Beschreibung

**Open minded**

We are a young, innovative university located in the heart of the Ruhr metropolis. We pride ourselves in outstanding research and teaching, think in terms of opportunities rather than limitations and develop ideas with a view to the future. Diversity is an integral part of our culture as we promote potential and are committed to upholding genuine equity in education.

**Location**

Duisburg

**Application area**

Faculty of Engineering, Electronic Components and Circuits

**Scientific Researcher / PostDoc (f/m/d, No. 483-25)**
EG 13 TV-L

Professor Wöhrle leads a research team as part of a strategic collaboration between the Chair of Electronic Components and Circuits (EBS) at the university and the Smart Embedded Systems group at the Fraunhofer Institute for Microelectronic Circuits and Systems (IMS).

Our research group develops innovative hardware and software architectures for next-generation intelligent embedded systems, focusing on domain-specific computing architectures and specialized accelerators for applications in medical technology, IoT systems, and autonomous robotics.

This collaboration combines the strengths of both institutions: fundamental technology development and characterization at EBS, with application-oriented research and optimization at Fraunhofer IMS. This collaborative approach advances research from theoretical concepts to practical, industry-ready solutions.

You will contribute to the complete research and development cycle in an environment that combines rigorous academic research with applied industrial innovation. Your work will have real-world applications in areas such as medical technology, smart IoT devices, autonomous systems, and intelligent robotics, supported by the resources and expertise of two leading research institutions.

**Start of employment**

at the earliest possible date

**Duration of employment**

4 years

**Working time**

39 h 50 min (part-time employment is possible)

**Your main tasks**

You will actively participate in our growing team focused on AI-based embedded systems research and contribute to shaping our research agenda. You will develop new methods, models and architectures for embedded AI systems, including domain-specific computer architectures for microcontrollers and FPGAs, with applications ranging from edge devices like microcontrollers to FPGA-accelerated platforms.

- **Embedded software and system integration:** You will develop embedded software solutions, program microcontrollers and embedded processors, and create complete embedded AI prototypes using development boards, FPGA platforms, and embedded AI modules, including sensor integration, real-time data processing, and communication interfaces for practical applications.
- **Hardware-software co-design:** You will develop and optimize hardware-software interfaces and participate in co-design development to achieve optimal synergy between specialized hardware and embedded software. This includes machine learning model modification, partitioning, and optimization, with focus on analyzing and implementing the optimal distribution of computational tasks between hardware accelerators and software components to maximize system efficiency and real-time performance.
- **Hardware architecture design:** You will contribute in the design of digital computing and accelerator architectures, preferably using hardware description languages (VHDL, Verilog, or SystemVerilog) for FPGA implementations and develop domain-specific processor architectures optimized for AI workloads.
- **Publication and presentation:** You will publish and present results in scientific journals and at conferences to actively contribute to the scientific discussion.
- **Leadership and management:** You will manage scientific projects and contribute to the strategic direction of our research and expanding the research team. Initiating new third-party funded projects (DFG, BMFTR, EU).
- **Teaching and supervision**: You will support the preparation and teaching of courses (embedded systems, artificial intelligence/machine learning) and co-supervise doctoral, Master’s and Bachelor’s students
- **Interdisciplinary collaboration:** You will work in close cooperation with internal and external partners from science and industry to drive technological breakthroughs in applications such as medical technology, smart IoT devices, autonomous systems, and intelligent robotics.

**Your profile**

- **PhD** **or equivalent qualification** in electrical engineering, electronics, computer engineering, technical computer science or a related field with focus on embedded systems or AI.
- **Strong experience in embedded programming**: Proficiency in programming for microcontrollers (ARM Cortex, RISC-V based platforms etc.) and embedded systems development.
- **Embedded AI expertise**: Experience with machine learning frameworks for embedded systems (TensorFlow Lite, TinyML, Edge Impulse, etc.) and AI model deployment on resource-constrained devices.
- Experience with **either** hardware design using HDLs (Verilog, SystemVerilog, VHDL) for FPGAs **or** extensive embedded software development experience.
- **Preferred additional experience:** FPGA development tools (Vivado, Quartus), embedded Linux, sensor integration, digital signal processing, computer vision for embedded systems, or robotics applications. Knowledge in digital ASIC development is a plus.
- Experience with Python for algorithm development and prototyping is a plus.
- High motivation to solve scientific challenges creatively and independently
- Written and spoken German language skills are preferred

As part of this position, you will be encouraged and supported in pursuing advanced academic qualification, up to and including habilitation.

**We offer you**

- Interesting and educational tasks involving the use of key technologies of the future
- A responsible job with great creative potential
- A non-discriminatory working environment with respectful, appreciative cooperation
- A pleasant working atmosphere in a dynamic team
- Family friendliness through childcare and counselling for your care responsibilities
- A wide range of further and advanced training programs, individual induction training
- Excellent public transport connections and free parking on site
- Attractive sports and health programs
- The possibility of flexible working hours and mobile working



**Application deadline**

2025-09-28

**Code number**

483-25

**Application**

Please send your application with the usual documents (CV, list of publications, letters of recommendation and certificates), as a single, merged PDF file, quoting the reference number 483-25 to Prof. Hendrik Wöhrle, University of Duisburg-Essen, Faculty of engineering, 47048 Duisburg, telephone 0203/379-1074, e-mail [roman.burkard@uni-due.de](mailto:roman.burkard@uni-due.de).



**Information about the job**

You can find information about the faculty and the office issuing the call for applications at: [https://www.uni-due.de/iw](https://www.uni-due.de/iw)

**Learn more**

University of Duisburg-Essen pursues the goal of promoting the diversity of its members.
[www.uni-due.de/diversity/en](https://www.uni-due.de/diversity/en)

In accordance with the State Equal Opportunities Act, women with the same qualifications are given preferential consideration.

Applications from suitable disabled persons and persons of equal status within the meaning of § 2 para. 3 SGB IX are desired.

By applying for one of the advertised positions, you expressly agree to the requirements in accordance with the General Data Protection Regulation and to being contacted by mail. Further information on data protection can be found **[here](https://www.uni-due.de/imperia/md/content/dokumente/2023/ude-datenschutz-bewerber-innen.pdf)**.