The job description for this position covers the following aspects:

• Explore and design a new CIM architecture based on memristive device technology

• Prove and demonstrate the potentials of new CIM architectures using architectural simulators (e.g. GEM5)

• Collaborate with circuit designer to explore primitive functions of CIM architecture

• Explore applications for CIM architectures

You hold a Msc in computer engineering or a related discipline and you have a track record scientific excellence in the field(s) of Computer Architecture. Knowledge and experiences in some or all of the following fields will be an asset:

- Heterogeneous computing (Processing-in-memory is preferred) systems development

- Memory system design, or knowledge on emerging technologies

- System simulation/verification (e.g. using GEM5, Sniper)

- Strong verbal and written communication skills as well as social skills 

The excellent scientific qualities of the candidate should be demonstrated by a MSc degree (and potential publication(s) in international refereed journals and/or conferences).   

Fixed-term contract: 4 years.

TU Delft offers a customisable compensation package, a discount for health insurance and sport memberships, and a monthly work costs contribution. Flexible work schedules can be arranged. An International Children’s Centre offers childcare and an international primary school. Dual Career Services offers support to accompanying partners. Salary and benefits are in accordance with the Collective Labour Agreement for Dutch Universities.

As a PhD candidate you will be enrolled in the TU Delft Graduate School. TU Delft Graduate School provides an inspiring research environment; an excellent team of supervisors, academic staff and a mentor; and a Doctoral Education Programme aimed at developing your transferable, discipline-related and research skills. Please visit www.tudelft.nl/phd for more information.

Faculty Electrical Engineering, Mathematics and Computer Science

The Faculty of Electrical Engineering, Mathematics and Computer Science (EEMCS) is known worldwide for its high academic quality and the social relevance of its research programmes. The faculty’s excellent facilities accentuate its international position in teaching and research. Within this interdisciplinary and international setting the faculty employs more than 1100 employees, including about 400 graduate students and about 2100 students. Together they work on a broad range of technical innovations in the fields of sustainable energy, telecommunications, microelectronics, embedded systems, computer and software engineering, interactive multimedia and applied mathematics.

The Quantum Computer Engineering laboratory (Q&CE-Lab) is one of the largest labs of the faculty with 8 professors, 6 PostDocs,  and more than 40 PhDs; CE Labs  performs research in a broad range of topics ranging from computer arithmetic and computer architecture to compiler construction and focusing both on embedded systems as well as high performance computing without losing sight of future and emerging technologies. Our research is focused on 5 domains: (1) Quantum Computing, (2) Computation-In-Memory (3) Big Data Architectures, (4) Liquid Architectures, and (5) Dependable Nano Computing. 

Driven by three major challenges of today's computer architectures (i.e., Memory Wall, Instruction Level Parallelism Wall, and Power Wall) and three major challenges of today's CMOS technologies (Leakage Wall, Cost Wall, and Reliability wall), and in order for computing systems to continue to deliver sustainable benefits for the foreseeable future society, alternative computing architectures and notions have to be explored in the light of emerging new device technologies. Computation-in-memory research domain within CE lab at developing and demonstrating a new computation-in-memory (CIM) architecture based on resistive devices together with its required programming flow and interface. Activities are taking place in collaboration with our partners in an EU project lead by CE-Lab; these are are  Eindhoven University of Technology, IMEC, ARM, IBM, RWTH-Aachen, ETHZ, and INRIA. The research activities include  (a) Design of new (Non-Von Neumann) CIM architecture based on a memristive device technology, (b) Design and test of memristor based logic and memories, (c) design of efficient on-chip communication schemes for computation in memory architecture, (d) Development and design of new mapping method and framework for efficient compilation and mapping of parallel algorithms on CIM architecture, etc.

https://www.tudelft.nl/en/eemcs/the-faculty/