Scientist for machine learning synchrotron applications
il y a 5 jours
Scientist for Machine Learning Synchrotron Applications Join to apply for the Scientist for Machine Learning Synchrotron Applications role at ESRF – The European Synchrotron 1 day ago – Be among the first 25 applicants. Context &Job Description The Extremely Brilliant Source upgrade of the ESRF has led to a significant increase in the acquisition speed and the amount of data that must be processed and analysed by end users. It is therefore essential to provide advanced tools to enhance acquisition and data analysis strategies, and provide online (live during experiments) feedback to ESRF users. 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. Further information can be obtained from Vincent Favre‑Nicolin (favre@esrf.fr). Your Missions Include The development and deployment of innovative machine‑learning based 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 with partner institutions to expand and disseminate knowledge about the use of ML for synchrotron applications. Expected Profile PhD degree in Physics, Biology, Computer Science, or a similar area. At least 4 years of experience in machine (deep) learning developments (including PhD years), ideally for synchrotron data analysis or similar. Strong programming skills in Python for experimental data analysis, including usual deep learning toolkits. GPU programming (CUDA, OpenCL) is a plus. Curiosity, good communication skills, and a team player attitude are required, to work with engineers and scientists across different techniques and beamlines. Proficiency in English (working language at the ESRF). Working Conditions 5‑year fixed‑term contract. The salary will be calculated on the basis of relevant qualifications and professional experience. 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, and 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. For further information on employment terms and conditions, please refer to https://www.esrf.fr/home/Jobs/what-we-offer.html ESRF is an equal‑opportunity employer and encourages applications from disabled persons. Company Description The European Synchrotron Radiation Facility (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, ESRF is recognised as one of the top research facilities worldwide. Its particle accelerator produces intense X‑ray beams 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, ESRF is an equal‑opportunity employer and encourages diversity. #J-18808-Ljbffr
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Scientist for machine learning synchrotron applications
il y a 5 jours
Grenoble, France Karlstad University Temps pleinScientist 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...
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