Research Engineer

hace 2 meses


Barcelona, España Barcelona Supercomputing Center (BSC) A tiempo completo

**Job Reference**:

- 659_24_CS_HPAI_RE2**Position**:

- Research Engineer - Agent-based models for explainability - AI4S (RE2)**Closing Date**:

- Monday, 30 September, 2024**Reference**: 659_24_CS_HPAI_RE2**Job title**: Research Engineer - Agent-based models for explainability - 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.

Look at the BSC experience:
BSC-CNS YouTube Channel
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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.

We are currently conducting research on analysing and explaining the behaviour of opaque (non-transparent or black-box) Artificial Intelligence agents, including agents based on reinforcement learning, logic-symbolic formalisms or large language models. The main objective is to produce novel models for the generation of telic explanations that allow research practitioners and end users to understand the behaviour of virtual and physical agents, predict their expected actions and trust their behaviour. The methods to be explored are multidisciplinary, including (but not limited to) formal logics, epistemology, causal theory, computational linguistics and machine learning.

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 telic explainability of opaque agents
- Conduct the design and training of models for explainable AI
- Design and lead the experiments of the models with virtual or physical agents
- 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
- Essential Knowledge and Professional Experience
- Experience in a research-oriented position (one year minimum)
- Experience in writing scientific papers (one pair-reviewed paper minimum)
- Experience in explainable AI, esp. focused on agents (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 before the 16th of December 2024

**Applications procedure and process**
- 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


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