Job Reference
655_24_CS_WDC_R2
Position
Postdoc on Parallel Machine Learning - AI4S (R2)
Closing Date
Monday, 30 September, 2024
Reference: 655_24_CS_WDC_R2
Job title: Postdoc on Parallel Machine Learning - AI4S (R2)
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, was a founding and hosting member of the former European HPC infrastructure PRACE (Partnership for Advanced Computing in Europe), and is now hosting entity for EuroHPC JU, the Joint Undertaking that leads large-scale investments and HPC provision 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 (life, earth and engineering sciences) under one roof, and currently has over 1000 staff from 60 countries.
Look at the BSC experience:
BSC-CNS YouTube Channel
Let's stay connected with BSC Folks!
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. In instances of equal merit, the incorporation of the under-represented sex will be favoured.
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.
If you consider that you do not meet all the requirements, we encourage you to continue applying for the job offer. We value diversity of experiences and skills, and you could bring unique perspectives to our team.
Look at the BSC experience:
BSC-CNS YouTube Channel
Let's stay connected with BSC Folks!
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. In instances of equal merit, the incorporation of the under-represented sex will be favoured.
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.
If you consider that you do not meet all the requirements, we encourage you to continue applying for the job offer. We value diversity of experiences and skills, and you could bring unique perspectives to our team.
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 (dislib.bsc.es) provides distributed algorithms ready to use as a library solving machine learning methods. The dislib is parallelized with PyCOMPSs/COMPSs (compss.bsc.es). PyCOMPSs/COMPSs is a task-based programming model that aims at making easier the parallelization of applications and their execution in distributed computing platforms. For this research, the group is looking for a postdoc with knowledge both of machine learning and computer science to contribute to the dislib.
New research activities that are considered are the development of new methods for the dislib, new data structures or extension of existing ones, distribution of training using existing libraries (for example, for PyTorch) and automatic generation of parallel applications with LLMs. The research will consider how these codes perform in the new processor architectures designed at BSC based on RISC-V and vector acceleration.
The researcher will work within a group of around 20 members at different levels of their carrier (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.
The funding for these actions/fellowships and contracts comes from the European Union Recovery and Resilience Facility - Next Generation, within the framework of the General Invitation by the public business entity Red.es to participate in the talent attraction and retention programs within Investment 4 of Component 19 of the Recovery, Transformation, and Resilience Plan.
For more information, please check: https://www.bsc.es/join-us/excellence-career-opportunities/ai4s
The group does research around the dislib machine learning library and the programming model PyCOMPSs/COMPSs. The dislib (dislib.bsc.es) provides distributed algorithms ready to use as a library solving machine learning methods. The dislib is parallelized with PyCOMPSs/COMPSs (compss.bsc.es). PyCOMPSs/COMPSs is a task-based programming model that aims at making easier the parallelization of applications and their execution in distributed computing platforms. For this research, the group is looking for a postdoc with knowledge both of machine learning and computer science to contribute to the dislib.
New research activities that are considered are the development of new methods for the dislib, new data structures or extension of existing ones, distribution of training using existing libraries (for example, for PyTorch) and automatic generation of parallel applications with LLMs. The research will consider how these codes perform in the new processor architectures designed at BSC based on RISC-V and vector acceleration.
The researcher will work within a group of around 20 members at different levels of their carrier (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.
The funding for these actions/fellowships and contracts comes from the European Union Recovery and Resilience Facility - Next Generation, within the framework of the General Invitation by the public business entity Red.es to participate in the talent attraction and retention programs within Investment 4 of Component 19 of the Recovery, Transformation, and Resilience Plan.
For more information, please check: https://www.bsc.es/join-us/excellence-career-opportunities/ai4s
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 ("Concurso-Oposición"). 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. - 40 points
- 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. In this phase, technical competencies, knowledge, skills, and professional experience related to the position, as well as the required personal competencies, will be evaluated. - 60 points. A minimum of 30 points out of 60 must be obtained to be eligible for the position.
The recruitment panel will be composed of at least three people, ensuring at least 25% representation of women.
In accordance with OTM-R principles, a gender-balanced recruitment panel is formed for each vacancy at the beginning of the process. After reviewing the content of the applications, the panel will begin the interviews, with at least one technical and one administrative interview. At a minimum, a personality questionnaire as well as a technical exercise will be conducted during the process.
The panel will make a final decision, and all individuals who participated in the interview phase will receive feedback with details on the acceptance or rejection of their profile.
At BSC, we seek continuous improvement in our recruitment processes. For any suggestions or comments/complaints about our recruitment processes, please contact recruitment [at] bsc [dot] es.
For more information, please follow this link.
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, for example by creating gender-balanced recruitment panels and recognizing career breaks etc.
BSC-CNS is an equal opportunity employer committed to diversity and inclusion. We are pleased to consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or any other basis protected by applicable state or local law.
For more information follow this link
BSC-CNS is an equal opportunity employer committed to diversity and inclusion. We are pleased to consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or any other basis protected by applicable state or local law.
For more information follow this link