项目介绍
Position of a PhD Candidate (100%) in Algorithms. The position is hosted in the Department of Computer Science, School CIT.
The Department of Computer Science, Technical University of Munich, has a vacancy for a PhD candidate/researcher position in the area of efficient algorithms. The position is hosted at the Chair of Algorithms and Complexity, headed by Prof. Susanne Albers (http://wwwalbers.in.tum.de/index.html.en). The dissertation work will involve research in the fields of approximation and online algorithms, algorithmic game theory, or algorithm engineering.
The position is paid according to the German public salary scale TVL-13 and provides a competitive salary with standard benefits. The initial appointment is for a period of two years and can be renewed for another two years.
The successful candidate should have a Master’s degree in computer science or mathematics. Since the position involves teaching obligations, excellent proficiency in German is required. The application material should include (1) a cover letter describing the interest in the position, (2) a CV, (3) transcripts, and (4) a copy of the Master’s thesis.
The material should be sent electronically to albers@in.tum.de.
Applications will be reviewed on a rolling basis starting January 6, 2025.
The position is suitable for disabled persons. Disabled applicants will be given preference in case of generally equivalent suitability, aptitude and professional performance.
Data Protection Information:
When you apply for a position with the Technical University of Munich (TUM), you are submitting personal information. With regard to personal information, please take note of the Datenschutzhinweise gemäß Art. 13 Datenschutz-Grundverordnung (DSGVO) zur Erhebung und Verarbeitung von personenbezogenen Daten im Rahmen Ihrer Bewerbung. (data protection information on collecting and processing personal data contained in your application in accordance with Art. 13 of the General Data Protection Regulation (GDPR)). By submitting your application, you confirm that you have acknowledged the above data protection information of TUM.
Kontakt: albers@in.tum.de
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