IDLab-UGent-IMEC
IDLab is a research group of UGent, as well as a core research group of imec. IDLab performs fundamental and applied research on data science and internet technology, and counts over 300 members (40 professors, 50 post docs, 200 researchers, 15 support staff members). Our major research areas are machine learning and data mining; semantic intelligence; multimedia processing; distributed intelligence for IoT; cloud and big data infrastructures; wireless and fixed networking; electromagnetics, RF and high-speed circuits and systems. The research for this PhD position will be conducted in the cloud and big data infrastructure track.
Job description
You will be performing research in the domain of backend-based confidential computing. Confidential computing allows to secure data in use (i.e. being processed by applications) from being maliciously accessed or manipulated.
- You will investigate and extend Cloud backend-based confidential computing solutions that offer different degrees of confidentiality with regards to data in use (using ARM Trustzone, Intel TDX or AMD SEV trusted computing extensions).
- The research will apply these confidential computing techniques to trusted multi-party data exchanges and includes diving into WebAssembly and Kubernetes. Methods for trusted data exchange between CPU and GPU (e.g. for AI) will also be investigated.
- You will build up hands-on experience by designing and prototyping open source distributed software solutions that offer various degrees of confidentiality and will evaluate the performance of these prototypes. IDLab’s iLab.t will provide the required confidential compute-capable backend hardware.
- You will work closely with industry partners and organizations such as the confidential computing consortium to ensure wide applicability, uptake and standardization of these solutions.
- You will apply your work to use-cases such as privacy-focussed analysis of sensitive health or financial information, trustworthy generation of environmental impact certificates, and transparent AI training and inference.
- You publish and present results both at international conferences and in scientific journals, using open science practices.
- This research will lead to a PhD degree. Throughout the complete PhD period, you receive a full-time, attractive salary.
Your profile
We are looking for candidates with the following qualifications and skills.
- You must have a Master’s degree in Computer Science Engineering, Master of Science in Information Engineering Technology, Master of Science in Computer Science, or a related field.
- You are technically proficient and have an affinity with virtualisation, container-based software and Kubernetes.
- Capable of rapidly absorbing knowledge about new software solutions, as the related field is moving at a fast pace (e.g. confidential compute solutions, WebAssembly, Kubernetes)
- Previous hands-on experience with containerised applications / Kubernetes / WebAssembly is a plus.
- You can plan and carry out your tasks in an independent way. You have strong analytical skills to interpret the obtained research results.
- You are a team player and have strong communication skills.
- You can commit to timing and milestones set forward by different research projects.
- Your English is fluent, both speaking and writing. Ideally you also speak Dutch (both speaking and writing) fluently
Our offer
We offer a full-time position as a doctoral fellow, consisting of an initial period of 12 months, which - after a positive evaluation, will be extended to a total maximum of 48 months and this in a challenging, stimulating and pleasant research environment, where you can contribute to the worldwide research on confidential computing for edge-based applications. The work is done in close collaboration with national and international industry players. You will join an enthusiastic team of researchers, post-docs and professors.
Your contract will start on Feb 1, 2025 at the earliest.
The fellowship amount is 100% of the net salary of an AAP member in equal family circumstances. The individual fellowship amount is determined by the Department of Personnel and Organization based on family status and seniority. A grant that meets the conditions and criteria of the regulations for doctoral fellowships is considered free of personal income tax. All Ghent University staff members enjoy a number of benefits, such as a wide range of training and education opportunities, 36 days of holiday leave (on an annual basis for a full-time job) supplemented by annual fixed bridge days, bicycle allowance and eco vouchers.
Interested?
Applicants should bundle the following
- Motivation letter
- Curriculum Vitae including scientific resume, academic results and relevant publications
- Two reference contacts
Send your application bundle to Prof. bruno.volckaert@ugent.be, indicating “Application: PhD position – cloud backend-based confidential computing” in the subject. Incomplete applications will not be considered. Selected candidates will be contacted for an interview (remote interview possible for international applicants).
