Research Associate, Computer Science
Technische Universität Dresden (TUD), 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. lt 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 Computer Science, Institute of Artificial Intelligence, the Chair of Scientific Computing for Systems Biology, the 6G-life Research-Hub „Digital transformation and sovereignty of future communication networks” offers two positions as
Research Associate (m/f/x)
(subject to personal qualification employees are remunerated according to salary group E 13 TV-L)
starting as soon as possible. The positions are initially limited until August 14, 2025. The period of employment is governed by the Fixed Term Research Contracts Act (Wissenschaftszeitvertragsgesetz – WissZeitVG). The position offers the chance to obtain further academic qualification (e.g. PhD / habilitation thesis).
Tasks: scientific research in one or several of the following topics:
- data-driven modeling and/or bio-mimetic design of molecular communication networks;
- analysis of known and novel molecular communication networks in systems biology using computer simulation;
- analysis of the noise characteristics and the complexity of molecular communication pathways in living cells;
- equation-free forecasting of network behavior using machine learning;
- inference of mathematical models from measurement data such as microscopy images and/or mass spectrometry data;
- design centering for robust systems identification of stochastic reaction networks.
Requirements: university degree (Diplom/Master) in Computer Science, (Applied) Mathematics, or related area; outstanding English language skills both oral and written (the working language at the institute is English); experience (ideally completed PhD) in data-driven modeling of complex systems and/or computer simulation of chemical signaling networks; outstanding programming skills preferably in C++ and Python; experience in interdisciplinary research ideally between computer science and biology; basic knowledge of molecular biology and physical chemistry.
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 Service. We welcome applications from candidates with disabilities. If multiple candidates prove to be equally qualified, those with disabilities or with equivalent status pursuant to the German Social Code IX (SGB IX) will receive priority for employment.
More details about the 6G-life Research-Hub are given under www.6g-life.de.
Please submit your application documents until November 1, 2022 (stamped arrival date of the university central mail service applies), preferably via the TU Dresden SecureMail Portal https://securemail.tu-dresden.de by sending it as a single pdf document to email@example.com or to: TU Dresden, Fakultät Informatik, Institut für Künstliche Intelligenz, Professur für Wissenschaftliches Rechnen für Systembiologie, Herrn Prof. Dr. Ivo Sbalzarini, Helmholtzstr. 10, 01069 Dresden. Please submit copies only, as your application will not be returned to you. Expenses incurred in attending interviews cannot be reimbursed.
Reference to data protection: Your data protection rights, the purpose for which your data will be processed, as well as further information about data protection is available to you on the website: https://tu-dresden.de/karriere/datenschutzhinweis
Please find the German version under: https://tu-dresden.de/stellenausschreibung/9796