Scientist for machine learning synchrotron applications

Karlstad University; Grenoble; Sur place; EUR 40 000 - 60 000; Plein temps

Résumé du poste

A leading international research institute in Grenoble is seeking a Scientist for machine learning synchrotron applications. This role involves developing machine-learning algorithms for data acquisition in fields such as structural biology. Candidates should have a PhD and a minimum of 4 years' experience in deep-learning development. The position offers a competitive package and the opportunity to work with global experts in a vibrant city.

Prestations

Collaborate with global experts

Financial support for relocation

Live in a vibrant city

Qualifications

• PhD in a relevant field is required.
• At least 4 years of experience in deep-learning development.
• Strong programming skills required in Python.

Responsabilités

• Develop and deploy innovative machine-learning algorithms.
• Conduct original research in machine learning for synchrotron applications.
• Collaborate with scientists and engineers at ESRF.

Connaissances

Deep-learning development

Programming in Python

GPU programming (CUDA, OpenCL)

Good communication skills

Teamwork ability

Formation

PhD in Physics, Biology, Computer Science, or a related field

Description du poste

Scientist for machine learning synchrotron applications

The European Synchrotron, the ESRF, is an international research centre based in Grenoble, France. Through its innovative engineering, pioneering scientific vision and a strong commitment from its 700 staff members, the ESRF is recognised as one of the top research facilities worldwide. Its particle accelerator produces intense X‑ray beams that are used by thousands of scientists each year for experiments in diverse fields such as biology, medicine, environmental sciences, cultural heritage, materials science and physics.

Supported by 19 countries, the ESRF is an equal‑opportunity employer and encourages diversity. The Extremely Brilliant Source upgrade of the ESRF has led to a significant increase in data acquisition speed and the amount of data that must be processed and analysed by end users. It is therefore essential to provide advanced tools that enhance acquisition, data‑analysis strategies and provide online feedback during experiments.

We are looking to recruit a 5‑year scientist to work on machine‑learning developments for scattering/diffraction applications, notably (but not exclusively) for structural biology, where standardisation of techniques makes it a prime target for smarter automation to improve data quality and acquisition efficiency.

The work will take place in the Algorithms & Scientific Data Analysis group, in close collaboration with ESRF beamlines.

Responsibilities

• Development and deployment of innovative machine‑learning algorithms for data acquisition and online data processing in scattering/diffraction (notably structural biology) and tomography.
• Conduct an original research project exploiting machine learning for synchrotron applications with ESRF beamlines scientists.
• Work with scientists and engineers at ESRF and partner institutions to expand and disseminate knowledge about using ML for synchrotron applications.

Qualifications

• PhD in Physics, Biology, Computer Science, Science or a related field.
• At least 4 years of experience in deep‑learning development (including PhD years), ideally for synchrotron data analysis or similar.
• Strong programming skills in Python for experimental data analysis, including deep‑learning toolkits. GPU programming (CUDA, OpenCL) is a plus.
• Curiosity, good communication skills and teamwork ability to collaborate with engineers and scientists with diverse techniques and beamlines.
• Proficiency in English (working language at the ESRF).
• 5‑year fixed‑term contract.

What we offer

• Join an innovative international research institute, with a workforce from 38 different countries.
• Collaborate with global experts to advance science and address societal challenges.
• Live in a vibrant city in the heart of the Alps, Europe's Green Capital 2022.
• Enjoy a workplace designed to support your quality of life.
• Benefit from a competitive compensation and allowances package, including financial support for relocation to Grenoble.

ESRF is an equal‑opportunity employer and encourages applications from disabled persons.

Job details

Title: Scientist for machine learning synchrotron applications

Location: Grenoble, France

Contract: 5‑year fixed term

Salary: Calculated based on relevant qualifications and professional experience.