项目介绍

2025年5月3日

Edge devices that can learn autonomously while guaranteeing dependability are key to the next wave of AI adoption. Within this journey, you will focus on algorithmic innovations that exploit—and are constrained by—an emerging neuromorphic processor that our hardware team is taping out. The core challenge is to co-design algorithms and architecture so that robustness, security, and energy efficiency are all first-class citizens.

As the PhD candidate for the “architecture-aware algorithm”, you will:

• Devise on-device learning rules tailored to dataflow neuromorphic cores.
• Quantify and mitigate fault modes arising from device noise, variability, radiation, and adversarial tampering.
• Build an open-source software stack that maps algorithms to hardware, including compiler extensions and runtime monitors.
• Demonstrate your solutions on real-world use cases

You will collaborate closely with hardware designers and industrial partners, benefiting from their complementary expertise and datasets. The position is embedded in the CAES chair of the EEMCS faculty, which offers a vibrant, international research environment and access to state-of-the-art fabrication and test facilities.

Your profile

• Enthusiastic and highly motivated researcher with a MSc degree (or equivalent) in Computer Science, Electrical/Computer Engineering, Applied Mathematics, or a related field.
• Solid background in machine learning and/or signal processing
• Strong Programming skills (in C and Python)
• Familiarity with hardware constraints (embedded systems or neuromorphic computing) is an advantage.
• Creative mindset with excellent analytical, programming, and communication skills.
• Proven ability to work both independently and in an interdisciplinary, internationally oriented team.
• Proficiency in English (written and spoken).

Our offer

• As a PhD candidate at UT, you will be appointed to a full-time position for four years, with a qualifier in the first year, within a very stimulating and exciting scientific environment;
• The University offers a dynamic ecosystem with enthusiastic colleagues;
• Your salary and associated conditions are in accordance with the collective labour agreement for Dutch universities (CAO-NU);
• You will receive a gross monthly salary ranging from € 2.901,- (first year) to € 3.707,- (fourth year);
• There are excellent benefits including a holiday allowance of 8% of the gross annual salary, an end-of-year bonus of 8.3%, and a solid pension scheme;
• The flexibility to work (partially) from home;
• A minimum of 232 leave hours in case of full-time employment based on a formal workweek of 38 hours. A full-time employment in practice means 40 hours a week, therefore resulting in 96 extra leave hours on an annual basis.
• Free access to sports facilities on campus
• A family-friendly institution that offers parental leave (both paid and unpaid);
• You will have a training programme as part of the Twente Graduate School where you and your supervisors will determine a plan for a suitable education and supervision;
• We encourage a high degree of responsibility and the independence, while collaborating with close colleagues, researchers and other staff.

Information and application

Are you interested in this position? Please send your application via the ‘Apply now’ button below before June 30, 2025, and include:

• A Curriculum Vitae, highlighting all the evidence of your excellence.
• A cover letter, explaining your background in half of a page.Transcripts for your bachelor and master courses with a short explanation of how to read it, if necessary. If the transcript is not in English, you can provide an unofficial translation for this stage of application.
• Proof of English proficiency