Researcher in high-order methods (R2) - AI4S
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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 committed to research, development, and management of information technologies to facilitate scientific progress.
We are particularly interested 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.
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 Geometry and Meshing for Simulation group at the CASE department is looking for an R2 Researcher in high-order methods in the context of Artificial Intelligence for Science (AI4Science). The candidate must have experience in computational methods as well as in the development of software prototypes that implement the research methods.
Key Duties
- Research on high-order methods in the context of AI for Science
- Research on discontinuous Galerkin methods
- Research on boundary unfitted methods or boundary fitted methods
- Help with the supervision of students
- Implementation of prototypes
Requirements
- Education
- PhD in Applied Mathematics
- Higher University Degree in Mathematics or equivalent
- Essential Knowledge and Professional Experience
- Proven experience in high-order methods
- Proven experience in boundary unfitted or boundary fitted methods
- Experience in the development of scientific software
- Additional Knowledge and Professional Experience
- Fluent in English and Spanish
- Strong background in numerical methods and partial differential equations
- Julia, C, C++, Matlab, Python
- Experience with unstructured methods and visualization tools
- Publication record in high-order methods and computational methods
- Competences
- Ability to work in a team and in a multi-cultural environment.
- Excellent written and verbal communication skills
- Capacity to interact and build strong relations with diverse members/stakeholders/staff base
- Ability to work both independently and within a team
Conditions
- The position will be located at BSC within the XXXXXXX 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. 00, 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. 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.
- 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.
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.
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.
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