For edge-AI applications like personalized healthcare, computing systems with unprecedented energy efficiency are essential. Novel computing paradigms, such as computation-in-memory (CIM) using conventional SRAM and memristive devices offer significant energy efficiency potential. However, CIM requires significant research and development efforts in different aspects related to the full stack of computing systems design, e.g., circuits, micro-architectures, system architectures, compilers, and algorithms, along with design tools and methodologies.

The Computer Engineering (CE) section of the Department of Quantum & Computer Engineering (QCE) is looking for motivated candidates inspired to work on novel neuromorphic algorithms, system architecture and circuit design for CIM. The role is also to demonstrate CIM adaptability towards changes in neuromorphic models and training methods as well as its suitability for edge applications. As a result, the CE group have the following open PhD positions:

Position 1: SRAM-based CIM circuit and architecture design for edge applications: In this position the candidate will explore different circuit and architectural design techniques to develop accurate and energy-efficient SRAM-based CIM for edge AI applications. The candidate will also develop different solutions to address the challenges of SRAM-based CIM.

Position 2: Memristive-based CIM circuit and architecture design: In this position the candidate will develop different circuit and architecture designs utilizing memristive devices such as Phase Changing Memory (PCM) and STT-MRAM devices. The candidate will also develop different solutions to address the challenges of PCM and improve the energy efficiency.

Position 3: CIM-based full system design: In this position the candidate will explore novel methodologies and tools for full-system, application centric design. Close collaboration with application experts, e g. from healthcare and edge AI, as well as with CIM circuit researchers will be required to propose novel, end-to-end full system solutions. The candidate will also develop precise simulation models and new design methodologies with the focus on ultra-low energy consumption.

For these positions, the candidates are expected to have:

• Completed a relevant MSc degree in Electrical Engineering or Computer Science or any other related field relevant to PhD research;
• Good understanding of circuit design (analog and/or digital), and familiarity of tape-out process (Applicable for position 1 and position 2);
• Good understanding of computer architecture with affinity for full-system simulation and design of complex computing systems (Applicable for position 3);
• An affinity with teaching and guiding students;
• The ability to work in a team and take initiatives.

Doing a PhD at TU Delft requires English proficiency at a certain level to ensure that the candidate is able to communicate and interact well, participate in English-taught Doctoral Education courses, and write scientific articles and a final thesis. For more details please check the Graduate Schools Admission Requirements.

Fixed-term contract: 4 years.

Doctoral candidates will be offered a 4-year period of employment in principle, but in the form of 2 employment contracts. An initial 1,5 year contract with an official go/no go progress assessment within 15 months. Followed by an additional contract for the remaining 2,5 years assuming everything goes well and performance requirements are met.

Salary and benefits are in accordance with the Collective Labour Agreement for Dutch Universities, increasing from € 2770,- per month in the first year to € 3539,- in the fourth year.  As a PhD candidate you will be enrolled in the TU Delft Graduate School. The TU Delft Graduate School provides an inspiring research environment with an excellent team of supervisors, academic staff and a mentor. The Doctoral Education Programme is aimed at developing your transferable, discipline-related and research skills.

The TU Delft offers a customisable compensation package, discounts on health insurance and sport memberships, and a monthly work costs contribution. Flexible work schedules can be arranged.

For international applicants, TU Delft has the Coming to Delft Service. This service provides information for new international employees to help you prepare the relocation and to settle in the Netherlands. The Coming to Delft Service offers a Dual Career Programme for partners and they organise events to expand your (social) network.

Delft University of Technology

Delft University of Technology is built on strong foundations. As creators of the world-famous Dutch waterworks and pioneers in biotech, TU Delft is a top international university combining science, engineering and design. It delivers world class results in education, research and innovation to address challenges in the areas of energy, climate, mobility, health and digital society. For generations, our engineers have proven to be entrepreneurial problem-solvers, both in business and in a social context.

At TU Delft we embrace diversity as one of our core valuesand we actively engageto be a university where you feel at home and can flourish. We value different perspectives and qualities. We believe this makes our work more innovative, the TU Delft community more vibrant and the world more just. Together, we imagine, invent and create solutions using technology to have a positive impact on a global scale. That is why we invite you to apply. Your application will receive fair consideration.

Challenge. Change. Impact!

Faculty Electrical Engineering, Mathematics and Computer Science

The Faculty of Electrical Engineering, Mathematics and Computer Science (EEMCS) brings together three disciplines - electrical engineering, mathematics and computer science. Combined, they reinforce each other and are the driving force behind the technology we use in our daily lives. Technology such as the electricity grid, which our faculty is helping to make future-proof. We are also working on a world in which humans and computers reinforce each other. We are mapping out disease processes using single cell data, and using mathematics to simulate gigantic ash plumes after a volcanic eruption. There is plenty of room here for ground-breaking research. We educate innovative engineers and have excellent labs and facilities that underline our strong international position. In total, more than 1,100 employees and 4,000 students work and study in this innovative environment.

Click here to go to the website of the Faculty of Electrical Engineering, Mathematics and Computer Science.