organisation/Company Delft University of Technology (TU Delft) Research Field Mathematics » Geometry Mathematics » Mathematical analysis Physics » Quantum mechanics
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Application Deadline 5 Dec 2025 - 00:00 (UTC) Type of Contract Permanent Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to
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, Financial Mathematics, Computational Mathematics, Mathematical Physics, and Analysis. The department offers Bachelor, Master and PhD degree programs. The Bachelor degree program has two streams: Applied
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probability, combinatorial optimisation, discrete geometry, and computational combinatorics. The main supervisor for this project will be Dr. Maryam Sharifzadeh, and the successful applicant will also have
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300 PhD and EngD students, about 1,500 Bachelor students and 1,000 Master students, the Department of Mathematics and Computer Science (M&CS) is the largest department of the TU/e. By performing top
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degree or international equivalent in a subject relevant to the proposed PhD project (inc. computing, mathematics, engineering etc.). Enthusiasm for research, the ability to think and work independently
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collaborate with us on ambitious formalisation projects. An ideal candidate: holds a PhD degree in computer science, or a PhD degree in mathematics, or equivalent; has a research track record at a high
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teaching and student supervision. MAT currently has 17 faculty members and more than 60 PhD students, their research areas cover Probability and Statistics, Financial Mathematics, Computational Mathematics
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Assistant Professor (tenure-track) and Associate Professor (tenured) Positions in Computer Scienc...
and Computer Science (IMADA), and other research sections at the department are Algorithms Computational Science Data Science and Statistics Geometry, Topology and Algebra Learning Experience Design Our