Scientific employee / Post-Doc bei Technische Universität Dortmund

With 6.500 employees in research, teaching and administration and its unique profile, TU Dortmund University shapes prospects for the

future: the cooperation between engineering and natural science as well as social and cultural studies promotes both technological

innovations and progress in knowledge and methodology, which not only the roughly 33.440 students benefit from.

OUR EXPECTED QUALIFICATIONS: We are looking for an

enthusiastic, self-motivated scientific employee (m/f/d) with

strong interests in simulation and advanced Uncertainty

Quantification (UQ) methods, as well as data-driven techniques. A

PhD degree with a profound background in uncertainty

quantification related to mechanical/ civil/electrical engineering,

computer science or applied mathematics including numerical

simulation techniques is required. A strong track record of

publications in peer-reviewed scientific journals, a proven history

of international experience and scientific awards are considered

as a bonus.

IDEAL ASSETS ARE:

• a PhD degree in a relevant domain (engineering, computer

science, statistics, physics or applied mathematics)

• a solid engineering and/or mathematical background

• self-driven and independent research capabilities

• a natural team-player mindset

• ideally, experience in the field of uncertainty

quantification

• demonstrated excellent skills in written and oral English

• a healthy dose of enthusiasm

At the faculty of Mechanical Engineering, associated with the

Chair for Reliability Engineering of Professor Matthias Faes of the

TU Dortmund University, one scientific employee position (m/f/d)

at the post-doc level is available starting at the earliest possible

date for a period of three years. According to public tariff

regulations, the salary is based on tariff group E13 TV-L.

Employment in or reduction to part-time is possible in principle.

YOUR TASKS: The research project is situated in the quickly

advancing field of “Imprecise Probabilities” and it is aimed at

developing mathematical tools to model spatio-temporal

uncertainties in the form of imprecise stochastic processes. Your

tasks will include performing basic scientific research in the

domain of data-efficient uncertainty modelling with applications

in mechanical engineering, as well as regular presentation of

research results at symposia and conferences. This research is to

be performed in the framework of a funded DFG project.

WE OFFER: The possibility to perform cutting-edge research in

a young scientific domain at the cross-roads of numerical

simulation, applied mathematics, engineering and

computational mechanics, a solid supporting international

network; strong scientific and personal development and

Postdoctoral researcher in Uncertainty Quantification

We promote diversity and equal opportunities. Convince us with
your personality and expertise. Applications from women will be
given preferential treatment in accordance with the statutory
regulations. It is pointed out that the application of suitable
severely disabled persons is desired.

Please send applications with a) letter of motivation, b) curriculum
vitae (including list of publications, if applicable), c) copies of
degree certificates, d) writing sample (master's thesis or seminar
paper) (preferably as a PDF document), quoting the reference
number w101-23, by 2023/12/01 to:

Technische Universität Dortmund
Fakultät Maschinenbau
Lehrstuhl für Zuverlässigkeitstechnik
Prof. Dr. Matthias Faes
Leonhard-Euler-Straße 5
44227 Dortmund
For further information, please do not hesitate to write to
matthias.faes@tu-dortmund.de or phone 0231/ 755-6830.