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:
- PhD on Programming model for edge to cloud through swarm methodologies - AI4S (R1)
- LLVM Software Engineer (RE2)
- Vector and matrix accelerators for AI workloads - AI4S - (RE1)
- Researcher - Multimodal foundational models and XAI - AI4S (R2)
- Artificial Intelligence driven solutions for accelerators and communications - AI4S (RE1)
- Synthetic data for DL - AI4S (RE2)
Life Sciences:
- 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
- Group leader Social Link Analytics unit - biases and evaluation of AI tools in health / disinformation in social networks / Bioinfo4Women (R4) - 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
- Postdoctoral Researcher LLMs Genomics (R2) - AI4S
- Post-doc in AI for Biomedical Multi-Omic Data Analysis for Cancer Precision Medicine (R2) - AI4S
- Research Engineer AI Models Evaluation and Validation @ OpenEBench (RE3) - AI4S
- Research Engineer Securing Processing Environments for Analysing Sensitive Data (RE3) - AI4S
- Postdoctoral Researcher Evaluation of AI systems and applications in health (R3) - AI4S
- Postdoctoral Researcher Developing novel AI workflows to uncover tissue architectural changes in human aging (R2) - AI4S
- Postdoctoral Researcher Applying Deep learning to Healthcare (R2) - AI4S
- Research Engineer Clinical LLMs (RE2) - AI4S
Earth Sciences:
- 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 - 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
- Postdoctoral Researcher in Artificial Intelligence Applied to Climate Services (R2) - AI4S
- Postdoctoral Researcher in Artificial Intelligence Applied to Climate Services (R2) - AI4S
- Research - Earth observation products (R3)
- HPC and AI/ML-Driven Development and Optimization of Atmospheric and Climate Models (R2) - AI4S
CASE - Computer Applications in Science & Engineering:
Operations:
- AI Support Engineer - High-Performance Computing (HPC) Projects - AI4S
- HPC/AI Systems Engineer - AI4S
- HPC/AI Systems Engineer - AI4S
Closed vacancies:
Computer Sciences:
- Research Engineer - AI4S - LLMs for Code Parallelization (RE2)
- Research Engineer - AI4S - LLMs for Chip Design (RE1)
- Research Engineer - Foundational Models - AI4S (RE2)
- Research Engineer - AI4S - LLMs for Chip Design (RE2)
- Research Engineer on Diverse Redundancy for AI - AI4S (RE3)
- PostDoc on AI modelization for Edge AI systems - AI4S (R3)
- Postdoc on Parallel Machine Learning - AI4S (R2)
- Researcher - HPC memory systems (R2) - AI4S
- Research Engineer – Agent-based models for explainability – AI4S (RE2)
- Research Engineer – Agent-based models for transfer learning – AI4S (RE2)
- Vector and matrix accelerators for AI workloads - AI4S (RE2)
- Arithmetic units and data representation for AI - AI4S (RE1)
- Analog and inmemory computation for AI - AI4S (RE3)
- Research Engineer on Emulation and Evaluation of Novel Architectures for AI - AI4S(RE1)
- Research Engineer on Emulation and Evaluation of Novel Architectures for AI - AI4S(RE1)
- Researcher on Computer Architecture for AI - AI 4S(R2)
- Research Engineer – AI4S (RE2)
- Research Engineer – AI4S (RE2)
- Senior RTL HW for AI - AI4S (R2)
- Research Engineer - AI-based Edge-to-Cloud computing continuum solutions - AI4S (RE3)
- RTL HW for AI - AI4S (RE1)
- Synthetic data for DL - AI4S (RE2)
- Synthetic data for DL - AI4S (RE2)
- Research Engineer on AI HW/SW for Edge AI systems - AI4S (RE3)
- Research Engineer - Foundational Models - AI4S (RE2)
- Researcher Engineer - AI4S - LLMs for Code Parallelization (RE3-T2)
- Research Engineer - Foundational Models - AI4S (RE2)
- Research Engineer - AI4S - Foundational models for Chip Design (RE2)
- Synthetic data for DL - AI4S (RE2)
- HPC Performance Engineer for AI frameworks - AI4S (RE1)
- HPC Performance Engineer - AI4S (RE1)
- HPC analyst, researcher, and software developer - AI4S (R3)
Life Sciences:
- Team Leader Speech, Language Technologies (RE3_T1) - AI4S
- Engineering Manager Speech and Speaker Technologies (RE3) - AI4S
- Large Language Models for Multimodal Synthetic Data Generation and Evaluation in Biomedicine (R2) - AI4S
- Engineering Manager Speech, Language Technologies (RE3) - AI4S
- Post-doc in AI for Biomedical Multi-Omic Data Analysis for Cancer Precision Medicine (R3) - AI4S
- Postdoctoral Researcher human digital twins (R3) - AI4S
- Postdoctoral Researcher Language models for bioprostecting and engineering (R3) - AI4S
- MLOps senior researcher in Language Technologies (RE3_T1) - AI4S
- Research Engineer Model training, new architectures, performance enhancements, generative AI evaluation (RE2) - AI4S
- Senior research engineer Generative Artificial Intelligence for Biomedical Research (RE3) - AI4S
Earth Sciences:
- Domain-oriented LLM development (RE3) - AI4S
- AI-based atmospheric emulator (RE2) - AI4S
- Researcher - Bridging the gap between digital twins of the Earth and ocean biology at the species-level (R3) - AI4S
- Researcher - Integrate the global carbon cycle into the digital twins of the Earth through AI-based solutions (R2) - AI4S
- Workflow management solutions for environmental digital twins based on simulation and machine learning (RE3) - AI4S
- Researcher - Weather dynamics and their effect on climate extremes in Digital Twins of the Earth and high-resolution observations (R3) - AI4S
- Researcher - Exploitation of next-generation Earth System observation missions (R3) - AI4S
- Researcher - Using AI to improve climate predictions, by optimised ensemble selection and process-based calibration (R3) - AI4S
- Researcher - Effects of changes in natural aerosols on climate, ocean biogeochemistry, air quality and health (R3) - AI4S
- Researcher - Understanding air pollution patterns, trends and impacts (R3) - AI4S
- Research Engineer - AI-Driven Development of ML-Based Climate Forecast Models (RE3) - AI4S
- Postdoctoral Researcher - Integrated Urban Air Quality Modeling: Bridging Physics and Data Science (R2)
CASE - Computer Applications in Science & Engineering:
- PhD student for the Fusion Group - AI4S (R1)
- Researcher - Turbulence modelling via ML (R2) - AI4S
- Established Researcher in earthquake hazard assessment with HPC and AI (R3) - AI4S
- Senior researcher in computational materials modelling (R3) - AI4S
- PhD in machine learning models for rapid earthquake hazard assessment (R1) - AI4S
- Senior Researcher on Computational Modeling for Fusion (R3) - AI4S
- Researcher - AI social urban digital twins (R3) - AI4S
- Researcher - AI applied to sports and live entertainment industry (RE3_T1) - AI4S
- Researcher - Digital Ethics for Dual-Use Technologies (R3) - AI4S
- Researcher in computational materials science (R2) - AI4S
- Researcher in high-order methods (R2) - AI4S
- Researcher - High-fidelty hypersonic flows (R3) - AI4S
- Researcher on Development of advanced methods for hydrogen combustion using ML-based algorithms (R3)
- Postdoctoral Researcher- AI/ML-assisted analysis of spray flame combustion for aviation fuels (R2)
- Researcher Development of soot models using Machine Learning algorithms (R2) - AI4S
- Researcher - Development of multi-regime and dual-fuel models with Artificial Intelligence for gas turbine combustion applications (R2) – AI4S
- Postdoc Researcher - Quantum Computation (R2)
- Postdoc Researcher - Quantum Computation (R2)
- Research Engineer for HPC and AI for critical infrastructure resilience (RE3) - AI4S
- Researcher - Solid Mechanics researcher (R3) - AI4S
- PHD Student - HPC and ML in Electromagnetic modelling (R1) - AI4S
- Researcher - Adaptive mesh refinement techinques exploting DRL (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
- Researcher in geometry and meshing for simulation (R3) - AI4S
- Established researcher - Advanced methods for electromagnetic wave modelling and detection methods (R3) - AI4S
- Researcher - Earth system services and AI (R3) - AI4S
Director's office:
- Computational Social and Data Scientist (RE2) - AI4S
- Lead of Museums and Cultural Heritage Technologies and Strategy (RE3_T2) - AI4S
Operations:
- Research Data Manager - AI4S
- Cloud Infrastructure Engineer (OpenStack/Kubernetes/HadoopSpark) - AI4S
- Research Data Steward - AI4S
- Cloud Infrastructure Engineer (OpenStack, Network, Security) - AI4S
- RES Strategic Officer - AI4S
- EuroCC-Spain-RES Project Officer - AI4S
- AI Application Support Engineer - High-Performance Computing (HPC) projects - AI4S
- AI Application Support Specialist - AI4S
- AI Application Support Specialist for High-Scalability Projects - AI4S
- AI Senior Application Support Specialist - AI4S
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.