Technical University Munich
for 3 years, 100%, m/w/d, starting April 1, 2022.
A PhD position is available in the new group of Professor Andreas Wiese
at the Department of Mathematics, Technical University of Munich which
will be established in spring 2022. The group's research focus will be
combinatorial optimization, approximation algorithms, and dynamic
algorithms.
The successful candidate will have the opportunity to work within a
young and interdisciplinary team located at the Garching Campus of the
TU Munich, with the opportunity to pursue a doctoral degree whilst
collaborating with other members of the group, as well as external
collaborators. The position is a full-time position for 3 years, with
the possibility of extension, paid according to the Federal German
payment scale TV-L 13 (100% position). The actual salary depends on
academic experience, family situation, tax classification, etc. Travel
support for attending conferences, workshops, and summer schools is of
course available.
The ideal candidate holds an excellent master's degree in mathematics,
theoretical computer science or a related area. Publications are an
advantage. Solid English skills, both oral and in writing, are expected.
In addition, the successful candidate is highly self-motivated and has a
good ability to work both independently as well as in a team. Her/his
activities will include conducting research with other group members and
external collaborators, teaching, and participating in other activities
of the group. Proficiency in German is not required.
We explicitly encourage applications from women as well as from all
others who would bring additional diversity dimensions to the
university's research and teaching strategies. Preference will be given
to candidates with disabilities who have essentially the same
qualifications.
If you have any questions about the position, please feel free to
contact Andreas Wiese: a.wiese@vu.nl
Applications:
Please send your application with the subject line "PhD Algorithms" as a
single PDF document to Angelika Hass: hass@ma.tum.de
Your application should include
- a detailed CV, including previous teaching experience and
publications, if any
- a 1-2 page research statement describing research interests and goals
- a list of previously taken courses and grades
- summary of master thesis (not more than one page)
- names and email addresses of 2-3 academic references
Applications will be reviewed starting from December 8, 2021, until the
position is filled.
Data protection: As part of your application, you provide personal data
to the Technical University of Munich (TUM). Please view our privacy
policy on collecting and processing personal data in the course of the
application process pursuant to Art. 13 of the General Data Protection
Regulation of the European Union (GDPR) at
https://portal.mytum.de/kompass/datenschutz/Bewerbung/. By submitting
your application, you confirm to have read and understood the data
protection information provided by TUM.
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