The Eindhoven University of Technology (TU/e) is offering multiple PhD positions in the field of mixed-signal circuit design, focusing on physics-based computing and sense to compute paradigms. These positions are part of the NanoComputing Research Lab within the Department of Electrical Engineering, a leading group in the design and implementation of Oscillatory Neural Networks (ONNs) for advanced computing applications. The research is closely tied to prestigious projects such as the ERC Consolidator Grant (THERMODON) and the NWO AiNED AI-on-ONN project, aiming to harness ONNs for combinatorial optimization and sensor data processing. Successful candidates will work on the design, modeling, simulation, and benchmarking of mixed-signal and analog circuits for ONNs, including chip tapeout as proof of concept. The research involves interdisciplinary collaboration and offers opportunities to publish in high-impact journals and present at international conferences. The department is internationally recognized for its innovative research and strong industry partnerships, providing a dynamic and supportive environment for PhD candidates. Applicants must have a master’s degree in electrical engineering, computer engineering, or a related field, with a strong background in analog and mixed-signal circuit design, simulation, and proficiency in IC design tools such as SPICE, Cadence, and MATLAB. Fluency in English and a research-oriented attitude are required. The application package should include a cover letter, CV with publications and references, transcripts, MSc thesis, and English test results (IELTS or TOEFL or equivalent). The positions are fully funded for four years, with a competitive salary (scale P: €3,059–€3,881 per month), year-end bonus, vacation pay, pension scheme, parental leave, and additional benefits such as training programs, technical infrastructure, childcare, sports facilities, and tax compensation for international candidates. The university provides a vibrant, international research environment and encourages personal and professional growth. To apply, candidates should use the official TU/e online application system via the provided vacancy links. Applications sent by email or post will not be processed. The deadline for applications is February 5, 2026, but the positions will remain open until filled. For further information, applicants may contact Prof. Aida Todri-Sanial at [email protected].

The NanoComputing Research Lab, led by Prof. Aida Todri-Sanial at the Eindhoven University of Technology, is offering a PhD position in mixed-signal circuit design for sense to compute applications. The research focuses on the design and implementation of Oscillatory Neural Networks (ONNs) for physics-based computing, leveraging the unique properties of coupled oscillators for efficient problem-solving and sensor data processing. The project is part of the prestigious NWO AiNED AI-on-ONN initiative, aiming to advance the sense to compute paradigm. The successful candidate will join the Department of Electrical Engineering and work on analog circuit design, modeling, simulation, and benchmarking of ONNs, with responsibilities including experimental validation and collaboration within an interdisciplinary team. The position offers opportunities to publish in high-impact journals and present at international conferences. The research environment is dynamic, international, and closely connected to high-tech industry partners. Applicants should have a master’s degree in electrical engineering, computer engineering, or a related field, with strong skills in mixed-signal circuit design, IC design tools (such as SPICE, Cadence, MATLAB), and a research-oriented mindset. Fluency in English and the ability to work collaboratively are essential. The position is fully funded for four years, with a competitive salary and comprehensive benefits, including support for international candidates. The application requires a cover letter, CV, transcripts, MSc thesis, and proof of English proficiency. The deadline for applications is February 5, 2026, and the position will remain open until filled. For more information, visit the official job posting or contact Prof. Aida Todri-Sanial.

The Eindhoven University of Technology invites applications for a fully funded PhD position in Mixed-Signal Circuit Design for Sense to Compute, hosted by the NanoComputing Research Lab within the Department of Electrical Engineering. This opportunity is part of the prestigious NWO AiNED AI-on-ONN project, focusing on the design and implementation of Oscillatory Neural Networks (ONNs) for physics-based computing applications. The successful candidate will contribute to advancing the sense-to-compute paradigm by designing and developing analog circuits for ONNs, modeling and simulating sensor data processing tasks, and exploring energy-efficient ONN topologies. Experimental validation and benchmarking of circuit designs are integral to the role, alongside collaboration with a dynamic interdisciplinary team and dissemination of research through high-impact journals and international conferences. The NanoComputing Research Lab is recognized for its cutting-edge research in integrated circuits and physic-based computing, offering a stimulating environment with access to excellent technical infrastructure and international networks. The Department of Electrical Engineering at TU/e is committed to fostering a 'Smart Sustainable Society', a 'Connected World', and healthy humanity through innovative research and education. The university is located on a green campus in Eindhoven, within walking distance of the central train station, and provides a collaborative, open culture with strong ties to advanced industries. Employment conditions include a full-time contract for four years, with an intermediate assessment after nine months. The position offers a competitive salary (scale P, €3,059–€3,881/month), year-end bonus, annual vacation pay, pension scheme, paid parental leave, commuting and internet allowances, and a 30% tax compensation scheme for international candidates. Additional benefits include high-quality training programs, on-campus childcare, sports facilities, and support from the Staff Immigration Team. Applicants must hold a master’s degree in electrical engineering, computer engineering, or a related field, with a strong background in mixed-signal circuit design and simulation. Proficiency in IC design tools (SPICE, Cadence, MATLAB), a research-oriented attitude, teamwork skills, and fluency in English are required. Application materials should include a cover letter, CV with publications and references, transcripts, MSc thesis (with English abstract), published papers or links, and IELTS/TOEFL results. Only complete applications submitted online will be considered. The vacancy will remain open until filled, with a priority deadline of February 5, 2026. For further information, contact Prof. Aida Todri-Sanial at [email protected] or HR Services at [email protected]. Apply via the official application link provided. Pre-employment screening may apply. Join TU/e and contribute to innovative research in mixed-signal circuit design and physics-based computing!

The NanoComputing Research Lab at the Integrated Circuits group, Department of Electrical Engineering, Eindhoven University of Technology (TU/e), invites applications for a fully funded PhD position in mixed-signal circuit design for physics-based computing. This opportunity is part of the prestigious ERC Consolidator Grant, THERMODON, focusing on Oscillatory Neural Networks (ONNs) and their application to challenging combinatorial optimization problems. ONNs leverage the dynamics of coupled oscillators to efficiently solve problems via energy minimization, offering a promising alternative to classical computing architectures. As a PhD candidate, you will design and develop mixed-signal circuits for ONN implementation, model and simulate computing tasks such as combinatorial optimization and differential equations, and participate in at least two chip tapeouts as proof of concept. You will explore ONN topologies, analyze power, performance, and area, and collaborate within the interdisciplinary NanoComputing Research Lab. The position emphasizes clear communication, teamwork, and dissemination of research through high-impact journals and international conferences. Applicants should hold a master’s degree in electrical engineering, computer engineering, or a related field, with a strong background in analog and mixed-signal circuit design and simulation. Proficiency in IC design tools (SPICE, Cadence, MATLAB) and tapeout flow is required. The ideal candidate is research-oriented, collaborative, and fluent in English. The position offers full-time employment for four years, with a competitive salary (scale P: €3,059–€3,881/month), year-end bonus, vacation pay, pension scheme, paid parental leave, and additional allowances for commuting, home working, and internet costs. International candidates benefit from a tax compensation scheme (30% facility) and support from the Staff Immigration Team. At TU/e, you will join a dynamic, ambitious university with a strong international network and a collaborative culture. The Electrical Engineering department is renowned for its innovative research and close ties to high-tech industry, providing an inspiring environment for tackling complex, socially relevant challenges. The campus offers excellent technical infrastructure, childcare, and sports facilities, all within walking distance of the central train station. To apply, submit your application online via the provided link, including a cover letter, CV with publications and references, transcripts, MSc thesis and published papers (or links), and IELTS or TOEFL results. Only complete applications will be considered. The vacancy will remain open until filled, with a deadline of February 5, 2026. Please note that applications sent by email or post will not be processed, and a pre-employment screening may be part of the selection procedure. For further information, contact Prof. Aida Todri-Sanial ([email protected]) or HR Services ([email protected]). Explore more about TU/e and the application process via the university’s career page.