Job Reference
654_24_CASE_DT_R1
Position
PHD Student - HPC and ML in Electromagnetic modelling (R1) - AI4S
Closing Date
Wednesday, 02 October, 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, and is now the hosting entity for EuroHPC JU, which leads large-scale investments and HPC provision in Europe. The mission of BSC is to research, develop and manage information technologies 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.
We are particularly interested in 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 Dual-Use Technologies group opens a new R1 position to develop machine learning algorithms and artificial intelligence methods for improving the state-of-the-art codes in electromagnetic modelling with complex 3D geometries. The candidate should research potential AI strategies and implement, using an HPC approach, the most promising solutions to accelerate the different stages of the modelling within a Method of Moments context (e.g. radiation, aggregation, translation).
The project will be developed within the framework of the AI4Science Fellowships (AI4S), a talent attraction and retention program aimed at the convergence of HPC and AI. The programme aims to consolidate research lines on the intersection of AI for dual-use computational modelling, data analysis, data management and decision-making discoveries, leveraging computational capabilities and AI models and data. Considering the projects we are involved in, we have the possibility to match our project needs and candidate interests when deciding on the tasks to be carried out.
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 The PhD thesis will focus on the impact of HPC and AI in Electromagnetic simulations. Develop machine learning algorithms and artificial intelligence methods for improving the state-of-the-art codes in electromagnetic modelling with complex 3D geometries. Research potential AI strategies and implement, using an HPC approach, the most promising solutions to accelerate the different stages of the modelling within a Method of Moments context (e.g. radiation, aggregation, translation). Publication of the conducted work in peer-reviewed international journals and participation in international conferences and annual project meetings. Interaction with other researchers across different organizations. Requirements Education BSc and/or MSc in Engineering and/or Computing Essential Knowledge and Professional Experience 1-year of experience in similar topics will be highly appreciated. Additional Knowledge and Professional Experience Fluency in English is essential. Proficiency in Spanish and other European languages would be advantageous. Solid technical knowledge on Machine Learning methods (mainly supervised and unsupervised paradigms). Solid technical knowledge on computational mechanics: modelling, discretization methods and solvers. Competences Ability to work in a team and in a multi-cultural environment. Self-criticism and team player. Scientific writing. Conditions The position will be located at BSC within the CASE 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: R1 - PhD 1st and 2nd year: 25.000,00 € / R1 - PhD 3rd and 4th year: 30.000,00 €. 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.
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