Research Engineer – Ai4S

Job Reference680_24_CS_HPAI_RE2PositionResearch Engineer – AI4S (RE2)Closing DateMonday, 07 October, 2024Reference: 680_24_CS_HPAI_RE2Job title: Research Engineer – AI4S (RE2)About BSCThe Barcelona Supercomputing Center - Centro Nacional de Supercomputación (BSC-CNS) is the leading supercomputing center in Spain.
It houses Mare Nostrum, 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 Euro HPC 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 You Tube ChannelLet's stay connected with BSC Folks!We are particularly interested for this role 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.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 MissionHigh-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.For more information, please check: https://www.Bsc.Es/join-us/excellence-career-opportunities/ai4sKey DutiesDo research in the field of explainability of AI systemsInvestigate and design methods and models for explainable and interpretable AIDesign and lead the experiments for model testing applied to real systems and use cases, such as virtual or physical agents or decision-support systemsImplement reliable, reproducible and automated training and evaluation methodologiesLead the efforts in integrating and exploiting the work done in other HPAI projects where it may be applicableDocument and disseminate the work doneRequirements- 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 environmentsConditionsThe position will be located at BSC within the Computer Sciences DepartmentWe 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 insuranceDuration: 4 yearsHolidays: 23 paid vacation days plus 24th and 31st of December per our collective agreementSalary: 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 2024Applications procedure and processAll 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 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 points- 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.
In this phase, technical competencies, knowledge, skills, and professional experience related to the position, as well as the required personal competencies, 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.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.
At a minimum, a personality questionnaire as well as a technical exercise will be conducted during the process.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.DeadlineThe 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 processesBSC-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, for example by creating gender-balanced recruitment panels and recognizing career breaks etc.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.For more information follow this link