RESEARCHER - ADAPTIVE MESH REFINEMENT FOR WIND FARM SIMULATION (RE3_T1) - AI4S

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 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.
Context And Mission CASE department mission is to develop scientific and engineering software to efficiently exploit super-computing capabilities (biomedical, geophysics, atmospheric, energy, social and economic simulations).
The position is for the Physical and Numerical Modelling (PNM) group of this department.
On one hand, the group engages in both transversal and vertical (applied) activities.
We are primarily responsible for the development and maintenance of the Alya multi-physics and high-performance computing simulation code.
On the other hand, one of the focus of our applied research is the energy sector.
The Physical and Numerical Modelling group from the CASE department at BSC-CNS is seeking a highly motivated researcher to join our team.
The focus will be on advancing the meshing kernel of the wind farm simulation pipeline in our in-house solver, Alya, through mesh optimization and adaptation techniques enhanced by machine learning tools.
All the algorithms will be implemented in a massively parallel context.
The successful candidate must hold a Ph.
.
in Applied Mathematics, with strong expertise in mesh generation, particularly for wind farm simulations and curved high-order meshing.
A robust background in mesh generation is mandatory, primarily in mesh optimization and mesh adaptation.
Prior experience developing meshing environments for wind farms and complex topographies is necessary.
Key responsibilities include developing an adaptive simulation framework in Alya, contribute to the existing meshing tools for wind farms, integrating machine learning models to enhance the simulation pipeline, and collaborating with a multidisciplinary team to validate new approaches.
Proficiency in Fortran is required, and experience with other programming languages such as Matlab, Julia, Python, or C++ is a plus.
In addition, given our group’s environment with many students, previous teaching experience in undergraduate/master courses and a background in advising PhD theses are highly valued.
The candidate will be expected to mentor students, contribute to their academic growth, and possibly participate in teaching and transfer activities within the department.
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.
s 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.
sc.
s/join-us/excellence-career-opportunities/ai4s "La financiación de estas actuaciones/becas y contratos, procede del Mecanismo de Recuperación y Resiliencia de la Unión Europea-Next Generation, en el marco de la Invitación General de la entidad pública empresarial Red.
s para participar en los programas de atracción y retención del talento dentro de la Inversión 4 del Componente 19 del Plan de Recuperación, Transformación y Resiliencia.
Para más información.
https://www.
sc.
s/join-us/excellence-career-opportunities/ai4s " Key Duties Develop Error Estimation techniques for Mesh Adaptation, with a focus on optimizing accuracy and efficiency in wind farm simulations, ensuring high-quality results in complex fluid dynamics and turbulence scenarios.
Implement Adaptive Mesh Refinement (AMR) in Alya using a Continuous Integration/Continuous Deployment (CI/CD) approach to ensure robust, automated testing and flawless integration of new features, enhancing the solver's performance in various simulation scenarios.
Advance the meshing kernel in Alya, including the simplicial adaptation framework and the mesh optimization tool.
Develop an adaptive simulation framework in Alya, and develop a tailored version for wind farm simulations.
Contribute to the Code Documentation and Maintenance, ensuring a comprehensive and clear documentation of all developed algorithms and simulation frameworks within Alya, adhering to best practices to support maintainability, collaboration, and effective knowledge transfer within the team.
Contribute to the verification and validation (V&V) of the simulation models within the Alya solver.
This includes ensuring that the meshing algorithms, simulation frameworks, and machine learning models are rigorously tested and validated against real-world data and industry benchmarks.
Mentor bachelor, master and PhD students, contribute to their academic growth, and possibly participate in teaching and transfer activities Work with a multidisciplinary Alya team to validate new approaches and contribute to the group's applied research, particularly in the wind and energy forecasting applications.
Requirements Education PhD in Applied Mathematics Essential Knowledge and Professional Experience Proficiency in Fortran programming language.
Extensive experience in high-performance computing (HPC) and parallelization techniques, including MPI and OpenMP.
Strong background in performance analysis and optimization of computational processes.
Expertise in Computational Fluid Dynamics (CFD) and its applications.
The candidate must have previous experience leading research projects and supervising students to ensure effective project management and mentorship within the research team Additional Knowledge and Professional Experience Fluency in English is essential.
Proficiency in Spanish and other European languages would be advantageous.
Competences Ability to work in a team and in a multi-cultural environment.
Conditions The position will be located at BSC within the CASE Department We offer a full-time contract (37.
h/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.
€ 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 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 This position is reserved for candidates who meet the requirements and have the legal status of disabled persons with a degree of disability equal to or greater than 33%.
In case there are no applicants with disabilities that meet the requirements, the rest of the candidates without declared disability will be evaluated.