The Ecole polytechnique fédérale de Lausanne (EPFL) is one of the most dynamic university campuses in Europe and ranks among the top 20 universities worldwide. The EPFL employs 6,000 people supporting the three main missions of the institutions: education, research and innovation. The EPFL campus offers an exceptional working environment at the heart of a community of 16,000 people, including over 10,000 students and 3,500 researchers from 120 different countries.
Privacy and Security Expert
Your mission :
EPFL and ETH Zurich are seeking enthusiastic and experienced candidates with scientific IT expertise and a proven track record in and around data centric security on large-scale distributed platforms, services and applications, to staff up their national R&D Swiss Data Science Center. The ideal candidate will join a team of computer scientists toward building the Swiss Data Custodian, a secure multiparty privacy-preserving computing platform. In this role, you will help in the design and participate in the implementation of the solution. Main duties and responsibilities include :
Liaise with academic and industry partners to gather requirements.
Design, develop and set up a novel multiparty privacy-preserving computing platform, using state of the art security and privacy-preserving methods and technologies.
Your profile :
Have a Master degree in computer science or a related discipline such as privacy and secure systems. PhD degree is a plus.
Have a proven track record of crafting innovative and elegant software solutions, and can demonstrate advanced skills in several programming languages, such as Golang, or C/C++.
Have previous experience applying best practices in computer security and privacy-preserving systems, to real world problems. Knowledge of standards protocols such as OAuth2, OpenID connect, TLS, key-exchange protocols or related standards are highly desirable.
Are willing to explore and learn novel technologies, and put them in practice in uncharted territories,
Are familiar with software development best practices, such as agile software development, git and CI/CD.
Are well versed in the Linux operating system. Experience with cloud technology is a plus.
Work well in a cross-functional environment and excel in communicating with your peers.
Have excellent command of the English language, both verbal and written. Good working knowledge of French or German, are highly recommended.
About us
The Swiss Data Science Center (SDSC, datascience.ch) is a national center between EPFL and ETH Zurich, whose mission is to accelerate the use of data science and machine learning techniques broadly within academic disciplines of the ETH Domain and the Swiss academic community at large. It aims to federate data providers, data and computer scientists, and subject-matter experts around a cutting-edge data marketplace platform offering domain-specific “Insights-as-a-Service” while addressing security and privacy issues inherent to the field of data science. The SDSC is composed of a large multi-disciplinary team of data & computer scientists and experts in relevant domains, distributed between our offices in Lausanne and Zurich. The unique synergy that the center enables among the institutions of the ETH Domain and between academic and industrial stakeholders in both data science and across carefully selected domains is expected to foster scientific breakthroughs with significant societal impact.
Applications via email or postal services will not be considered.
We offer :
A stimulating, startup-like, cross-disciplinary environment in a leading university.
Opportunities for turning academic research into impactful solutions.
Excellent ties to research groups worldwide, both academic and industrial.
Access to state-of-the-art infrastructure and resources.
Start date :
As soon as possible Term of employment :
Fixed-term (CDD) Work rate :
100% Duration :
CDD - 1 year renewable Remark :
Only candidates who applied through EPFL website or our partner Jobup’s website will be considered.apply online
