Ph.D Position: Dimensionality reduction and feature extraction in massive combustion data sets

Offer Description

Are you ready to tackle the challenges of climate change energy decarbonization? Become part of ENCODING, a European research network that aims to help predict the impact of RSF in energy-intensive industries (EIIs).

We are seeking for a bright doctoral candidate to push the boundaries of science, engineering and data-driven innovation. Collaborate with us and contribute to a greener future. 

LOCATION:

Co-tutelle program between Universidad Politécnica de Madrid (Madrid, Spain) and Université Libre de Bruxelles (Brussels, Belgium):

• 1 year and 9 months at UPM under de supervision of Prof. Soledad LeClainche Martínez
• Complete the remainder of the program at ULB under the supervision of Prof. Alessandro Parente

ABOUT THE PROJECT: 

In this role, you will explore novel ways of understanding and optimizing combustion systems for a sustainable energy future. Your work will focus on:

• Develop state-of-the-art feature extraction algorithms to classify and parametrize combustion processes. 
• Optimize low-dimensional manifolds using techniques like kernel methods, sampling, and data-driven modal decomposition (PCA, DMD, etc). 
• Design hybrid diagnostics methods that combine data-driven insights and first-principle approaches to tackle turbulent combustion challenges. 

WHY JOINING ENCODING?

• Address Global Challenges: contribute to decarbonizing energy-intensive industries, advancing renewable synthetic fuels.
• Collaborative environment: join our other PhD students and the universities and industrial network for this fun ride!
• Career Development: Become a Marie Sklodowska-Curie fellow.

REQUIREMENTS:

• Hold or graduate this year of an MSc or equivalent in chemistry, mathematics, engineering, physics, computer science, or any related fields.
• Not be in possession of a doctoral degree. 
• You haven’t lived or worked in Spain for more than 12 months in the past 3 years.
• Fluent in English. Any other language, especially the language of the country in which the application is submitted, would be a plus.
• Research experience is not required, but it would be a plus. Enthusiasm and ambition are essential!

WHAT WE OFFER?

• Competitive salary: 

Gross Salary: 2.882 € / month or 3.053 € / month with family

• Hands-on research
• Exciting locations: enjoy Madrid and Brussels during your co-tutelle program
• Supportive environment: we value diversity and are committed to create an inclusive and respectful workplace.

OTHER IMPORTANT INFORMATION:

• Starting date: As soon as possible.

HOW TO APPLY:

If you would like to be part of this remarkable Doctoral Network, do not hesitate to send an email to soledad.leclainche@upm.es and alessandro.parente@ulb.be with:

• your CV, 
• a small presentation/purpose letter,
• the name of 2 referees,
• academic records

Please, indicate in the subject of the email “ENCODING PhD position”.

Where to apply

E-mail soledad.leclainche@upm.es

Requirements

Research Field Engineering

Education Level Master Degree or equivalent

Specific Requirements

• Hold or graduate this year of an MSc or equivalent in chemistry, mathematics, engineering, physics, computer science, or any related fields.
• Not be in possession of a doctoral degree. 
• You haven’t lived or worked in Spain for more than 12 months in the past 3 years.
• Fluent in English. Any other language, especially the language of the country in which the application is submitted, would be a plus.
• Research experience is not required, but it would be a plus. Enthusiasm and ambition are essential!

Languages ENGLISH

Level Excellent

Additional Information

Work Location(s)

Number of offers available 1

Company/Institute ETSIAE

Country Spain

State/Province Madrid

City Madrid

Contact

City Madrid

Website

http://www.ulb.be
http://encoding.ulb.be
https://www.etsiae.upm.es

Street Plaza Cardenal Cisneros, 3

Postal Code 20080