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João Miguel da Costa Sousa

2 weeks ago

Research Studentship for PhD Student in Mechanical Engineering and Intelligent Systems Instituto de Engenharia Mecânica in Portugal

Degree Level

PhD

Field of study

Computer Science

Funding

Available

Deadline

Oct 23, 2026

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Country

Portugal

University

Instituto de Engenharia Mecânica

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Keywords

Computer Science
Mechanical Engineering
Wind Energy
Energy Engineering
Python Programming
Bias
High Performance Computing
Wave Energy
Surrogate Modeling

About this position

Applications are open for one Research Studentship for a PhD student at IDMEC – Instituto de Engenharia Mecânica in Lisbon, Portugal. The position is offered within Project 1803P.00756.1.01, PE756-DATAZ / PE756-IDMEC, financed by IDMEC funds, and is centered on Mechanical Engineering and Intelligent Systems.

The work is closely connected to current, wave, and offshore wind energy applications. The project aims to improve computational fluid dynamics (CFD) workflows by introducing machine learning methods to accelerate the SIMPLE algorithm, including matrix solvers for the pressure Poisson equation, improved pressure-velocity coupling, and potentially a complete ML-based replacement of the SIMPLE scheme. The research also includes generation of high-quality training data for renewable energy applications, development of artificial intelligence surrogate models in HPC environments, and consideration of an end-user interface. The student will be expected to produce written documentation and contribute research results suitable for conference and journal papers.

Eligibility highlights include enrollment in a PhD in Mechanical Engineering, or a declaration of honor committing to enrollment before the end of the contract. The call also asks for proven experience in multimodal machine learning, use of external data to assess data leakage, identify biases, and improve explainability, as well as strong Python programming skills with tools such as PyTorch, OpenCV, Scikit-learn, Pandas, NumPy, Matplotlib, HuggingFace, and MLflow. A Master degree or equivalent is listed in the requirements section.

The fellowship is based at IDMEC – Institute of Mechanical Engineering in Lisboa, Portugal, under the scientific supervision of Prof. João Miguel da Costa Sousa. The monthly maintenance allowance is €1359.64. The initial duration is 3 months, with the possibility of renewal up to a maximum of 12 months.

Applications must be sent by email to [email protected] with the reference of the notice. The application window runs from 12 October 2026 to 23 October 2026 at 18:00 (Europe/Lisbon). Required documents include a CV, academic degree certificate where applicable, proof of PhD enrollment, and a motivation letter.

Funding details

Available

What's required

Applicants must be enrolled in a PhD in Mechanical Engineering, or submit a declaration of honor undertaking to enroll until the grant contract ends. Candidates should have proven experience in multimodal machine learning and in using external data to quantify data leakage, identify potential biases, and improve model explainability. Programming experience in Python is required, including PyTorch, OpenCV, Scikit-learn, Pandas, NumPy, Matplotlib, HuggingFace, and MLflow. The call states an Education Level of Master Degree or equivalent.

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