Ph.D. Student in Random Processes and Algorithms..
The research group uses methods from mathematics and computer science to approach a range of algorithmic areas including artificial intelligence, network theory and random processes / structures. We are currently seeking to strengthen our focus within the area of probabilistic analysis of randomized optimization algorithms, such as evolutionary algorithms and other nature inspired heuristics.
As part of the privately funded Faculty of Digital Engineering of the University of Potsdam, we engage both in teaching of outstanding and highly selected students as well as in internationally renowned research. The group and the institute is located at the beautiful Campus Griebnitzsee, at the border to Berlin, offering a vibrant scientific environment.
What we offer:
• Inspiring research environment;
• Close collaboration with other scientists;
• Generous travel allowance and latest computing facilities;
• Modern work space in Potsdam-Babelsberg;
• Integration into an international group of researchers;
• Exceptional students to work with.
What we expect:
• An excellent degree in Computer Science, Mathematics or a related discipline;
• Some course or other experience with probability theory;
• Enthusiasm for mathematical problems and scientific work;
• Enjoying teamwork and collaboration;
• A desire to obtain a PhD within 3-4 years.
Application process:
• All applications should include a detailed CV, a copy of the Master thesis and a list of courses and grades.
• Please also mention names and contact details of one or two references -- preferably one from your thesis adviser.
• The starting date and particular research topic is flexible.
• Interested candidates should direct their questions to friedrich@hpi.de.
• Applications must be sent via email, preferably as a single PDF, to jobs-friedrich@hpi.de by October 31, 2020.
• Promising PhD-student applicants will be asked to work out a small algorithmic open-book test within a 24 hour time window (chosen by themselves).
• All promising applicants will be interviewed (either via video call or on site) and at the same time get the chance to direct further questions to the chair.
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