Job Description
Would you be willing become a key player in a novel AI-based tool to assist clinicians, patients and caregivers in the analysis, diagnosis and prognosis of diseases based on the integration of clinical and patient data over a Federated Learning (FL) infrastructure developed and hosted by CERN?
Your responsibilities
The Data and Image Analysis team in the Technology Department develops machine learning algorithms for particle physics accelerators infrastructure data analysis - to improve performances and provide robust modelling - as well as centralised and decentralised federated learning and distributed computing to provide robust, efficient and privacy preserving models for medical applications.
You will work on several projects to develop novel machine learning tools for anomaly detection, prescriptive maintenance, complex process simulations via GNN and algorithms for medical applications.
Furthermore, you will participate in an international collaboration to develop, deploy and operate a Federated Learning infrastructure hosted by CERN to enable multiple clinical and research infrastructure sites to collaboratively build trustworthy AI based predictive models to assist clinicians, patients and caregivers in the management of acute and chronic phases if ischemic stroke.
More information here: CAFEIN - Federated network platform for the development and deployment of AI based analysis and prediction models
Your profile
Skills and/or knowledge
Expert knowledge of common deep learning framewoks (e.g. Tensorflow, Keras, Pytorch) and programming techniques and languages: Python, SQL, C and Java.Fluent in English, the ability to work in French would be an advantage.Eligibility criteria:
You are a national of a CERN Member or Associate Member State.You have a professional background in Computer Science (or a related field) and have either: a Master's degree with 2 to 6 years of post-graduation professional experience;or a PhD with no more than 3 years of post-graduation professional experience.You have never had a fellow or graduate contract before.Additional Information
Job closing date: 16.07.2023 at 12:00 AM (midnight) CET.
Job reference: TE-CRG-GLO-2023-19-GRAP
Contract duration: 24 months, with a possible extension up to 36 months maximum.
Target start date: 01-December-2023
What we offer
A monthly stipend ranging between 6194 and 6808 Swiss Francs per month (net of tax).Coverage by CERN's comprehensive health scheme (for yourself, your spouse and children), and membership of the CERN Pension Fund.Depending on your individual circumstances: installation grant; family, child and infant allowances; payment of travel expenses at the beginning and end of contract.30 days of paid leave per year.On-the-job and formal training at CERN as well as in-house language courses for English and/or French.
About us
At CERN, the European Organization for Nuclear Research, physicists and engineers are probing the fundamental structure of the universe. Using the world's largest and most complex scientific instruments, they study the basic constituents of matter - fundamental particles that are made to collide together at close to the speed of light. The process gives physicists clues about how particles interact, and provides insights into the fundamental laws of nature. Find out more on http://home.cern.
We are on a Quest. A Journey into discovery like no other. Bring your expertise to our unique work and develop your knowledge and skills at pace. Join world-class subject matter experts on unique projects, in a Quest for greater knowledge and deeper understanding.
Begin your CERN Quest. Take Part!
Diversity has been an integral part of CERN's mission since its foundation and is an established value of the Organization. Employing a diverse workforce is central to our success.