Job Reference
791_24_CASE_PTG_R2
Position
Researcher - Machine Learning models for the prediction of physicochemical properties of sustainable transportation fuels (R2)
Closing Date
Thursday, 21 November, 2024
About BSC
The Barcelona Supercomputing Center - Centro Nacional de Supercomputación (BSC-CNS) is the leading supercomputing center in Spain. It houses MareNostrum, one of the most powerful supercomputers in Europe. The mission of BSC is to research, develop and manage information technologies in order to facilitate scientific progress. BSC combines HPC service provision and R&D into both computer and computational science under one roof, and currently has over 1000 staff from 60 countries.
Context And Mission
Nowadays considerable effort is put on making renewable energies a practical technology in the transportation sector. The applicant will lead the development and implementation of a ML algorithm for the prediction of fuel mixture properties, aiming at efficiently predicting fuel properties for common gasoline-oxygenated fuels and kerosene mixtures.
Key Duties Collaborate with the different partners of the projects to carry out collaborative research. Lead the development and implementation of AI/ML methods for the calculation of fuel properties. Define the input/output structure of the proposed network and of the associated database. Identify physical laws and correlations for the mentioned target properties. Requirements Education
The candidate should hold a PhD Degree in Computer Science, Physics, Mechanical Engineering, or Aerospace. A solid background in data-driven methods and Artificial Intelligence is required. Essential Knowledge and Professional Experience
Knowledge of fluid mechanics and thermodynamics are expected. Additional Knowledge and Professional Experience
General knowledge on computer science and programming languages such as Fortran, Python, C, and C++ will be considered an asset. Fluency in English is essential, Spanish is welcome. Background in computer science, GPU programming and HPC with specific focus on Python programming will be considered an asset. Competences
Strong analytical skills. Ability to work independently and within a team. Good communication and teamwork skills to work in a multidisciplinary team. Conditions The position will be located at BSC within the CASE Department. We offer a full-time contract (37.5h/week), flexible working hours, and a competitive salary. Duration: Open-ended contract linked to the project and budget duration. Holidays: 23 paid vacation days plus 24th and 31st of December. Starting date: 01/12/2024. Applications procedure and process
All applications must be made through BSC website and contain:
A full CV in English including contact details. A Cover Letter with a statement of interest in English, including two contacts for further references. Deadline
The vacancy will remain open until a suitable candidate has been hired. Applications will be regularly reviewed and potential candidates will be contacted.
OTM-R principles for selection processes
BSC-CNS is committed to the principles of the Code of Conduct for the Recruitment of Researchers of the European Commission and the Open, Transparent and Merit-based Recruitment principles (OTM-R).
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