We are hiring

Talent Program

The Talent Programme transforms university education into a real professional experience. Students take part in technological innovation projects developed for companies, public authorities and social organisations, preparing themselves to face the challenges of the professional world.

With the support of professional mentoring, multidisciplinary teamwork and continuous monitoring, the programme offers comprehensive training that combines technical excellence, personal growth and professional experience from day one.

MENTORED STUDENTS
150
YEARS OF EXPERIENCE
0
CURRENT STUDENTS
0
ARE WOMEN
0 %
TFG/PFC WITHIN TALENT
0

Current job offers

Are you keen to take your studies a step further? Would you like to be part of a team that champions innovation and creativity?

Join our team and experience a unique environment where you can take part in innovative projects, collaborate with other students and fulfil your full potential.

Acquire skills and competencies that will complement your academic training, strengthen your entrepreneurial spirit, boost your creativity and prepare yourself to stand out in your future career.

Dare to innovate. Create. Learn. Grow. Your future begins here.

Work place: Building B6 Campus Nord. inLab FIB

Period: 14 September to 31 December 2026

Dedication: 20 hours per week with flexible scheduling

Tasks:

You will take part in the Talent training programme, developing a project in the field of Knowledge and Service Engineering by creating an application that digitises the token (from the sustainable cup) in order to facilitate its use by students and gamify its application.

Requirements:

  • Student of GEI, specialising in Computing or Software Engineering.
  • Have knowledge of
  • Mobile application development using the Ionic (Angular) framework.
  • Knowledge of web technologies (HTML) and the integration of web services and REST API interfaces.
  • Ability to manage, connect and integrate databases into software applications.

Positively valued skills:

  • Ability to work as part of a team.

Application deadline: Wednesday, 16 de September del 2026

To apply, please go to:

https://millot.upc.edu/CONV/indexBeques/becView/7535 (Scholarship code: 7535)

And submit your application by: 16/09/2026

Work place: Building B6 Campus Nord. inLab FIB

Period: 14 September to 31 December 2026

Dedication: 20 hours per week with flexible scheduling

Tasks:

You will participate in the Talent training programme, developing a project in the field of Artificial Intelligence: the development of a support tool (based on a company’s ticketing system) to streamline incident resolution and optimise routing to second-level resolution teams. You will work on creating an MVP with the aim of evaluating and defining the scope of the product’s operational workflow.

Requirements:

  • Student of GEI, specialising in Computing or Software Engineering.
  • English at C1 level (Advanced).
  • To have knowledge of
    • A clean, efficient and modular Python domain.
    • Knowledge of computational complexity and writing efficient code in terms of time and memory.
    • Basic principles of machine learning and data processing.
    • Be comfortable with Git version control.

Positively valued skills:

  • Technical expertise and interest in the field of large language models (LLMs) and artificial intelligence technologies.

Application deadline: Wednesday, 16 de September del 2026

To apply, please go to:

https://millot.upc.edu/CONV/indexBeques/becView/7484 (Scholarship code: 7484)

And submit your application by: 16/09/2026

Work place: Building B6 Campus Nord. inLab FIB

Period: 14 September to 31 December 2026

Dedication: 20 hours per week with flexible scheduling

Tasks:

You will participate in the Talent training programme, developing a project in the field of Knowledge and Service Engineering, to work on the SUDOQU (enSUring Data with Ontological QUality) project, a research project funded by the Ministry of Science and Innovation, whose objective is the development of techniques to ensure data quality through the use of ontologies.

Requirements:

  • Student of GEI, specialising in Computing or Software Engineering.
  • English at C1 level (Advanced).

Positively valued skills:

  • Mastery of Java development.
  • Experience in lifecycle management and dependencies with Maven.
  • Knowledge of unit test automation with JUnit and AssertJ.

Application deadline: Wednesday, 16 de September del 2026

To apply, please go to:

https://millot.upc.edu/CONV/indexBeques/becView/7483 (Scholarship code: 7483)

And submit your application by: 16/09/2026

We develop students’ talents

Professional environment

Combine your academic day-to-day with your professional future in the easiest way.

Mentoring

A professional tutor will accompany you every step of the way and help you get the best out of yourself.

Paid internships

Take part in innovation and research projects while receiving financial compensation for your work.

Support and progress

We will analyse your progress to help you grow and improve day by day.

Acknowledgement

We recognise your participation with academic credits and, upon completion, you will receive a certificate to enhance your CV.

Bachelor's Thesis / Master's Thesis

Use this experience to undertake your TFG, TFM or Doctorate as a real-world project.