About MENTOR Research Project - Machine Learning in Optical Networks, Early Stage Researchers
We are making bigger demands on the internet all the time. Machine learning (ML) and artificial intelligence (AI) will make the internet and optical communications more powerful, reliable and robust. The MSCA (Marie Sklodowska Curie Actions) European Industrial Doctorate (EID) MENTOR (Machine Learning in Optical Networks) has six EC-funded ML&AI Early Stage Researchers (ESRs) working on cutting-edge optical networks. Find out more on ML&AI and the amazing MSCA programmes by taking a listen! MENTOR is funded by EC Horizon 2020, under MSCA Grant 956713.
Machine-learning and AI, MENTOR Early Stage Researcher, Prasunika Khare at UPC, Barcelona, Spain
In this episode (5 of 5), Prasunika Khare at Universitat Politècnica de Catalunya (UPC), Barcelona, Spain - talks about being a researcher on the EC-funded European Industrial Doctorate MENTOR and also, on her earlier research work and how paved her way to MENTOR. MENTOR is an EC-funded Horizon2020 project that looks at optical communications using AI and machine learning. There are six researchers located in top research institutes around the UK and in Europe working with industrial partners Orange, Infinera and Telecom Mobile Italia. If you are thinking of a PhD or a career in optical networks research or in the optical communications industry, this podcast is for you. Find out more on ML&AI and the MSCA programmes by taking a listen. MENTOR is funded by EC Horizon2020, under Marie Curie Sklodowska (MSCA) Grant 956713.
3 Jan 2023
Machine-learning and AI, MENTOR Early Stage Researcher, Mariano Devigili at UPC, Barcelona, Spain
In this episode (4 of 5), Mariano Devigili at Universitat Politècnica de Catalunya (UPC), Barcelona, Spain talks about being a researcher on the EC-funded European Industrial Doctorate MENTOR. Mariano talks about working on MENTOR, an EC-funded Horizon2020 project that is looking at the optical communications challenges of tomorrow using AI and cutting edge machine learning techniques. There are six researchers located in top research institutes around the UK and in Europe working with industrial partners Orange, Infinera and Telecom Mobile Italia. If you are thinking of a PhD or a career in optical networks research or in the optical communications industry, this podcast is for you. Find out more on ML&AI and the MSCA programmes by taking a listen. MENTOR is funded by EC Horizon2020, under Marie Curie Sklodowska (MSCA) Grant 956713.
5 Dec 2022
Machine-learning and AI, MENTOR Early Stage Researcher, Abdennour Ben Terki at Sant'Anna School of Advanced Studies, Italy
In this episode (3 of 5), Abdennour Ben Terki at Sant'Anna School of Advanced Studies, Pisa, Italy, talks about being a researcher on the EC-funded European Industrial Doctorate MENTOR. Abdennour talks about how machine learning is used in every day life and what it's like going deeper into a subject by doing a PhD. MENTOR is an EC-funded project based in different countries with researchers and academic and industrial machine learning experts tackling the optical communications challenges of tomorrow. There are six researchers located in top research institutes around the UK and in Europe. If you are thinking of a PhD or a career in optical networks research or in the optical communications industry, this podcast is for you. Find out more on ML&AI and the MSCA programmes by taking a listen. MENTOR is funded by EC Horizon 2020, under Marie Curie Sklodowska (MSCA) Grant 956713.
1 Nov 2022
Machine-learning and AI, MENTOR Early Stage Researcher, Lareb Zar Khan at Sant'Anna School of Advanced Studies, Italy
In this episode (2 of 5), Lareb Zar Khan at Sant'Anna School of Advanced Studies, Pisa, Italy, talks about applying for a EC-funded PhD such as MENTOR and the doors such a programme can open for your career. Learn about the research life, secondments and what it's like going deeper into a subject by doing a PhD. MENTOR is a EC-funded project based in different countries with researchers and academic and industrial machine learning experts tackling the optical communications challenges of tomorrow as a cutting-edge research team. If you are thinking of a PhD or a career in optical networks research or in the optical communications industry, this podcast is for you. Find out more on ML&AI and the amazing MSCA programmes by taking a listen. MENTOR is funded by EC Horizon 2020, under Marie Curie Sklodowska (MSCA) Grant 956713.
30 Sept 2022
Machine-learning, noise reduction and neural networks, MENTOR Early Stage Researcher, Sasipim Srivallapanondh, at Aston University
If you are thinking of a PhD or career in optical networks research or in the optical communications industry, this podcast is for you. Hear directly from early stage researchers about how to apply for an EC-funded PhD project like MENTOR. Learn about the research life, secondments, and what it's like going deeper into a subject by doing a PhD. MENTOR is a project based in different countries with researchers and academic and industrial machine learning experts tackling the optical communications challenges of tomorrow as a cutting-edge research team.
https://mentor.astonphotonics.uk/
https://cordis.europa.eu/project/id/956713
MENTOR is a Marie Sklodowska Curie Actions (MSCA) European Industrial Doctorate and is funded by EC Horizon 2020, under MSCA Grant number 956713. Carefully-recruited researchers obtain salaried positions alongside their fully-funded PhD, studying and working with world leaders in their field.
Contact MENTOR Research Project - Machine Learning in Optical Networks, Early Stage Researchers
Guest appearances
Books guests
Based on episode analysis; this does not confirm that the show is currently accepting guests.
Host of MENTOR Research Project - Machine Learning in Optical Networks, Early Stage Researchers?
Claim your podcast to manage its listing and keep your show details accurate.
Pod Engine is an independent podcast discovery and analytics service and is not affiliated with or endorsed by this podcast. Artwork and show content belong to their owners. Full legal notice.
Explore this show Podcast research with Pod Engine
