Petriina Paturi
10 months ago
This position has expired. You can find similar positions from the section below or browse our positions listing pages.
Postdoctoral Research Positions in Electrical Engineering for Memristive Neuromorphic Computing University of Turku in Finland
Degree Level
Postdoc
Field of study
Computer Science
Funding
Available
Deadline
Expired
Country
Finland
University
University of Turku

How do I apply for this?
Sign in for free to reveal details, requirements, and source links.
Suggested positions
Keywords
About this position
The University of Turku’s Department of Physics and Astronomy is seeking 1–2 postdoctoral researchers in Electrical Engineering for a major five-year Business Finland–funded project focused on memristive neuromorphic computing. The project aims to develop next-generation energy-efficient analog and mixed-signal hardware using patented GCMO memristors, with applications in AI, signal processing, and autonomous systems. Successful candidates will join a multidisciplinary team and play a central role in designing, prototyping, and validating neuromorphic front-end electronics, synaptic crossbar circuits, and mixed-signal architectures for real-world AI and autonomous systems.
As part of the Electrical Engineering team, you will be responsible for analog and mixed-signal circuit design, including synaptic crossbars, neuron circuits, and signal-conditioning blocks. You will develop read/write architectures, conduct feasibility studies for ASIC-oriented concepts, and implement hardware prototypes using custom PCBs, FPGA platforms, or microcontroller systems. Collaboration with materials physics, device fabrication, and neuromorphic algorithm specialists is integral to the project, ensuring device–circuit co-design and system-level integration.
The position offers a fixed-term contract from January 1, 2026 (or as agreed) until November 30, 2027, with the possibility of extension for up to three additional years. The research environment is internationally recognized for pioneering work on GCMO memristors and neuromorphic hardware, providing access to high-quality laboratories, comprehensive occupational health care, wellbeing services, flexible working hours, remote-work options, and strong support for international researchers, including relocation assistance and onboarding services.
Applicants must hold a doctoral degree in Electrical Engineering, Electronics, Microelectronics, Computer Engineering, or a closely related field. Required skills include independent scientific research, analog/mixed-signal circuit design, simulation and modeling, laboratory measurements, and proficiency in English. Preferred qualifications include experience with neuromorphic front-end circuits, memristive devices, crossbar arrays, PCB design, rapid prototyping, and hardware–algorithm co-design. The salary for postdoctoral researchers is typically 3,200–4,000 EUR/month, determined by collective agreement and experience, with a six-month trial period.
The Memristor Research Group at the University of Turku is internationally recognized for its expertise in thin-film materials, device physics, circuit concepts, and neuromorphic algorithms. The Department of Physics and Astronomy offers a rich curriculum and research profile, with a collaborative and supportive work environment. The University of Turku is committed to equality, diversity, and inclusivity, and provides strong support for international hires.
To apply, submit your application via the online recruitment system by December 15, 2025. Required documents include a motivation letter, CV, list of publications, degree certificates, and contact information for two referees. Interviews are planned before Christmas. For scientific inquiries, contact Professor Petriina Paturi ([email protected]) or Research Manager Quentin Huchet ([email protected]). For application process inquiries, contact HR Specialist Saija Marjasto ([email protected]).
Funding details
Available
What's required
Applicants must hold a doctoral degree in Electrical Engineering, Electronics, Microelectronics, Computer Engineering, or a closely related field. They should demonstrate independent scientific research ability, have a solid foundation in analog and/or mixed-signal circuit design (including simulation and modeling), and experience with laboratory measurements and electronic instrumentation. Excellent written and spoken English and the ability to work collaboratively in an interdisciplinary environment are required. Preferred qualifications include experience with neuromorphic front-end circuits, memristive devices, crossbar arrays, PCB design, rapid prototyping, familiarity with neuromorphic concepts (neuron/synapse models, spike-based processing), and hardware–algorithm co-design.
Ask ApplyKite AI
Professors

How do I apply for this?
Sign in for free to reveal details, requirements, and source links.