The Research Intership
The Research Internship (RI) is a course offered during the 2nd year by the Institute for Computing and Information Sciences (ICIS) at Radboud University (RU) and at the Department of Information and Communication Technology (DTIC) at the University Pompeu Fabra (UPF).
The goal of the RI is for the student to gain experience in their future work field, in academia or industry. It also allows the student to find out about a prospective work environment and some experience in carrying out a larger individual project as preparation for the Master's Thesis. Depending on the student's interests and Master's specialisation, the student can do the Research Internship internally in one of the research groups at UPF or RU or externally at some company or organisation in the industry or the public sector.
Students can also do a RI in an academic setting outside the ICIS / DTIC, for instance, in a research group in another faculty of UPF or RU or at another university.
Finally, the RI can also be done abroad. In this case, special planning is required. Irrespective of the type of project, the student will always need a supervisor who is an ICIS / DTIC academic staff member (i.e. an assistant, associate, or full professor).
Learning Outcomes
Upon completion of the RI, the student will be able to:
- Take part in scientific research in the specific area of the student's master’s specialisation: get acquainted with the subject and state of the art, apply appropriate methods, discuss, contribute to research results, relate the activities to current developments in the field;
- Present their activities and research outcomes of the RI;
- Reflect on the development of their research skills and the role of research in their future career.
Evaluation
The evaluation will be based on the final report of the RI. The final report is a document describing the RI process, including the outcome and some reflection on what the student has done and learnt. The report should contain information about the activities (problem addressed, relevance, discussion, ethical aspects (if applicable), the results (contributions, the outcome of the research, including pointers to sites with relevant information, e.g., datasets or repositories), and the reflection and evaluation:
- What went well/not so well/ according to plan?
- What was harder/easier than expected?
Timeline
Before September, you need to know whether you want to enrol in the internship or not. If yes, you need to know where and inform us in advance.
Internships offered by professors from the Department of Information and Communication Technologies (DTIC) at Pompeu Fabra University
Professor | Research Topics |
Pablo Arias Martinez | Image and Video Restoration, Self-supervised Learning, Bayesian Estimation, Generative Models, Diffusion Models |
Coloma Ballester | Computer Vision, Multimodal scene understanding from video, Unsupervised learning |
Bart Bijnens | Cardiovascular Diseases, Clinical Decision Support, Manifold Learning, Multiple Kernel Learning |
Miguel Calvo-Fullana | Reinforcement Learning, Constrained Learning, Multi-agent, Connected Autonomy, Optimization |
Josep Font-Segura | Constellation Design for Optical Communications, Error Probability in 6G Wireless Communications, DNA-Based Storage, Deep Learning Information Theory, Signal Processing and Information Theory in Machine Learning |
Vicenç Gómez | Reinforcement Learning, Automated Planning, Probabilistic Inference, Large Language Models, Social Networks |
Gloria Haro | Computer Vision, Multimodal analysis, 3D Reconstruction, Sports Video Analysis |
Gergely Neu | Reinforcement Learning, Machine Learning Theory, Sequential Decision making, Online Learning, Statistical Learning Theory |
Miquel Oliver | Data Analysis and Prediction, Transport System, Blockchain |
Narcis Pares | HCI, Mixed Reality, Embodied Interaction, Learning, Autism, Heritage |
Gemma Piella | Medical Image Analysis, Computer Vision for Medical Applications, Explainability, Uncertainty Quantification, Generative models |
Manuel Portela Charnejovsky | Privacy-preserving data-mining, Geospatial Data Modelling, Responsible Data Sharing Practices |
Javier Segovia Aguas | Automated Planning, Reinforcement Learning, Program Synthesis |
Internships offered by Pompeu Fabra University
Amazon Machine Learning Research and Development Centre in Barcelona
Contact person: Antonio Bonafonte
Applications should be done in December/January. More info here.
Contact person: Roger Garriga Calleja
Contact person: Daniel Arteaga
More info here.
Contact person: Joan Mas-Albaigès
Internships offered by Radboud University
More information here. For further details and procedures, please contact the Local Coordinator at Radboud University, Professor Stjepan Picek.