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 research in the field of AI and dedicates efforts to exploring and developing advanced generative models for both single-mode and multi-mode data in medical and engineering applications. We aim to train and implement foundational and application models for data generation, augmentation, imputation, forecasting, cross-domain generation, and transfer learning/fine-tuning tasks.
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/ai4s
Key Duties
Contribute to the definition of task-specific applications of AI generative models.
Lead the data gathering and pre-processing pipelines.
Conduct the design and training of DL/LLMs/FMs models
Implement responsible, reliable, reproducible and automated training and evaluation methodologies.
Document and disseminate the work done.
Requirements
Education
Master’s degree in STEM and PhD in STEM disciplines
Essential Knowledge and Professional Experience
Experience in an AI research-oriented position (one-year minimum.)
Experience in writing scientific papers (one peer-reviewed paper minimum)
Experience in tensor networks (six months minimum)
Experience in solving optimization problems (six months minimum)
Additional Knowledge and Professional Experience
Fluent English and Spanish are a must. Catalan is desirable.
A mathematical background is desirable.
Competences
Capacity to work in multidisciplinary and diverse 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: 45.000,00€
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