Research Grant

Inesc Tec; Porto; On-site; EUR 12,000 - 16,000; Full time

Benefits offered by this job

Health insurance

Tuition fees coverage

Job summary

INESC TEC is offering a Research Grant in Energy to join CPES, focusing on real-time optimization, digital twins, and data-driven validation. The role involves developing optimization algorithms, testing them with operational data, and preparing technical reports and scientific articles.

Ideal candidates hold a Master’s degree in electrical engineering or related field, with Python experience and strong knowledge of optimization, modelling, or simulation, plus fluency in English and Portuguese.

Qualifications

• Master’s degree required in electrical engineering or similar field.
• Experience with Python and data analysis.
• Knowledge of optimization algorithms, modelling or simulation.
• Fluency in English and Portuguese, spoken and written.
• Experience with applied optimization.
• Knowledge of digital twins.

Responsibilities

• Develop real-time optimization algorithms.
• Support the development of digital twins.
• Test the algorithms using operational data.
• Prepare a technical report and a scientific article.

Skills

Python

Optimization algorithms

Data analysis

English and Portuguese fluency

Education

Master’s Degree in electrical engineering or similar

Job description

#INESCTEC #Recruitment #Research #Innovation #Science #Technology #Careers

EN

OPPORTUNITY | Research Grant

Energy

INESC TEC is looking for a Research Grant to join CPES, working in the field of Energy.

About the opportunity

In this role, you will contribute to:

• Develop real-time optimization algorithms.
• Support the development of digital twins.
• Test the algorithms using operational data.
• Prepare a technical report and a scientific article.

What we are looking for

• Master’s Degree in electrical engineering or similar.
• Experience in Python.
• Knowledge of optimization algorithms, modelling, or simulation.
• Fluency in English and Portuguese, spoken and written.
• Experience in applied optimization.
• Knowledge of digital twins.
• Experience in data analysis and visualization.

What we offer

• INESC TEC supports costs with registration, enrolment or tuition fees, during the grant duration, under the terms established in the internal document: Payment of Tuition fees to grant holders.
• The grant holder will benefit from health insurance, supported by INESC TEC.

Application deadline:

From 08 Out 2026 to 21 Oct 2026

At INESC TEC, we believe that different perspectives contribute to more innovative, inclusive and impactful science.

Join us and be part of the future of science and technology.

#INESC TEC #Opportunity #Recruitment #Research #Innovation #Science #Technology #Careers