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throughout the entire doctoral programme. Together we will draw up a career plan that includes the skills and knowledge you will acquire An inclusive working environment with ambitious colleagues
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requirements: Candidates must hold, at the time of application, a Bachelor’s degree in Informatics Engineering or related fields. Candidates must also have knowledge in: i. Deep Learning and LLMs: practical
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research activities relevant to the project's research topic and work plan, will also be taken into consideration. Workplan and objectives to be achieved: This project aims to develop and apply Artificial
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possible renewals, a cumulative period of four years of research fellowship intended for doctoral students. Preferential factors: Research experience in the areas of Bioinformatics and Machine Learning
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work plan, from among the projects listed below, will also be taken into consideration. Workplans and objectives to be achieved: Fellowship 1 – Optomechanical frequency combs towards quantum metrology
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the fellowship to which they are applying. Prior knowledge and participation in research activities relevant to the selected project's research topic and work plan, from among the projects listed below, will also
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learning (“buddying”) Both roles will contribute to a developing cross-disciplinary Deep End research community Developing Skills & Expertise: Develop academic skills around research from design to delivery
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programming in C (on microcontrollers and embedded Linux); ii. Machine learning on the Edge. Priority will be given to candidates enrolled in a Master Program related to Embedded Systems or related fields