Research Associate - Dresden, Deutschland - Technische Universität Dresden

Technische Universität Dresden

Geprüftes Unternehmen

Dresden, Deutschland

vor 2 Wochen

Geschrieben von:

Lena Wagner

beBee Recruiter

Beschreibung

TUD Dresden University of Technology, as a University of Excellence, is one of the leading and most
dynamic research institutions in the country. Founded in 1828, today it is a globally oriented,
regionally anchored top university as it focuses on the grand challenges of the 21st century. It
develops innovative solutions for the world's most pressing issues. In research and academic
programs, the university unites the natural and engineering sciences with the humanities, social
sciences and medicine. This wide range of disciplines is a special feature, facilitating interdisciplinarity
and transfer of science to society. As a modern employer, it offers attractive working conditions to all
employees in teaching, research, technology and administration. The goal is to promote and develop
their individual abilities while empowering everyone to reach their full potential. TUD embodies a
university culture that is characterized by cosmopolitanism, mutual appreciation, thriving innovation
and active participation. For TUD diversity is an essential feature and a quality criterion of an excellent
university. Accordingly, we welcome all applicants who would like to commit themselves, their
achievements and productivity to the success of the whole institution.

At the
Faculty of Chemistry and Food Chemistry, the
Chair of Theoretical Chemistry offers a
position as

Research Associate / Postdoc (M/F/x)***starting
January 1, 2024 with flexibility for an earlier or later start. The position is limited to 1 year.
The period of employment is governed by the Fixed Term Research Contracts Act
(Wissenschaftszeitvertragsgesetz - WissZeitVG) and offers the chance to obtain further academic
qualification.

The position is available in the research group of Dr. Dorothea Golze at TUD. The goal of the Golze
group is to develop highly accurate theoretical methods for core
- and valence level spectroscopy of
complex materials.

Tasks:
In your position, you will develop and implement GW Green's function methods for the new
generation of (pre-)exascale high-performance computing (HPC) architectures. More specifically, you
will develop low-scaling GW algorithms and implement them for massively parallel execution, taking
also GPU acceleration into account. The development will proceed in collaboration with the Novel
Materials Discovery (NOMAD) team. Collaborations are also planned within the Collaborative
Research Center 1415 (Chemistry of synthetic 2D materials) at TUD. In particular, you will collaborate
with the group of Prof. Thomas Heine and Prof. Xinliang Feng.

Requirements:
university and PhD degree in omputational physics / chemistry / material science. We
structure methods, in particular using codes with localized basis sets. Solid programming skills and
experience in parallelizing code on CPU and GPU HPC architectures are expected. Good team working
skills and ability to collaborate with other researchers on community codes are advantageous.
Experience in theoretical spectroscopy methods, such as GW and GW+BSE, as well as resolution-of
- the-identity methods are a plus.

What we offer:

- work in international, interdisciplinary and collaborative environment,- broad qualification program and career support by the Graduate Academy of TU Dresden,
- training courses and participation in hackathons at supercomputing centers.

TUD strives to employ more women in academia and research. We therefore expressly encourage
women to apply. The University is a certified family-friendly university and offers a Dual Career

equally qualified, those with disabilities or with equivalent status pursuant to the German Social Code
IX (SGB IX) will receive priority for employment.

and research interests and contact information of two references by
August 28, 2023 (stamped arrival

Lebensmittelchemie, Professur für Theoretische Chemie, z. Hd. Frau Dr. Dorothea Golze,
be returned to you. Expenses incurred in attending (online) interviews cannot be reimbursed.

Reference to data protection:
Your data protection rights, the purpose for which your data will be processed,