This PhD position is aimed at exploring computer architecture solutions for processing-in-memory acceleration of deep learning applications. These applications are extremely important for many applications such as autonomous vehicles, where there are serious performance demands combined with strict power and energy budgets. Novel extremely efficient devices need to be explored.
Project description
This position is part of AutoPiM, a 5-year project funded by the Swedish Foundation for Strategic Research. The project aims to develop novel, energy-efficient accelerators using processing-in-memory (PiM) technology, specifically for Deep Learning (DL) applications in autonomous vehicles. This is a collaborative initiative between research teams, where Chalmers focuses on Near-Memory Processing, and our partners concentrate on In-Memory Processing architectures and tools.
The primary research goal is to develop efficient DL implementations for autonomous vehicles in a post-Moore and post-Dennard era. More specifically, we will investigate and design combined Near- and In-Memory dual-PiM architectures and a tool to map DL models onto the hardware. This dual approach aims to significantly reduce latency, power consumption, and cost in mobile DL applications. By the end of the project, a prototype chip is expected to be produced.
Information about the division
The project will be hosted by the Division of Computer Networks and Systems within the Department of Computer Science and Engineering at Chalmers University. The division includes four faculty members, four postdocs, and eleven PhD students, all actively engaged in computer architecture research. The group is well-funded, with support from both national and EU projects, and its faculty have received prestigious grants such as the ERC Advanced Grant. Our team also contributes to leading European projects, including the European Processor Initiative (EPI) and various EuroHPC projects. The results of our research are regularly published in top-tier conferences and journals.
This position is part of our growing focus on the design of advanced Domain-Specific Architectures (DSA) and accelerators. International students consistently rate Chalmers highly, particularly praising the quality of teaching and assessment. In fact, Chalmers was ranked as the world’s top university in terms of student satisfaction in the International Student Barometer. Moreover, with the launch of our MSc programs in High-Performance Computer Systems and Data Science, this PhD project is perfectly aligned with our core educational efforts.
Major responsibilities
As a PhD student at Chalmers, you have a five-year employment to carry out the research and course work needed to obtain a PhD degree. In addition, you will be helping out with teaching tasks to an amount of 20% of your time typically as a teaching assistant.
Read more about doctoral studies at Chalmers here.
Qualifications
- MSc in Computer Science, Computer Engineering, Electrical Engineering, or equivalent.
- Excellent communication skills in written and spoken English.
- Ability to program in high-level languages such as C or C++.
- Strong knowledge in computer architecture.
- GPU programming, FPGA development tools and HLS, Artificial Intelligence, Python.
We value a collaborative attitude and an interest in working both in teams and independently. Self-motivation, attention to detail, and a problem-solving analytical ability are important personal qualities for this position.
Contract terms
Full-time temporary employment. The position is limited to a maximum of five years.
We offer
Chalmers offers a cultivating and inspiring working environment in the coastal city of Gothenburg.
Read more about working at Chalmers and our benefits for employees.
Chalmers aims to actively improve our gender balance. We work broadly with equality projects, for example the GENIE Initiative on gender equality for excellence. Equality and diversity are substantial foundations in all activities at Chalmers.
Application procedure
The application should be marked with reference number 20240562 and written in English. The application should be sent electronically and be attached as PDF-files, as below. Maximum size for each file is 40 MB. Please note that the system does not support Zip files.
CV: (Please name the document: CV, Family name, reference number)
• CV
• Other, for example previous employments or leadership qualifications and positions of trust.
• Two references that we can contact.
Personal letter: (Please name the document as: Personal letter, Family name, ref.number)
1-3 pages where you:
• Introduce yourself
• Describe your previous experience of relevance for the position (e.g. education, thesis work and, if applicable, any other research activities)
• Describe your future goals and future research focus
Other documents:
• Copies of bachelor and/or master’s thesis.
• Attested copies and transcripts of completed education, grades and other certificates, e.g. TOEFL test results.
Use the button at the foot of the page to reach the application form.
Please note: The applicant is responsible for ensuring that the application is complete. Incomplete applications and applications sent by email will not be considered.
Application deadline: 2024-11-15
For questions, please contact:
Prof. Pedro Trancoso, Computer Networks and Systems division
ppedro@chalmers.se
Prof. Per Stenström, Computer Networks and Systems division
per.stenstrom@chalmers.se
*** Chalmers declines to consider all offers of further announcement publishing or other types of support for the recruiting process in connection with this position. ***
