INSTITUT FÜR CMOS DESIGN - NEUROMORPHIC COMPUTING GRUPPE

With more than 16,000 students and 3,800 employees, the Technische Universität Braunschweig is one of Germany´s leading institutes of technology. It stands for strategic and performance-oriented thinking and acting, relevant research, committed teaching, and the successful transfer of knowledge and technologies to the economy and society. We consistently advocate for family friendliness and equal opportunities.
Our research focuses are mobility, engineering for health, metrology, and city of the future. Strong engineering and natural sciences are our core disciplines. These are closely interconnected with economics, social and educational sciences and humanities.
Our campus is located in the midst of one of the most research-intensive regions in Europe. We work successfully together with over 20 research institutions in our neighborhood as we do with our international partner universities.
Starting from 01.11.2025 the department of electrical engineering, information technology and physics is looking for a

YOUR QUALIFICATIONS

• Completed scientific university studies in the field of electrical engineering, electronics, communication engineering, information technology or comparable with a master’s or diploma degree
• Strong knowledge in analog circuit design methodologies and signal integrity analysis
• Deep understanding of programming languages (Python, C/C++), algorithms, and problem-solving in a dynamic tech landscape
• Hands-on experience in AI engineering with TensorFlow or similar frameworks
• Ability to develop Spiking Neural Networks from scratch, including training and quantization
• Optimize and benchmark applications and models for neuromorphic hardware and software
• Adapt algorithms for effective performance on neuromorphic hardware
• Knowledge in at least one area as a plus:
• deep learning
• hardware development
• memory technology
• Strong problem-solving and analytical skills with leadership in complex design efforts

• Stay engaged with the latest research, experimenting with cutting-edge solutions and pushing the boundaries in the field
• Develop advanced artificial neural networks (ANN) and spiking neural networks (SNN), including training, mapping, and weight quantization
• Collaborate with cross-functional teams, including digital, physical, and mixed-signal designers
• Prepare technical reports for internal and external partners
• Write research papers for journals and conferences