Research Scientist Position at Tecnalia for Uncertainty-Aware Deep Learning
hace 1 semana
Research Topic: Uncertainty-aware deep learning for parametric PDEs modeling tumor growth.
Host Institution: Tecnalia Research & Innovation, a leading research and innovation center in Spain.
PhD Enrolment: University of the Basque Country (UPV/EHU), a prestigious university in Spain.
Main Supervisor: Prof. Dr. Javier del Ser, a renowned expert in the field of artificial intelligence and machine learning.
Co-supervisor: Prof. Dr. Alessandro Reali, a distinguished researcher in the field of physics-informed neural networks.
Research Objectives- To investigate the impact of different methodologies to incorporate physics- and domain-expertise on the epistemic uncertainty of neural networks.
- To develop and align the knowledge modeled by a neural network to explanations verified or produced by experts.
- To reduce the uncertainty propagated to the output of a network by devising automatic data augmentation methodologies.
- To showcase the above goals in synthetic and real-world modeling tasks, such as road traffic characterization and tumor growth.
- Physics-aware neural network algorithm with quantifiable uncertainty propagation.
- Active learning strategies that leverage expert knowledge to reduce the uncertainty in the proposed neural network model.
- Methods to align the knowledge of the neural network with external expert annotation.
- Application of the proposed method to parametric models of tumor growth and/or road traffic models.
- 2+ peer-reviewed publications.
- 2+ participation in relevant international conferences.
Mobility: The researcher must not have resided or carried out his/her main activity in Spain for more than 12 months in the 36 months immediately before the recruitment date.
Doctoral Candidate: The candidate must be a doctoral candidate, not already in possession of a doctoral degree.
Exclusive Work Commitment: The candidate must agree to work exclusively for the action.
ContractFull-time Contract: The researcher will be employed on a full-time basis for a period of 36 months.
Secondments: The researcher will undergo two secondments at other consortium members' premises.
Salary: The gross salary amounts to €28,000 per year, plus a mobility allowance of €600 euro per month, and, where applicable, a family allowance of €660 per month and a special needs allowance.
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Gasteiz / Vitoria, Álava, España Tecnalia Research & Innovation A tiempo completoJob DescriptionResearch Topic: Uncertainty-aware deep learning for parametric PDEs modeling tumor growth.Host Institution: Tecnalia Research & Innovation, a leading research and innovation center in Spain.PhD Enrolment: University of the Basque Country (UPV/EHU), a prestigious university in Spain.Main Supervisor: Prof. Dr. Javier del Ser, a renowned expert...
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Gasteiz / Vitoria, Álava, España Tecnalia Doctorados A tiempo completoJob DescriptionResearch Topic: Uncertainty-Aware Deep Learning for Parametric PDEs Modeling Tumor GrowthAbout the Project:The successful candidate will be part of a research project focused on developing uncertainty-aware deep learning methods for parametric partial differential equations (PDEs) modeling tumor growth. The goal is to create a physics-informed...
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Gasteiz / Vitoria, Álava, España Tecnalia Doctorados A tiempo completoJob DescriptionResearch Topic: Uncertainty-Aware Deep Learning for Parametric PDEs Modeling Tumor GrowthAbout the Project:The successful candidate will be part of a research project focused on developing uncertainty-aware deep learning methods for parametric partial differential equations (PDEs) modeling tumor growth. The goal is to create a physics-informed...
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Gasteiz / Vitoria, Álava, España Tecnalia Doctorados A tiempo completoJob DescriptionResearch Topic: Uncertainty-Aware Deep Learning for Parametric PDEs Modeling Tumor GrowthAbout the Project:The successful candidate will be part of a research project focused on developing uncertainty-aware deep learning methods for parametric partial differential equations (PDEs) modeling tumor growth. The goal is to create a physics-informed...
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Gasteiz / Vitoria, Álava, España Tecnalia Doctorados A tiempo completoJob DescriptionResearch Topic: Uncertainty-aware deep learning for parametric PDEs modelling tumor growth.Host Institution: Tecnalia Research Innovation, Spain.PhD Enrolment: University of the Basque Country (UPV/EHU), Bilbao, Spain.Main Supervisor: Prof. Dr. Javier del Ser, Fundación Tecnalia Research Innovation (Tecnalia), Derio, Spain.Co-supervisor:...
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