Research Engineer
hace 3 meses
**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, 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 1000 staff from 60 countries.
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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.**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.
One of our main lines of research is on the interpretability and explainability of artificial intelligence systems, especially in those cases where such systems can be used in decision-making processes that may impact humans. This entails ethical and social implications that need to be addressed, and examples of this kind of systems include virtual or physical agents that must collaborate with humans or those used as an aid for diagnostics, i.e. in medicine. The main objective of this vacancy is to conduct research on the inherent interpretability and explainability of the models used in these systems, as well as the possible mechanisms that can be integrated into the models in order to increase trustworthiness via a explainable-by-design approach. The methods to be explored and applied are multidisciplinary, including (but not limited to) formal logics, epistemology, causal theory, computational linguistics and machine learning, and the types of AI models to study may include (but are not limited to) agents, multi-agent systems, large language models, and decision-support systems.
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 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, such as virtual or physical agents or decision-support systems
- Implement reliable, reproducible and automated training and evaluation methodologies
- Lead the efforts in integrating and exploiting the work done in other HPAI projects where it may be applicable
- Document and disseminate the work done
**Requirements**:
- Education
- Degree in STEM, preferrably 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 pair-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 English and Spanish are a must. 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, 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: 42.000,00€
- 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 be
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