From 15th-19th June 2020 Imperial College London will host the 1st trilateral Global Fellows Programme in partnership with the Technical University of Munich (TUM) and the Nanyang Technological University, Singapore (NTU Singapore).
In the current scientific environment international collaborations and networking are the basis for developing successful projects. In a competitive research environment funding is increasingly drawn to interdisciplinary, collaborative research with partners from around the world. The modern researcher requires both excellence in research and professional skills and competencies.
With the boom of the 4th industrial revolution, big data have become central to various transactions, including health technology. How these data are analysed, synthesized, and propagated has an impact beyond the lab or clinic to society at large. Participants will discuss and develop intercultural, interdisciplinary and intersectoral discussions and approaches to handle and use data to improve health and society, how to communicate about health technologies to the public, and how data can improve the quality of life for all citizens. A range of guest speakers will provide participants with case studies to open discussions.
A background on the subject is not essential, doctoral candidates from any discipline are invited to apply.
This is a chance to challenge yourself outside of your normal working environment, meet people from other disciplines and cultures, and have fun!
Approximately 40 doctoral researchers from NTU, TUM and Imperial will work together to develop professional, research and collaborative skills as well as the intercultural awareness that is required to establish and continue successful collaborations.
During the 5-day program, participants will work in interdisciplinary and international groups, assisted by a coach from one of the partner universities. During the programme, participants will enhance:
- Their ability to work collaboratively on research ideas
- Their ability to network and communicate effectively and with impact in interdisciplinary and intercultural teams
- Their intercultural and international competency and awareness
- Their creativity to develop collaborative research ideas
- Their appreciation of research in international institutions
Application is open to doctoral candidates from all disciplines and TUM departments/schools. Applicants should have a keen interest in Data and the 4th Industrial Revolution and be willing to engage with topics and concerns in this area. However an in-depth background in the area is not required.
TUM applicants must:
- Be a current doctoral candidate at TUM (no guest doctorates)
- Be a full member of the TUM Graduate School
- Have already participated in the TUM-GS Kick-off seminar
- Be fluent in English
- Have an interest and awareness of issues affecting Data and the 4th Industrial Revolution and a willingness to engage with current topics in responses to Health Data and Technology for Science
- Have already secured the support for participation from their respective supervisors
- Be able to participate in the entire one week programm (from Moday morning, 15 June - Friday afternoon, 19 June 2020)
- Be willing to share their experiences on the programme with the TUM campus community upon their return
Application is open from 13 December 2019 - 16 January 2020. To apply for the Imperial-TUM-NTU Global Fellows Program 2020, please submit the following documents in English via email to Julia Vrooman:
- Fully completed Imperial-TUM-NTU Global Fellows 2020 Application Form
- Short CV - max. 2 pages
- Motivation letter outlining why you are applying and your interest in the academic theme (including your expectations and goals for the summer school) - max. 1 page
- Summary of your doctoral research project - max. 2 pages
Successful applicants will be notified within 4 weeks of the application deadline.
The TUM Graduate School offers 15 fully funded spots which include:
- Course fee for the entire course week
- Lunch from Monday June 15th - Friday June 19th
- Course Welcome Dinner
- Travelcard allowing local travel within London for the course week
- Accommodation: Sunday June 14th – Saturday June 20th (twin rooms)
Following the Global Fellows Program in June 2020, participating TUM doctoral candidates have the opportunity to do a 3 weeks research stay at Imperial College London. To support the accommodation and living expenses in London, the TUM Graduate School offers 3 exclusive grants of 800 EUR* for participants of the Imperial-TUM-NTU Global Fellows Program 2020.
In order to apply for the exclusive Research@ICL grant, please:
1. Discuss this possibility with your doctoral supervisor and contact a potential host at ICL directly.
2. Once you have found a suitable host at ICL, please ask him/her for an invitation letter for your intended research stay.
3. Submit following documents to the TUM-GS Management Office no later than 6 weeks before the intended start date of the research stay:
- Research@ICL Grant application form
- description of the intended research activity at ICL (one page)
- invitation letter from your host at ICL
*It is possible to combine the Research@ICL Grant with other TUM-GS funding options.
During the course week, the TUM-GS will take care of the course fee, lunch and local transportation in London. Accommodation near the course venue will be provided during the entire course week for TUM participants. All rooms will be shared with another participant of the same gender.
Cancellation of participation are free of charge up to 6 weeks before the start of the summer school. For cancellations after 3rd of May 2020, a cancellation fee of 150 euros will apply, in case we cannot find another candidate to fill your spot. If you cancel on the day of the summer school or fail to appear, we will need to charge you the full 750 euros for the summer school. In the event of illness, we will waive the cancellation fees. However, you must inform us of this no later than 6:00 p.m. on Sunday, 14 June 2020 and provide us with a doctor’s letter within 3 days.