Job Reference
655_24_CS_WDC_R2
Position
Postdoc on Parallel Machine Learning - AI4S (R2)
Closing Date
Monday, 30 September, 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.
We are particularly interested for this role in the strengths and lived experiences of women and underrepresented groups to help us avoid perpetuating biases and oversights in science and IT research. We promote Equity, Diversity and Inclusion, fostering an environment where each and every one of us is appreciated for who we are, regardless of our differences.
Context And Mission The Computer Sciences (CS) department of the Barcelona Supercomputing Center aims at carrying out research and development to influence the way computing machines are built, programmed and used. The Workflows and Distributed Computing group at the Barcelona Supercomputing Center aims at carrying out research on programming models for distributed computing. More specifically, this group is contributing to the artificial intelligence activities at BSC and has received grants in the AI4S program.
The group does research around the dislib machine learning library and the programming model PyCOMPSs/COMPSs. The dislib provides distributed algorithms ready to use as a library solving machine learning methods. The dislib is parallelized with PyCOMPSs/COMPSs. The researcher will work within a group of around 20 members at different levels of their career (from undergraduate students to senior researchers). The group is very active in EU and national projects to which the select candidate would be able to contribute.
Key Duties Research of new methods for the dislib and distributed training Research of the dislib data structures Research on generation of parallel applications through LLMs Management of the dislib code and its distribution Requirements Education
PhD in Computer Science or related Essential Knowledge and Professional Experience
Knowledge in Machine Learning Knowledge in Deep Learning Knowledge in parallel and distributed architectures and programming Additional Knowledge and Professional Experience
Knowledge in LLMs Competences
Fluency in spoken and written English, while fluency in other European languages will be also valued Conditions The position will be located at BSC within the Computer Sciences Department We offer a full-time contract (37.5h/week), a good working environment, a highly stimulating environment with state-of-the-art infrastructure, flexible working hours, extensive training plan, restaurant tickets, private health insurance Duration: 4 years Holidays: 23 paid vacation days plus 24th and 31st of December per our collective agreement Salary: 45.000,00€ Additional Expenses Grant: Each fellowship will be associated with a grant for additional expenses, such as IT equipment, travel, training, stays, etc. Starting date: asap - the incorporation for this vacancy must be before the 16th of December 2024 Applications procedure and process All applications must be submitted via the BSC website and contain:
A full CV in English, including contact details. A cover/motivation letter with a statement of interest in English, clearly specifying for which specific area and topics the applicant wishes to be considered. Additionally, two references for further contacts must be included. Applications without this document will not be considered. Development of the recruitment process The selection will be carried out through a competitive examination system. The recruitment process consists of two phases:
Curriculum Analysis: Evaluation of previous experience and/or scientific history, degree, training, and other professional information relevant to the position. Interview phase: The highest-rated candidates at the curriculum level will be invited to the interview phase, conducted by the corresponding department and Human Resources. 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). This is applied for any potential candidate in all our processes.
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