Are you a Data Scientist interested in deploying your skills in machine learning algorithms? How about working with:
• Machine learning experiments using programming languages like Python along with libraries such as TensorFlow, PyTorch, or scikit-learn;
• Writing and implementing SOTA machine learning algorithms;
• Developing federated learning software and algorithms;
• Implementing differential privacy and homomorphic encryption;
• Ensuring efficient data flow between databases and backend systems to support machine learning initiatives, using tools like Apache Spark;
• Analyzing data to identify new use cases and derive actionable insights, employing statistical analysis, visualization for exploratory data analysis (EDA);
• Developing solutions for anomaly detection and predictive maintenance.
More information here: https://cafein.web.cern.ch
Who we are looking for
Eligibility criteria:
Job closing date: 29 August 2024 at 23h59 CEST
Job reference: TE-CRG-GLO-2024-138-GRAP
Contract duration: 24 months, with a possible extension up to 36 months maximum.
Target start date: 01-October-2024
What we offer
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.