The Computer Engineering Group at the Institute of Computer Science at Clausthal University of Technology is offering a full-time PhD position (Wissenschaftliche:r Mitarbeiter:in) initially limited to three years. The research focuses on modern hardware design, specifically processor development (such as RISC-V extensions and registerless architectures) or hardware accelerators for spiking neural networks (SNNs). Responsibilities include conducting doctoral research, publishing at international conferences and in academic journals, and participating in teaching duties in either German or English. Applicants must hold an above-average Master's degree in Computer Science, Electrical Engineering, Computational Engineering, or a related field, along with knowledge of computer architecture and FPGAs. Compensation is governed by the TV-L pay scale.
| Employer | Clausthal University of Technology |
| Department | Computer Engineering Group at the Institute of Computer Science |
| Position Type | PhD Position |
| Discipline | Computer Science / Electrical Engineering |
| Research Area | Hardware Design and Processor Development |
| Degree Required | Master or equivalent in Computer Science, Electrical Engineering, Computational Engineering, or a related field |
| Experience | Knowledge of computer architecture and working with FPGAs |
| Salary | Remuneration according to the collective agreement for the public service of the federal states (TV-L) |
| Funding | TV-L collective agreement pay |
| Contract Duration | 3 years |
| Language | German or English for teaching; good knowledge of English |
| Deadline | 2026-11-15 |
| Required Documents | standard application documents |
| Employer Contact | Prof. Oliver Keszöcze ([email protected], +49 5323 72-7153) |
| Employer Address | Lower Saxony |
The research focuses on modern hardware design for high-performance, energy-efficient, and resource-efficient computing systems. Applicants will pursue a doctorate in one of two main areas: Processor Development, focusing on RISC-V processors, architecture extensions, and novel registerless processor concepts from design to FPGA implementation; or Hardware Accelerators for Spiking Neural Networks (SNNs), involving the development of custom architectures, Chisel-based design tools, and implementation of large-scale networks on FPGAs.
Candidates holding an above-average Master's degree or equivalent in Computer Science, Electrical Engineering, Computational Engineering, or a related field. Applicants should possess knowledge of computer architecture, experience with FPGAs, strong teamwork and communication skills, and good English proficiency. Desirable qualifications include knowledge of RISC-V, Chisel, or spiking neural networks.
Clausthal University of Technology is a research-focused university in Germany with around 80 professors, 1,100 employees, and 3,000 students. It is committed to the university-wide focus topic of the Circular Economy and sustainable development in the digital age.
The application deadline is November 15, 2026.
Applicants must hold an above-average Master's degree or equivalent in Computer Science, Electrical Engineering, Computational Engineering, or a related field.
No, teaching participation can be conducted in either German or English.
The contract is initially limited to a duration of 3 years.
This listing is summarised from the official advertisement. Always confirm the details, including the closing date, on the employer's own site before applying.
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