Efficient AI Algorithm Implementation with FPGAs
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Germany
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Technical University of Darmstadt
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Department of Electrical Engineering & IT
Germany -
Fully funded (e.g. RA, TA, Scholarship, etc.)
3 years-
On Campus
Expired
Fully funded (e.g. RA, TA, Scholarship, etc.) Position Details (PhD)
initially limited for three years, starting a soon as possible.
Your Tasks:
This new PhD position aims to explore the efficient implementation of AI algorithms, e.g., neural networks, with FPGAs. Concrete topics of this position can include but not limited to:
- Efficient implementation of neural networks taking advantages of the structure of FPGAs
- Hardware-software codesign for AI algorithms and FPGA implementation
- Maximum utilization of FPGAs for AI algorithms, e.g., neural networks
Appropriate participation in administrative tasks, in teaching courses, and in supervising student work is expected.
Requirements:
- A completed master degree in electrical engineering, computer science or other related disciplines
- The final grade should not be worse than “Good”
- Detailed knowledge of FPGAs, and proficiency in C, Python, VHDL/Verilog programming languages.
- A good understanding of AI algorithms, e.g., neural networks, or is strongly interested in exploring AI algorithms
Opportunity for further qualification (doctoral dissertation) is given. The fulfillment of the duties likewise enables the scientific qualifications of the candidate.
The Technische Universität Darmstadt intends to increase the number of female employees and encourages female candidates to apply. In case of equal qualifications applicants with a degree of disability of at least 50 or equal will be given preference. Wages and salaries are according to the collective agreements on salary scales, which apply to the Technische Universität Darmstadt (TV-TU Darmstadt). Part-time employment is generally possible.
We look forward to receiving your detailed application, consisting of a cover letter in which you describe your interest in research in the specified field and your strengths and main areas of interest, a curriculum vitae, copies of bachelor and master transcripts, copies of certificates and references. Please send one PDF-file with max. 10 MB by email to: grace.zhang@tu-darmstadt.de, Prof. Dr.-Ing. Li Zhang, Hardware for Artificial Intelligence Group, Merckstr. 25, 64283 Darmstadt, Germany.