Job Reference
680_24_CS_HPAI_RE2
Position
Research Engineer – AI4S (RE2)
Closing Date
Monday, 07 October, 2024
Reference: 680_24_CS_HPAI_RE2
Job title: Research Engineer – AI4S (RE2)
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 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 to facilitate scientific progress. BSC combines HPC service provision and R&D into both computer and computational science under one roof, and currently has over 1000 staff from 60 countries.
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
High-Performance Artificial Intelligence (HPAI) is an international and diverse research group that is at the forefront of innovation. HPAI conducts fundamental and responsible research in AI, ensuring that our work is always ethical and trustworthy.
The main objective of this vacancy is to conduct research on the inherent interpretability and explainability of the models used in AI systems, as well as the possible mechanisms that can be integrated into the models to increase trustworthiness via an explainable-by-design approach. The methods to be explored and applied are multidisciplinary, including formal logics, epistemology, causal theory, computational linguistics, and machine learning.
The funding for these actions comes from the European Union Recovery and Resilience Facility - Next Generation.
Key Duties Do research in the field of explainability of AI systems Investigate and design methods and models for explainable and interpretable AI Design and lead the experiments for model testing applied to real systems and use cases Implement reliable, reproducible, and automated training and evaluation methodologies Lead the efforts in integrating and exploiting the work done in other HPAI projects Document and disseminate the work done Requirements Education
Degree in STEM, preferably MSc in Artificial Intelligence or similar Essential Knowledge and Professional Experience
Experience in a research-oriented position (one year minimum) Experience in writing scientific papers (one peer-reviewed paper or a research-oriented MSc thesis minimum) Experience in explainable AI (one year minimum) Experience in reinforcement learning (six months minimum) Experience in intelligent agent architectures (six months minimum) Additional Knowledge and Professional Experience
Fluent in English and Spanish; Catalan is desirable Mathematical and formal logics background is desirable Competences
Ability to work in multidisciplinary environments Conditions The position will be located at BSC within the Computer Sciences Department We offer a full-time contract (37.5h/week), a good working environment, flexible working hours, and private health insurance Duration: 4 years Holidays: 23 paid vacation days Salary: 42.000,00€ Additional Expenses Grant: Associated with a grant for additional expenses, such as IT equipment, travel, training, etc. Starting date: ASAP - incorporation 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 the area and topics for which the applicant wishes to 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. - 40 points Interview phase: The highest-rated candidates 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 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.
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.
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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