This SAP Research Challenge aims to promote the development of in-person R&D activities focused on the field of Artificial Intelligence (AI). The SAP program is divided into two components: training and group research. The training component will be based on short thematic workshops taught by experts. These workshops will focus on emerging AI-related topics (including, Deep Learning, Tiny AI, Blockchain, Collaborative Robots, Simulation and Additive Manufacturing) and training in basic research components (namely, Research Methodologies, Data Analysis, Scientific Writing, Preparation of Scientific Pitches, and Funding Opportunities).

Concerning the research component (designated as Hands-On), young researchers will be incorporated into projects currently being executed at IPCA R&D units and challenged to carry out a short-term R&D project oriented towards the project's goals. The students will be divided into groups under supervision of a senior researcher. In addition to research activities, young researchers will participate in scientific discussion sessions among the various members of IPCA R&D units, designated as Journal Club. Here, they will be challenged to analyze a recent scientific publication and present their methods, results, and main findings to the IPCA scientific community. Finally, all students must prepare an oral presentation of the projects developed in the scientific communication sessions of IPCA R&D units.

Date

Number Hours

0 hours

Course Code / UFCD Code:

RCSAI

Typology

Challenge Programme

Mode of delivery

in face week at IPCA Campus

Location

in person weet at IPCA Campus

Organised By

IPCA & TUS

Certification

Language of instruction

English - United Kingdom

ECTS credits

Academic Recognition

To be defined by each Home Institution.

Means Criteria

All students will be organised in groups. Each group will realise a final presentation/demonstration of the developed work.

Prerequisites

None

Scholarship Available

Admission Conditions

How to apply

Fill in the application form

Target Audience

Students from technology fields, including engineering and sciences. No pre-skills are required, and the programme is suitable also for any other student programme.

Selection criteria

Priority will be given to students who are developing research at a master’s or PhD level and to students involved in the IPCA Summer Schools. A maximum of 30 students will be selected for this programme.

Training Area

Special Conditions

None

Learning Teaching Strategy

Professional Output

Workload Breakdown

Proposed Learning Outcomes

At the end of this RUN-EU SAP, participants will be able to:

Understand the basics of research methodologies

Receive advanced training in emergent technologies

Improve transversal and soft skills through teamwork and cooperative project methodology

Improve innovative thinking in cooperation with others to achieve a common goal,

Experience a multicultural international environment

Coordination