Postdoc in Analog computing
At TU Dresden within the Cluster of Excellence ‘Center for Advancing Electronics Dresden’ (cfaed) the newly established Chair of Network Dynamics offers, subject to resources being available, the position in the research area of Statistical Physics and Collective Nonlinear Dynamics of Networks as
(subject to personal qualification employees are remunerated
according to salary group E 13 TV-L)
The position is in the DFG project “Analog computing” and starts as soon as possible and is fixed-term until 31.12.2019. The period of employment is governed by the Fixed-Term Research Contracts Act (Wissenschafts¬zeitvertragsgesetz – WissZeitVG). The position offers the chance to obtain further academic qualification (e.g. habilitation). The newly established Chair of Network Dynamics of Prof. Dr. Marc Timme advances our conceptual understanding of collective phenomena emerging in network dynamical systems across fields. It bridges fundamental topics from the Theoretical Physics of complex systems to questions on the collective function of biological and bio-inspired systems and on self-organized solutions for engineering systems and sustainability. Through mathematical, theoretical and computational multidisciplinary research and development it addresses pressing challenges in a wide range of research areas, including the distributed computing in artificial and biological neural circuits, optimization and design of networked and flexible mobility systems, the collective dynamics of modern power grids, and network inverse problems of identifying and designing interaction topology underlying a given system’s dynamics and function.
Within the DFG project “Analog computing” the postdoctoral researcher will aim for a deep theoretical understanding of dynamical systems exhibiting heteroclinic networks for identifying mechanisms supporting intrinsic memory, the interplay between coding and decoding schemes and uncover and determine hardware substrates and architectures to be able to realize a heteroclinic computer. The successful candidate will contribute to world-leading research on understanding collective phenomena in networked systems; develop mathematical and computational tools; mine, analyze, structure and consolidate experimental and numerical data; help establishing collaborations within TU Dresden and beyond; take responsibility for organizational tasks and/or IT and systems administration tasks within the Chair.
We aim at attracting the best talents from the exact sciences between statistical physics, nonlinear dynamics, mathematics, computer science, theoretical biology and engineering. Hence, we expect: an outstanding university degree and doctoral degree in theoretical physics, applied mathematics or related areas, experience in the analysis, design or inference for collective phenomena in complex systems, ideally for network dynamical systems, sound computational knowledge and skills, very good interpersonal and communication skills; in particular, the ability to effectively work in collaborative research efforts, the ability to write and present concisely, an independent, target- and solution-driven work attitude, inter- and multidisciplinary thinking, strong motivation and interest to join one of the most ambitious interdisciplinary research teams in the field, very good command of English - written and oral, experience in any of the above research topic is a plus but not required.
What we offer
You will join a team of enthusiastic scientists who creatively pursue their individual research agenda inspired by the cluster’s innovative approach and support. Your research will be fostered by the cfaed philosophy to promote young researchers, which includes: access to state of the art research of leading academic institutes, promotion of gender equality and family-friendly work environment, an individual thesis advisory committee (TAC) for PhD students.
Informal enquiries can be submitted to email@example.com.
Applications from women are particularly welcome. The same applies to people with disabilities.
Your application (in English only) should include: motivation letter, CV, copy of degree certificate and proof of English language skills. Complete applications should be submitted preferably by e-mail as one single PDF-document quoting the reference number 1707_NetDy_H in the subject header to firstname.lastname@example.org (Please note: We are currently not able to receive electronically signed and encrypted data) or alternatively by post to: TU Dresden, cfaed, Frau Dr. P. Grünberg, 01062 Dresden, Germany. Please submit your applications by 05.10.2017 (stamped arrival date of the university central mail service applies). Please submit copies only, as your application will not be returned to you. Expenses incurred in attending interviews cannot be reimbursed.
cfaed is a cluster of excellence within the German Excellence Initiative. As a central scientific unit of TU Dresden, it brings together 300 researchers from the university and 10 other research institutes in the areas of Electrical and Computer Engineering, Computer Science, Materials Science, Physics, Chemistry, Biology, and Mathematics. cfaed addresses the advancement of electronic information processing systems through exploring new technologies which overcome the limits of today’s predominant CMOS technology. www.cfaed.tu.dresden.de
The TU Dresden is among the top universities in Germany and Europe and one of the eleven German universities that were identified as an ‘elite university’ in June 2012. As a modern full-status university with 14 departments it offers a wide academic range making it one of a very few in Germany.