SENIOR RESEARCHER SPECIALIZED IN MULTIDISCIPLINARY ANALYSIS DESIGN OPTIMIZATION (MDAO) - (R3)

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.
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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 is opening a position for a Senior Researcher (R3) specialized in Multidisciplinary Analysis Design Optimization (MDAO), Aeroelasticity and Optimal integration of Novel Aerospace Technologies.
The successful candidate will lead and execute cutting-edge projects integrating multidisciplinary optimization techniques with novel aerospace technologies, such as electric and hydrogen-powered aircraft.
This position will be central to advancing our MDAO portfolio within a cutting-edge supercomputing environment, applying state-of-the-art strategies for complex aeroelastic and multidisciplinary analysis and optimization.
Key Duties   Lead the development and application of advanced MDO frameworks to aerospace projects, emphasizing innovation and sustainability.
Develop and deploy computational methodologies integrating machine learning and optimization techniques.
Provide technical leadership within collaborative European and industrial research projects.
Actively participate in research dissemination through publications, conferences, and project meetings.
Mentor junior researchers and contribute to the academic environment of BSC.
Requirements   Education Doctoral Degree in Aerospace Engineering or a similar related field, supported by a strong record of research and professional achievements.
Essential Knowledge and Professional Experience Minimum of ten years of experience in aeroelasticity and/or Multidisciplinary Design Analysis and Optimization (MDAO).
Demonstrated leadership in MDAO and aeroelasticity within European and national research initiatives, as well as private sector projects funded by major national and international aerospace companies.
Established track record of scientific dissemination through publications in high-impact aerospace journals and regular participation in international conferences, including as an invited or keynote speaker.
Proven expertise in the development of MDAO and aeroelastic tools aligned with state-of-the-art methodologies and standards.
Significant experience in aircraft design with a focus on MDAO and aeroelastic integration.
Additional Knowledge and Professional Experience Strong academic engagement, with experience delivering lectures or courses on MDAO, aircraft design, and/or aeroelasticity.
Proficiency in Fortran or C/C++ is considered an asset.
Demonstrated contribution to knowledge transfer in the aerospace sector, including through patented innovations.
Demonstrated expertise in developing automated workflows that connect parametric geometry definitions to disciplinary solvers, leveraging geometric kernels and mesh generation tools.
Proven experience in designing software capable of computing sensitivities using advanced techniques such as adjoint methods and algorithmic differentiation and integrating these capabilities into multidisciplinary optimization frameworks.
Excellent command of English, both written and spoken.
Competences Leadership in managing and developing the MDAO research line Leadership in proposal writing and project management Self-criticism and teamwork abilities Curiosity and openness to multidisciplinary aerospace and non-aerospace systems   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, support to the relocation procedures Duration.
Open-ended contract due to technical and scientific activities linked to the project and budget duration Holidays.
23 paid vacation days plus 24th and 31st of December per our collective agreement Salary.
we offer a competitive salary commensurate with the qualifications and experience of the candidate and according to the cost of living in Barcelona Starting date.
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.
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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.
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