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 Computer Engineering, the Chair of Adaptive Dynamic Systems offers a project position as

Research Associate for Low-Power Processor Architectures (m/f/x)
(subject to personal qualification employees are remunerated according to salary group E 13 TV-L)

starting as soon as possible. The position is limited until August 31, 2024 with the option of extension. The period of employment is governed by § 2 (2) Fixed Term Research Contracts Act (Wissenschaftszeitvertragsgesetz – WissZeitVG).

The Chair of Adaptive Dynamic Systems conducts research in the fields of reconfigurable computing, domain-specific multi- and manycore architectures, networks-on-chip (NoCs), methods and algorithms for application parallelization, simulators and virtual platforms for application- and architecture exploration, hardware/software co-design and runtime systems. Typical application domains are e.g. signal-/image processing, machine learning and control algorithms for robotics.

Tasks:

• research and development in designing and programming reconfigurable processor architectures based on RISC-V. The processor shall support internal adaptation mechanisms to support low-power operations on a field programmable gate array (FPGA).
• evaluation with application scenarios from mobile robots, e.g. navigation, object detection;
• contributing, administrating and reporting in (inter-)national research and development projects;
• presenting results at international conferences;
• close cooperation with academic and industrial cooperation partners.

Requirements:

• university degree (M.Sc., Diploma) in either computer engineering, computer science, electrical engineering or any related natural science;
• very good programming skills in C, C++;
• high self-motivation, commitment, and flexibility as well as the ability to work in and contribute to an international team;
• very good command of English (written and spoken) and German (optional).
• Experience in several of the following areas is desired: computer architecture, RISC-V, field programmable gate arrays (FPGAs), hardware description languages (e.g. VHDL or Verilog), hardware-software-codesign, robotics.

We offer you an excellent working environment in an international team with many career development possibilities.

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.

Qualified candidates are requested to submit their application including a CV, a brief proposal describing their research experience and interests and an official transcript of coursework and grades by March 1, 2023 (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 using the reference number ADS_23-01 to: ads@mailbox.tu-dresden.de or to: TU Dresden, Fakultät Informatik, Institut für Technische Informatik, Professur für Adaptive Dynamische Systeme, Frau Prof. Dr.-Ing. Göhringer, Helmholtzstr. 10, 01069 Dresden, Germany. 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.