Description
The AI4S aims to strengthen existing research lines (Departments of CS, LS, ES, and CASE), and promote the AI Institute, as described in the Program's objectives. To this end, the BSC aims to attract or retain 158 fellows who will be employed full-time for the four years of the program.
Through this program, the BSC-CNS will offer 158 four-year fellowships to highly qualified scientific and research personnel, providing them with all the necessary tools to develop their potential, deepen their skills and knowledge in a stimulating, international, and interdisciplinary environment. Fellows will also have access to a wide range of courses, in collaboration with various units of the center, to facilitate high-quality research and the acquisition of technical, personal, leadership, communication, and team management skills.
- Remuneration: Remuneration will be established according to the program's salary tables and specified transparently in each published vacancy.
- Additional Expenses Grant: Each fellowship will be associated with a grant for additional expenses, such as IT equipment, travel, training, stays, etc.
- Work Schedule: Full-time (37.5 hours per week). Part-time positions will not be considered.
- Contract: 4 years.
- Start Date: Due to the nature of the BSC AI 4 Science Fellowships (AI4S), all successful candidates must be incorporated before 31/12/2024.
AI4S Vacancies
Open Vacancies:
Disclaimer: The vacancies will remain open until the indicated deadline. If you are unable to access the link for a vacancy, it is possible that we are no longer accepting applications for that position.
Computer Sciences:
- Research Engineer - AI4S - LLMs for Chip Design (RE1)
- Research Engineer - AI4S - LLMs for Code Parallelization (RE2)
- Research Engineer - AI4S - LLMs for Chip Design (RE2)
- Researcher - AI4S - LLMs for Code Parallelization (R3)
- Research Engineer on AI HW/SW for Edge AI systems - AI4S (RE3)
- Research Engineer on Diverse Redundancy for AI - AI4S (RE3)
- PostDoc on AI modelization for Edge AI systems - AI4S (R3)
- Research Engineer - Foundational Models - AI4S (RE2)
- Researcher - AI-based Edge-to-Cloud computing continuum solutions - AI4S (R2)
Life Sciences:
- Engineering Manager Speech and Speaker Technologies (RE3) - AI4S
- Postdoctoral Researcher - AI/ML in specific research lines in Life Sciences (R2) - AI4S
- Postdoctoral Researcher - AI/ML in specific research lines in Life Sciences (R2) - AI4S
- Postdoctoral Researcher - AI/ML in specific research lines in Life Sciences (R2) - AI4S
- Postdoctoral Researcher - AI/ML in specific research lines in Life Sciences (R3) - AI4S
- Postdoctoral Researcher - AI/ML in specific research lines in Life Sciences (R3) - AI4S
- Postdoctoral Researcher - AI/ML in specific research lines in Life Sciences (R3) - AI4S
- Postdoctoral Researcher - AI/ML in specific research lines in Life Sciences (R3) - AI4S
- Postdoctoral Researcher - AI/ML in specific research lines in Life Sciences (R3) - AI4S
- Postdoctoral Researcher AI and integrative methods for comparative genomics and metagenomics (R2) - AI4S
- Engineering Manager Speech, Language Technologies (RE3) - AI4S
- MLOps senior researcher in Language Technologies (RE3_T1) - AI4S
- Group leader Social Link Analytics unit - biases and evaluation of AI tools in health / disinformation in social networks / Bioinfo4Women (R4) - AI4S
- Senior research engineer Generative Artificial Intelligence for Biomedical Research (RE3) - AI4S
- Established Researcher Data science and AI expert for Clinical NLP and Language Models (R3) - AI4S
- Recognised Researcher ML methods for histopathology image analysis in human development (R2) - AI4S
- Large Language Models for Multimodal Synthetic Data Generation and Evaluation in Biomedicine (R2) - AI4S
- Postdoctoral Researcher human digital twins (R3) - AI4S
- Postdoctoral Researcher LLMs Genomics (R2) - AI4S
- Postdoctoral Researcher Language models for bioprostecting and engineering (R3) - AI4S
- Post-doc in AI for Biomedical Multi-Omic Data Analysis for Cancer Precision Medicine (R3) - AI4S
- Research Engineer AI Models Evaluation and Validation @ OpenEBench (RE3) - AI4S
- Research Engineer Securing Processing Enviroments for Analysing Sensitive Data (RE3) - AI4S
- Research Engineer Model training, new architectures, performance enhancements, generative AI evaluation (RE2) - AI4S
- Postdoctoral Researcher Evaluation of AI systems and applications in health (R3)
- Postdoctoral Researcher Developing novel AI workflows to uncover tissue architectural changes in human aging (R2)
Earth Sciences:
- Researcher - Exploitation of next-generation Earth System observation missions (R3) - AI4S
- Researcher - Understanding air pollution patterns, trends and impacts (R3) - AI4S
- Researcher - Advancing atmospheric emission estimation (R3) - AI4S
- Researcher - Enhancing atmospheric chemistry modeling capabilities with machine learning and other cutting-edge technologies (R3) - AI4S
- Researcher - Modelling Tools for Climate and Health (R2) -AI4S
- Research Engineer - Data Science for Climate and Health (RE2) - AI4S
- Researcher - Using AI to improve climate predictions, by optimised ensemble selection and process-based calibration (R3) - AI4S
- Researcher - Bridging the gap between digital twins of the Earth and ocean biology at the species-level (R3) - AI4S
- Researcher - Weather dynamics and their effect on climate extremes in Digital Twins of the Earth and high-resolution observations (R3) - AI4S
- Researcher - Integrate the global carbon cycle into the digital twins of the Earth through AI-based solutions (R2) - AI4S
- Researcher - Enabling carbon cycle and improving land surface representation and land-atmosphere interactions in Digital Twins of the Earth System through data-driven solutions (R2) - AI4S
- AI-based atmospheric emulator (RE2) - AI4S
- Postdoctoral Researcher in Artificial Intelligence Applied to Climate Services (R2) - AI4S
- Postdoctoral Researcher in Artificial Intelligence Applied to Climate Services (R2) - AI4S
- Postdoctoral Researcher - Integrated Urban Air Quality Modeling: Bridging Physics and Data Science (R2)
- Research Engineer - AI-Driven Development of ML-Based Climate Forecast Models (RE3) - AI4S
- Researcher - Earth system services and AI (R3) - AI4S
CASE - Computer Applications in Science & Engineering:
- Researcher in computational materials science (R2) - AI4S
- Researcher - Turbulence modelling via ML (R2) - AI4S
- Researcher - Adaptive mesh refinement techinques exploting DRL (R3) - AI4S
- Researcher - High-fidelty hypersonic flows (R3) - AI4S
- Research engineer - Optimizing Bacteriophage Therapy in the Respiratory System via HPC (RE2) - AI4S
- Researcher - Virtual Lung Dosimetry for Health Outcomes (R3) - AI4S
- Researcher - Adaptive mesh refinement for wind farm simulation (RE3_T1) - AI4S
- Established researcher - Advanced methods for electromagnetic wave modelling and detection methods (R3) - AI4S
- PhD in machine learning models for rapid earthquake hazard assessment (R1) - AI4S
- Established Researcher in earthquake hazard assessment with HPC and AI (R3) - AI4S
- Researcher - AI applied to sports and live entertainment industry (RE3_T1) - AI4S
- Researcher in geometry and meshing for simulation (R3) - AI4S
- Researcher in high-order methods (R2) - AI4S
- Senior Researcher on Computational Modeling for Fusion (R3) - AI4S
- Researcher - AI social urban digital twins (R3) - AI4S
- Senior researcher in computational materials modelling (R3) - AI4S
- Researcher on Development of advanced methods for hydrogen combustion using ML-based algorithms (R3)
- Researcher Digitalization of hydrogen-based energy systems for hydrogen production (R2) - AI4S
- Researcher Development of soot models using Machine Learning algorithms (R2) - AI4S
- Researcher - AI explainability designer (R2) - AI4S
- Research Engineer - AI data scientist (RE2) - AI4S
- Research Engineer for HPC and AI for critical infrastructure resilience (RE3) - AI4S
- Researcher - Solid Mechanics researcher (R3) - AI4S
- Researcher - Digital Ethics for Dual-Use Technologies (R3) - AI4S
- Postdoc Researcher - Quantum Computation (R2)
- Researcher - Development of Digital Twins for the Steel manufacturing industry (R2) - AI4S
- Postdoc Researcher - Quantum Computation (R2)
Director's office:
- Spin-off Portfolio Manager (Deep Tech) - AI4S
- Postdoctoral Researcher in Labor Market (R2) - AI4S
- PhD researcher in Data and Computational Social Sciences (R1) - AI4S
- Research and Data Engineer (RE3) - AI4SResearch Engineer in Computational Social Science and Humanities (RE3) - AI4S
Operations:
- EuroCC-Spain-RES Project Officer - AI4S
- RES Strategic Officer - AI4S
- Cloud Infrastructure Engineer (OpenStack/Kubernetes/HadoopSpark) - AI4S
- Research Data Manager - AI4S
- AI Support Engineer - High-Performance Computing (HPC) Projects - AI4S
- AI Application Support Engineer - High-Performance Computing (HPC) projects - AI4S
- HPC/AI Systems Engineer - AI4S
- HPC/AI Systems Engineer - AI4S
- AI Application Support Specialist - AI4S
- AI Application Support Specialist for High-Scalability Projects - AI4S
- AI Senior Application Support Specialist - AI4S
Closed vacancies:
Computer Sciences:
Life Sciences:
Earth Sciences:
CASE - Computer Applications in Science & Engineering:
Director's office:
- Computational Social and Data Scientist (RE2) - AI4S
- Lead of Museums and Cultural Heritage Technologies and Strategy (RE3_T2) - AI4S
- AI Market and Business Analyst - AI4S
- Lead of the Data and Methods for HPCSSH (RE3_T2) - AI4S
- Senior Research Engineer Data Strategist, Science for Policy (RE3-T1) - AI4S
- Researcher in Digital Humanities and Computational Linguistics (R3) - AI4S
- Data Researcher and Engineer (RE3) - AI4S
Operations:
Recruitment process
All applications must be submitted through the BSC website and include:
- A complete CV in English, including contact details.
- A cover/motivation letter with a statement of interest in English, clearly specifying the area and specific topics the applicant wishes to be considered for. Two contacts for additional references must also be included. Applications without this document will not be considered.
The selection will be carried out through a competitive examination system. The selection 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 best-rated candidates at the curriculum level will be invited to the interview phase, conducted by the corresponding department and Human Resources. This phase will assess the technical skills, knowledge, professional experience related to the position, as well as the personal competencies required. - 60 points. A minimum of 30 out of 60 points must be obtained to be eligible for the position.
Each selection process includes a recruitment panel. This panel will consist of at least three people, ensuring a representation of women of 1/3, or at least 25% of the panel members.
In accordance with OTM-R principles, a gender-balanced hiring panel is formed for each vacancy at the beginning of the process. After reviewing the application contents, the panel will begin interviews, with at least one technical interview and one competency interview. At a minimum, a personality questionnaire and a technical exercise will be conducted during the process.
The panel will make a final decision, and all candidates who participated in the interview phase will receive feedback detailing the acceptance or rejection of their profile.
Due to the nature of the BSC AI 4 Science Fellowships (AI4S), all successful candidates must be incorporated before 31/12/2024.