StarShip Programme Open for Applications

EIT HealthInnoStars is recruiting participants for its fellowship program (StarShip) from InnoStars countries and other RIS eligible countries outside EIT Health. StarShip is an EIT Health educational initiative in collaboration with leading European health industrial partners - lead by the University of Coimbra and IESE Business School and the Royal Institute of Technology (KTH).

Using a blend of different educational approaches including elements from Stanford Biodesign Concept, StarShip will be a unique opportunity for participants to be involved in industry-driven life science innovation, working together with innovators in and outside the companies in highly skilled multidisciplinary teams. During the one-year long programme, fellows learn a proven, action-based approach to find solution to industry challenges, verifying user requirements and identifying potentially unmet needs in the health context, in close collaboration with key industrial players and leading local EIT Health innovating institutions. In multidisciplinary teams fellows will develop responses to given challenges, validate them in the real health care settings, with the guidance of the StarShip academic team.

StarShips' outcome will be the development of - or a crucial contribution to - market-relevant products or services in collaboration with the industrial partner. Starship will also allow these companies to get insights in the high potential of the InnoStars regions while working closely with tomorrow’s high talent workforce.

Why participate? StarShip will provide an opportunity for participants to:

  • Get immerged in a concrete innovation challenges with leading companies
  • Become acquainted with design thinking and solution design
  • Learn elements of successful innovation & entrepreneurship from Europe’s leading academic institutions
  • Establish business connections with key healthcare companies also in view of future placement
  • Learn about latest cutting edge technologies from Europe’s top Universities and link with industry needs

Who can participate? StarShip fellows will ideally:

  • have a high interest in the health sector, and bring in a relevant background, biomedical, also from technical, engineering, economical, business, design and similar. Master or PhD will be a plus.
  • be from / or connected to one of the InnoStar regions: Budapest, Coimbra, Lisbon, Lodz, Naples and Wales.
  • Fluent English, both written and spoken is required.

Other Considerations:

  • Dedication a total of 9 weeks over the year 2017: 4 fixed education modules, time in companies to be agreed upon.
  • Travel & accommodation for workshops, company and university visits are covered. No formal scholarship is given.
  • Fellows will form multidisciplinary teams to solve company-related challenges.
For further information, please visit:
http://www.starship.eithealth.eu

To apply, please send your CV in English and a cover letter to This email address is being protected from spambots. You need JavaScript enabled to view it. until 22 December 2016.

About EIT Health
EIT Health is one of the largest healthcare initiatives worldwide. Its goal is to sustainably advance the foundations of healthcare and thus promote the future conditions for healthier living and wellbeing of people across Europe. EIT Health is leveraging the expertise of more than 130 leading organisations spanning key areas of healthcare such as Pharma, MedTech, Payers, Research Institutions and Universities. Chosen by the European Institute of Innovation and Technology (EIT) to form EIT Health, the consortium offers best-in-class research capabilities, higher education and business expertise. With a budget of 2 billion EUR over the next decade, it will purposefully invest in Europe’s best entrepreneurial talents and creative minds to foster the development and commercialisation of smart product and service solutions in the health sector, addressing the challenges imposed by demographic change and ageing societies.

Most Popular Now

AI also Assesses Dutch Mammograms Better…

AI is detecting tumors more often and earlier in the Dutch breast cancer screening program. Those tumors can then be treated at an earlier stage. This has been demonstrated by...

RSNA AI Challenge Models can Independent…

Algorithms submitted for an AI Challenge hosted by the Radiological Society of North America (RSNA) have shown excellent performance for detecting breast cancers on mammography images, increasing screening sensitivity while...

AI could Help Emergency Rooms Predict Ad…

Artificial intelligence (AI) can help emergency department (ED) teams better anticipate which patients will need hospital admission, hours earlier than is currently possible, according to a multi-hospital study by the...

Head-to-Head Against AI, Pharmacy Studen…

Students pursuing a Doctor of Pharmacy degree routinely take - and pass - rigorous exams to prove competency in several areas. Can ChatGPT accurately answer the same questions? A new...

NHS Active 10 Walking Tracker Users are …

Users of the NHS Active 10 app, designed to encourage people to become more active, immediately increased their amount of brisk and non-brisk walking upon using the app, according to...

Unlocking the 10 Year Health Plan

The government's plan for the NHS is a huge document. Jane Stephenson, chief executive of SPARK TSL, argues the key to unlocking its digital ambitions is to consider what it...

AI can Find Cancer Pathologists Miss

Men assessed as healthy after a pathologist analyses their tissue sample may still have an early form of prostate cancer. Using AI, researchers at Uppsala University have been able to...

How AI could Speed the Development of RN…

Using artificial intelligence (AI), MIT researchers have come up with a new way to design nanoparticles that can more efficiently deliver RNA vaccines and other types of RNA therapies. After training...

AI, Full Automation could Expand Artific…

Automated insulin delivery (AID) systems such as the UVA Health-developed artificial pancreas could help more type 1 diabetes patients if the devices become fully automated, according to a new review...

MIT Researchers Use Generative AI to Des…

With help from artificial intelligence, MIT researchers have designed novel antibiotics that can combat two hard-to-treat infections: drug-resistant Neisseria gonorrhoeae and multi-drug-resistant Staphylococcus aureus (MRSA). Using generative AI algorithms, the research...

AI Hybrid Strategy Improves Mammogram In…

A hybrid reading strategy for screening mammography, developed by Dutch researchers and deployed retrospectively to more than 40,000 exams, reduced radiologist workload by 38% without changing recall or cancer detection...

Penn Developed AI Tools and Datasets Hel…

Doctors treating kidney disease have long depended on trial-and-error to find the best therapies for individual patients. Now, new artificial intelligence (AI) tools developed by researchers in the Perelman School...