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Join to apply for the PhD position in Explainable AI (R1) role at Barcelona Supercomputing Center.Job Reference: 325_25_CS_HPES_R1Position: PhD position in Explainable AI (R1)Closing Date: Friday, 09 May, 2025About BSCThe Barcelona Supercomputing Center - Centro Nacional de Supercomputación (BSC-CNS) is the leading supercomputing center in Spain.
It houses MareNostrum, one of the most powerful supercomputers in Europe, and is involved in European HPC initiatives like PRACE and EuroHPC JU.
The mission of BSC is to advance information technologies to facilitate scientific progress across various sciences.
BSC employs over 1000 staff from 60 countries.Our Values and DiversityWe value diversity and encourage applications from women and underrepresented groups to help us avoid biases in science and IT research.
We promote equity, diversity, and inclusion, fostering an environment where everyone is appreciated for who they are.Role Context and MissionThe Computer Architecture and Operating System group at BSC focuses on programming models for embedded systems in critical applications like automotive, aerospace, and satellite control.
This role involves research and practical implementation in Explainable AI (XAI), aiming to develop transparent AI models for decision support, with a focus on real-world applications.
Responsibilities include designing explainability models, testing on platforms, studying generalization, and managing uncertainty in AI systems.Key DutiesConduct research on explainability methodologies in AI.Design self-explanatory models, especially neural networks, for decision transparency.Study generalization mechanisms in AI models.Manage uncertainty to improve confidence and interpretability.Develop communication strategies for explainability in AI.RequirementsEducation: Master's Degree in Data Science, Statistics, Mathematics, or similar; Bachelor's Degree in Mathematics, Computer Science, or similar.Essential Knowledge and Experience: AI engineering, Data Science, Statistics, Explainable AI techniques.Additional Knowledge and Experience: Python programming, frameworks like TensorFlow, PyTorch, JAX; LaTeX, PySpark (preferred).Competences: Problem-solving, proactive attitude, result-oriented work, good communication skills, proficiency in English.ConditionsLocation: Barcelona, within the Computer Sciences Department.Contract: Full-time, open-ended, with benefits including flexible hours, training, health insurance, relocation support.Start Date: 01/07/2025.Application ProcedureApply via the BSC website with a full CV, motivation letter, and references.
The selection involves a curriculum review and an interview assessing technical and personal competencies.
The process ensures gender balance and adherence to open, merit-based recruitment principles.Additional InformationWe are committed to equal opportunity and diversity.
For more details, visit our website or contact ******.
#J-18808-Ljbffr
It houses MareNostrum, one of the most powerful supercomputers in Europe, and is involved in European HPC initiatives like PRACE and EuroHPC JU.
The mission of BSC is to advance information technologies to facilitate scientific progress across various sciences.
BSC employs over 1000 staff from 60 countries.Our Values and DiversityWe value diversity and encourage applications from women and underrepresented groups to help us avoid biases in science and IT research.
We promote equity, diversity, and inclusion, fostering an environment where everyone is appreciated for who they are.Role Context and MissionThe Computer Architecture and Operating System group at BSC focuses on programming models for embedded systems in critical applications like automotive, aerospace, and satellite control.
This role involves research and practical implementation in Explainable AI (XAI), aiming to develop transparent AI models for decision support, with a focus on real-world applications.
Responsibilities include designing explainability models, testing on platforms, studying generalization, and managing uncertainty in AI systems.Key DutiesConduct research on explainability methodologies in AI.Design self-explanatory models, especially neural networks, for decision transparency.Study generalization mechanisms in AI models.Manage uncertainty to improve confidence and interpretability.Develop communication strategies for explainability in AI.RequirementsEducation: Master's Degree in Data Science, Statistics, Mathematics, or similar; Bachelor's Degree in Mathematics, Computer Science, or similar.Essential Knowledge and Experience: AI engineering, Data Science, Statistics, Explainable AI techniques.Additional Knowledge and Experience: Python programming, frameworks like TensorFlow, PyTorch, JAX; LaTeX, PySpark (preferred).Competences: Problem-solving, proactive attitude, result-oriented work, good communication skills, proficiency in English.ConditionsLocation: Barcelona, within the Computer Sciences Department.Contract: Full-time, open-ended, with benefits including flexible hours, training, health insurance, relocation support.Start Date: 01/07/2025.Application ProcedureApply via the BSC website with a full CV, motivation letter, and references.
The selection involves a curriculum review and an interview assessing technical and personal competencies.
The process ensures gender balance and adherence to open, merit-based recruitment principles.Additional InformationWe are committed to equal opportunity and diversity.
For more details, visit our website or contact ******.
#J-18808-Ljbffr
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Post Date
2025-05-10
Job Type
RELOCATION
Employment type
Full-time
Category
Information Technology
Level
Mid-Senior
Country
Spain
Industry
Retail Office Equipment
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