Research Associate in Fpga Design - Dresden, Deutschland - Leibniz-Institut für Polymerforschung Dresden e. V.

Lena Wagner

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. 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)***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
- and
architecture exploration, hardware/software co-design and operating/runtime systems. Typical


Tasks:

- 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.


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

experience and interests and an official transcript of coursework and grades, by
June 3, 2024

TU Dresden, Fakultät Informatik, Institut für Technische Informatik, Professur für Adaptive

Dynamische Systeme, Frau Prof. Dr.
Ing. Diana Göhringer, Helmholtzstr. 10, 01069 Dresden,

incurred in attending interviews cannot be reimbursed.


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

Mehr Jobs von Leibniz-Institut für Polymerforschung Dresden e. V.