El BSC AI4Science Fellowships (AI4S) es un programa de atracción y retención de talento que tiene como objetivo la convergencia de HPC e IA, así como la creación y consolidación de líneas de investigación en los departamentos del BSC-CNS (Computer Sciences, Life Sciences, Earth Sciences, Computer Applications in Science and Engineering - CASE), aprovechando las capacidades computacionales del MareNostrum 5.
Esta iniciativa es parte de los programas de atracción y retención del talento dentro de la inversión 4 del componente 19 del Plan de Recuperación, Transformación y Resiliencia, C005/24-ED CV1.
Descripción
El AI4S busca afianzar las líneas de investigación existentes (Departamentos de CS, LS, ES, Y CASE), e impulsar el Instituto IA, tal como se ha descrito en los objetivos del Programa. Para ello, el BSC espera atraer o retener 158 personas becadas que estarán contratadas a jornada completa, los 4 años que dura el programa.
- Remuneración: La remuneración se establecerá de acuerdo con las tablas salariales del programa y se especificará en cada vacante publicada de forma transparente.
- Dotación de bolsa de gastos adicionales: Cada beca tendrá asociada una bolsa para gastos adicionales, como equipamiento IT, viajes, formación, estancias, etc.
- Jornada laboral: Jornada completa (37.5h semanales). No se considerarán las posiciones part-time.
- Contrato: 4 años.
- Incorporación: Debido a las características del BSC AI 4 Science Fellowships (AI4S), todas las personas que superen con éxito el proceso de selección deberán ser incorporadas antes del 31/12/2024.
Vacantes AI4S
Vacantes abiertas:
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)
- Researcher - HPC memory systems (R2) - AI4S
- Postdoc on Parallel Machine Learning - AI4S (R2)
- PhD on Programming model for edge to cloud through swarm methodologies - AI4S (R1)
- Research Engineer on Computer Architecture for AI (RE1)
- Research Engineer on Emulation and Evaluation of Novel Architectures for AI (RE1)
- Research Engineer on Emulation and Evaluation of Novel Architectures for AI (RE1)
- Researcher on Computer Architecture for AI (R2)
- Synthetic data for DL - AI4S (R2)
- Research Engineer – Agent-based models for explainability – AI4S (RE2)
- Research Engineer – Agent-based models for transfer learning – AI4S (RE2)
- RTL HW for AI - AI4S (RE1)
- Senior RTL HW for AI - AI4S (R2)
- Synthetic data for DL - AI4S (RE2)
- Synthetic data for DL - AI4S (RE2)
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
- Recognised Researcher AI and integrative methods for comparative genomics and metagenomics (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
- 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) - 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 - 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)
- PHD Student - HPC and ML in Electromagnetic modelling (R1) - AI4S
Director's office:
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
Vacantes cerradas:
Computer Sciences:
Life Sciences:
Earth Sciences:
CASE - Computer Applications in Science & Engineering:
CSS - Computational Social Sciences:
Director's office:
- Computational Social and Data Scientist (RE2) - AI4S
- Lead of Museums and Cultural Heritage Technologies and Strategy (RE3_T2) - AI4S
- Strategic Initiatives Coordinator - 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
Innovation & Business Development:
Education & Training:
Operations:
Desarrollo del proceso de selección
Todas las candidaturas deberán ser presentadas a través de la página web del BSC y contener:
- Un CV completo en inglés, incluyendo detalles de contacto.
- Una carta de presentación/motivación con una declaración de interés en inglés, especificando claramente para qué área y temas específicos desea ser considerada la persona aplicante. También se deberá incluir dos contactos para referencias adicionales. Las solicitudes sin este documento no serán consideradas.
La selección se llevará a cabo a través del sistema de concurso-oposición. El proceso de selección cuenta con dos fases:
- Análisis del currículum: evaluación de la experiencia previa y/o historial científico, título, formación y otra información profesional relevante para el puesto. - 40 puntos
- Fase de entrevistas: Las candidaturas mejor valoradas a nivel curricular serán invitadas a la fase de entrevistas, conducidas por el departamento correspondiente y por Recursos Humanos. En esta fase se evaluarán las competencias técnicas, conocimientos, habilidades y experiencia profesional vinculadas al puesto, así como las competencias personales requeridas. - 60 puntos. Se deberá obtener un mínimo de 30 puntos del total de 60 puntos para ser elegible para la posición.
Cada proceso de selección cuenta con un panel de selección. Este panel estará compuesto por, como mínimo, tres personas, asegurando una representación de mujeres de 1/3, o de al menos el 25% de las personas del panel.
De acuerdo con los principios de OTM-R, se forma un panel de contratación con equilibrio de género para cada vacante al inicio del proceso. Después de revisar el contenido de las solicitudes, el panel comenzará las entrevistas, con al menos una entrevista técnica y una de competencias. Como mínimo, se realizará un cuestionario de personalidad, así como un ejercicio técnico durante el proceso.
El panel tomará una decisión final y todas las personas que hayan participado en la fase de entrevistas recibirán feedback con detalles sobre la aceptación o desestimación de su perfil.