[Job-offers-cs] Several PhD/Postdoc Positions in Research Training Group "Mathematics of Interdisciplinary Multiobjective Optimization"

[Pekka Orponen]

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Several positions in the DFG Research Training Group
“Mathematics of Interdisciplinary Multiobjective Optimization”

The Research Training Group ”Mathematics of Interdisciplinary
Multiobjective Optimization”, funded by the German Research Foundation (DFG)
and hosted by the RPTU in Kaiserslautern, offers ten doctoral positions and
one postdoc position starting in January 2025.
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About us:

We are an interdisciplinary group of mathematicians, computer scientists,
and engineers working together on challenging projects, all dealing with 
optimization problems that have multiple objectives. Our collective 
expertise spans linear, discrete, and combinatorial optimization, 
nonlinear optimization, robust optimization, operations research, 
scheduling, game theory, scientific computing, engineering 
thermodynamics, and microelectronic systems design. Read more about the 
project at https://math.rptu.de/mimo
We offer:

We offer an excellent research environment at the RPTU in Kaiserslautern 
with close links to the Fraunhofer Institute for Industrial Mathematics 
(ITWM). Within the Research Training Group, we provide a comprehensive 
qualification and research program, including seminars, courses and 
workshops, and a visitor’s program. Experience with innovative methods, 
networking, and publishing will be gained. Although working in an 
interdisciplinary environment, doctoral students still pursue the 
doctoral degree in their respective departments (i.e., mathematics, 
computer science, mechanical and process engineering, or electrical and 
computer engineering). Further information is available at 
https://math.rptu.de/mimo
The positions are paid according to TV-L E13 (100%) and limited to three 
and a half to four years. The RPTU in Kaiserslautern strives to raise 
the proportion of women in its workforce and explicitly encourages 
applications from qualified women. Applications from disabled persons 
with essentially the same qualifications will be given preference.

Your qualifications:

Applicants should have a strong background in mathematical programming, 
optimization, and mathematical modeling as well as an extensive 
knowledge in the design and analysis of algorithms which is reflected in 
an excellent Master's degree (or equivalent) in mathematics, computer 
science, engineering, or related subjects. The prerequisite for 
employment is a successfully completed university degree in one of these 
subjects. Since this Research Training Group is interdisciplinary, 
applicants with different profiles can apply for the various positions 
to be filled. Very good written and verbal communication skills in 
English or in German are required. We also expect successful candidates 
to be active team players in the Research Training Group.
Application process:
Applications should include:

* Letter of motivation in which up to three of the projects of the 
Research Training Group are prioritized, see https://math.rptu.de/mimo>* CV,
* Copies of degree certificates with full academic transcripts

and be submitted in digital form (one pdf document) to Prof. Dr. Stefan 
Ruzika, stefan.ruzika at math.rptu.de
by October 15, 2024. Alternatively, applications can be sent by mail to
Rheinland-Pfälzische Technische Universität Kaiserslautern-Landau
Prof. Dr. Stefan Ruzika
Paul-Ehrlich-Straße 14
67663 Kaiserslautern

In this case, we request to submit only copies of official documents, as 
we cannot return materials after completion of the application process.
The RPTU Kaiserslautern-Landau (RPTU) is the technical university of the 
federal state of Rhineland-Palatinate with over 20,000 students, more 
than 300 professors and around 160 degree programmes. As a place of 
top-level international research, it offers excellent working conditions 
and career opportunities. Those who study, research or work at RPTU 
experience a welcoming and globally-oriented environment and shape the 
future.RPTU stands for the diversity of all employees. We welcome 
applications from all interested parties, regardless of their ethnic and 
social background, age, religion, gender, disability, sexual orientation 
or identity. Severely disabled persons and persons with equivalent 
status are given preference if they are suitably qualified and suitable. 
RPTU strives to increase the proportion of women in areas in which women 
are underrepresented.