Doctoral Student in Neuromorphic Computing Using Memristors
Doctoral Student in Neuromorphic Computing Using Memristors
at KTH Royal Institute of Technology, Sweden, offers a unique opportunity to contribute to cutting-edge research in the field of neuromorphic architectures as part of the Marie Curie ITN project REACT. The project centers on developing memristor-based neuromorphic systems, with a particular focus on the BCPNN model pioneered at KTH, while also exploring other neuromorphic models. The successful candidate will enhance simulation frameworks to validate memristor-based models, accounting for device variability and non-idealities, and will develop memristor fabric fragments as SiLago blocks to enable rapid composition of computational structures.
Supervision will be provided by Professor Ahmed Hemani, a leading expert in the field. The position is based in Stockholm and offers full-time employment for up to four years, with a monthly salary starting at 33,000 SEK (approx 2,991 EUR), in accordance with KTH’s doctoral student salary agreement. Additional Marie Curie allowances, including mobility and possible family allowance, are included. KTH provides a creative and dynamic research environment, attractive benefits, and a commitment to equality and diversity.
Eligibility and Requirements:
Applicants must hold a Master’s degree in Electrical Engineering, completed by the employment start date, and must not have resided or conducted their main activity in Sweden for more than 12 months in the past three years. Required skills include proficiency in analog/mixed-signal IC design flows, hardware description languages (Verilog-A/Verilog), preferably using Cadence or similar EDA tools, and strong programming skills in Python, MATLAB, or C++ for neural network simulation, data analysis, and modeling. Proven research experience in neuromorphic computing, memristive devices, or brain-inspired architectures is essential. Familiarity with machine learning, analog/mixed-signal circuit design, and/or memristive devices is expected. Strong written and spoken English communication skills are mandatory, with English proficiency equivalent to English B/6.
Selection will be based on academic qualifications, relevant experience, and personal skills such as independence, collaboration, professionalism, and the ability to analyze complex issues. Only those admitted to postgraduate education may be employed as a doctoral student. The position may require a security clearance in accordance with Swedish law.
Application Process:
Applications must be submitted through KTH’s recruitment system by January 15, 2026. Required documents include a CV, application letter (max 2 pages), certified copies of diplomas and grades, proof of language requirements, representative publications or technical reports, and contact details for two academic references. All documents must be in English or Swedish, with certified translations if necessary.
For further information, contact Professor Ahmed Hemani at [email protected]. Learn more and apply at
KTH’s recruitment portal
.
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