(Lps-869) - Established Researcher - Advanced Methods For

(Lps-869) - Established Researcher - Advanced Methods For
Empresa:

Importante Grupo


Detalles de la oferta

Job Reference: 593_24_CASE_WP_R3
Position: Established researcher - Advanced methods for electromagnetic wave modelling and detection methods (R3) - AI4S
Closing Date: Monday, 30 September, 2024
Job title: Established researcher - Advanced methods for electromagnetic wave modelling and detection methods (R3) - 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, and is now the 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.
Context And Mission: 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.
Key DutiesLead and maintain EM development and innovation, in coordination with researchers within the CASE department.Participate in collaborations with academia and industry towards novel EM solutions.RequirementsEducation: MSc in STEM and PhD in Physics, Engineering or similar.Essential Knowledge and Professional Experience: At least 2 years experience in EM R&D either in academia or industry; some experience in EM software development beyond the prototype stage.Additional Knowledge and Professional Experience: Experience in ML/AI methods applied to full wavefield simulations; experience in participating and reporting for R&D projects.Competences: Fluent in English; good communication skills both oral and written; programming skills in C and/or Python at least.ConditionsThe 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: 55,000.00€.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 processA 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 processThe 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 pointsThe recruitment panel will be composed of at least three people, ensuring at least 25% representation of women. 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.
Deadline: OTM-R principles for selection processes. 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 statute.

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Fuente: Jobleads

Requisitos

(Lps-869) - Established Researcher - Advanced Methods For
Empresa:

Importante Grupo


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