Research Associate
vor 2 Monaten
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 Processor**
**Design **offers one fixed term position as
**Research Associate **(M/F/x)
starting on **April 1, 2023.
- Research area: _**Energy-Efficient Distributed and In-Network Computing through**
**Approximate Computing**
- Terms: _The position is initially limited until December 31, 2024 with 75% of a full time
possibility to obtain further academic qualification.
The period of employment is governed by the Fixed Term Research Contracts
Act (Wissenschaftszeitvertragsgesetz - WissZeitVG).
**Position**
processing, and AI-based tasks shall be executed on millions of IoT edge devices. The ever-increasing
need for distributed computing, but on-the-fly, via network elements (a.k.a in-network computing). To
further alleviate such challenges for the power-constrained IoT devices, we aim to design configurable
accelerators through the use of approximate computing techniques while satisfying the accuracy
**Tasks**:
- for in-network computation approach,- Identify mechanisms for task-partitioning (e.g., distributed inference) on edge devices,
- approximations to improve energy-efficiency of computational algorithms,- Develop accelerators using FPGAs for low-power and high-throughput design,
- Publish the works in international conferences and/or journals.
**Requirements**:
We aim at attracting the best talent in the respective research fields and expect the following:
- outstanding university degree (Master or equivalent) in computer science or electrical
- engineering;
- good programming skills (especially on scripting and C languages) as well as good hardware
- design skills (especially using VHDL/Verilog and component-based design);- Experience with high-level synthesis (Vivado HLS) and machine learning simulators (especially
- neural networks);- Experience in using FPGAs for design will provide an added advantage;
- very good interpersonal and communication skills; in particular, the ability to effectively work
- in collaborative research efforts;- Fluency in English - written and oral;
- Knowledge of German would be an advantage.
**What we offer**
You will join a team of enthusiastic researchers who pursue creatively their individual research
agenda. Other ongoing projects at the Chair of Processor Design can be found at
Electronics Dresden”, which offers plenty of resources and structures for career development.
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.***
**Application Procedure**
letter, CV, copy of degree certificates, transcript of grades (i.e. the official list of coursework including
your grades) and proof of English language skills preferably via the TU Dresden SecureMail Portal
**Dresden, Fakultät Informatik, Institut für Technische Informatik, Professur für**
**Prozessorentwurf, Prof. Akash Kumar, Helmholtzstr. 10, 01069 Dresden, Germany**. The closing
in attending interviews cannot be reimbursed.
**Reference to data protection**: Your data protection rights, the purpose for which your data will be processed,
- dresden.de/karriere/datenschutzhinweis
**_About cfaed _**:
- The cfaed is a Central Academic Unit which brings together 200 researchers _
- from TU Dresden and ten other research institutions in the areas of Electrical _
- and Computer Engineering, Computer Science, Materials Science, Physics, _
- Chemistry, Biology, and Mathematics. The
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