Now you have the chance to vote for your preferred candidate. Have fun, and go for it, support and promote your ideal supervisor. The winner will be announced during the RIMLS New Year's drinks on 14 January 2020.
The three nominated finalists are (in alphabetical order):
Deadline for voting is now closed.
Joost Drenth Marien de Jonge Iris Nagtegaal
Joost Drenth, theme Renal disorders
- Joost is a world-renowned lead researcher in the field of polycystic liver disease, a rare disease which sometimes makes it less appealing to investigate. However, Joost doesn’t let this hold him back and pushes forward in this interesting niche.
- Even though Joost is head of our department, plaatsvervangend opleider (not sure how to translate this), chair of the Capaciteitsorgaan, promotor to approximately 20 PhD candidates, editor-in-chief of the UEG Journal, he still finds time to mentor us and review our publication drafts in an absurdly short amount of time!
- Joost invites you to give him feedback and to speak up if you disagree on any matters. This creates an open and respectful working climate.
- Marien is very humble, and although he has achieved all the great things in his career, he respects everyone.
- Marien is also chronically enthusiastic and positive. Even when you messed up your whole experiment, he can cheer you up with “that is how big discoveries are sometimes made.”
- I love how much you can learn from a single conversation with Marien. Especially because in every discussion he comes up with about ten different side stories, which all have their own side stories as well. Although sometimes I feel like a steam locomotive that has to keep up with a high-speed train. A high-speed train that is on rocket fuel and is not necessarily bound to any track.
- Iris knows all details about each of our programs and gives good insights and tips, even though she doesn’t do bench work.
- Iris xpects hard work and results but also knows that rest and personal time is important.
- Iris comes up with the craziest ideas, like a model for tumour scatter that resembles migration patterns in birds.