Research Associate in FPGA Design (m/f/x)

at  LeibnizInstitut fr Polymerforschung Dresden e V

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. 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 position as
Research Associate in FPGA Design (m/f/x)
(subject to personal qualification employees are remunerated according to salary group E 13 TV-L)
starting August 1, 2024. The position is limited until December 31, 2025 with the option of extension.
The period of employment is governed by the Fixed Term Research Contracts Act
(Wissenschaftszeitvertragsgesetz – WissZeitVG). The position aims at obtaining further academic
qualification.
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 operating/runtime systems. Typical
application domains are e.g. signal-/image processing and machine learning.

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++;
• very good command of English (written and spoken) and German (optional);
• high self-motivation, commitment, and flexibility as well as the ability to work in and contribute

to an international team.

• experience in one or more of the following areas is desired: field programmable gate arrays

(FPGAs), hardware description languages (e.g. VHDL or Verilog), high-level synthesis (HLS),
artificial intelligence and/or machine learning.
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.
Please submit your detailed application, including a CV, a brief proposal describing their research
experience and interests and an official transcript of coursework and grades, by June 3, 2024
(stamped arrival date of the university central mail service or the time stamp on the email server of
TUD applies), preferably via the TUD SecureMail Portal https://securemail.tu-dresden.de by sending it
as a single pdf file stating the reference number “ADS_24-02” to ads@mailbox.tu-dresden.de or to:

• scientific research and development in designing and programming fied programmable gate
  arrays (FPGAs) for accelerating signal-/image processing, artificial intelligence (AI) and/or

machine learning (ML) algorithms.

• contributing, administrating and reporting in (inter-)national research and development

projects;

• presenting results at international conferences;
• close cooperation with academic and industrial cooperation partners.