Phd On Digital Twin in Healthcare for Brain - Amsterdam, Nederland - Universiteit van Amsterdam

Universiteit van Amsterdam

Geverifieerd bedrijf

Amsterdam, Nederland

1 week geleden

Geplaatst door:

Daan Van den Berg

werver van beBee

Beschrijving

PhD on Digital Twin in Healthcare for Brain Perfusion and Metabolism

Faculteit/Dienst:
Faculteit der Natuurw

, Wiskunde & Informatica
Opleidingsniveau:

Master
Functie type:
Promotieplaats
Sluitingsdatum:17 juni 2024
Vacaturenummer:12967-
What are you going to do?

Project:

Digital Twin in Healthcare for Brain Perfusion and Metabolism
Aim: Building upon earlier computational models for brain perfusion, metabolism, and infarction, you will develop a high-fidelity Digital Twin, that will become a generic modelling and simulation platform to study (patho)physiology of brain perfusion and related processes (metabolism, infarction, oedema, bleeding in the brain, vasospasm, etc.).

The Digital Twin will be validated against clinical data, and credibility assessments will be performed. Finally, in collaboration with (clinical) partners, the Digital Twin will be applied to contribute to decision support tools in preventing or treating strokes.-
Tasks and key responsibilities:

You will collaborate with both local and international partners (this includes clinical, experimental, and computational partners) to maintain the comprehensiveness and applicability of the research.
You will participate in academic education based on mutual agreement (assisting in one of our courses or supervising student thesis projects).

What do you have to offer?Your experience and profile**:

You are experienced with python and C++ and with software engineering tools and are familiar with version control (git). If needed, you are eager and willing to learn new skills in computational fluid dynamics, numerical methods, or programming.
You have a professional command of written and spoken English (training in academic skills is an advantage).
Familiarity with any of the following is considered an advantage: GPU programming, numerical algorithms, high-performance computing, medical image segmentation, finite element method, biology of brain perfusion.
Our offer
A temporary contract for 38 hours per week for the duration of 4 years (the initial contract will be for a period of 18 months and after satisfactory evaluation it will be extended for a total duration of 4 years). The preferred starting date is as soon as possible. This should lead to a dissertation (PhD thesis). We will draft an educational plan that includes attendance of courses and (international) meetings. We also expect you to assist in teaching undergraduates and master students.
Besides the salary and a vibrant and challenging environment at Science Park we offer you multiple fringe benefits:
232 holiday hours per year (based on fulltime) and extra holidays between Christmas and 1 January;
Multiple courses to follow from our Teaching and Learning Centre;
A complete educational program for PhD students;
Multiple courses on topics such as leadership for academic staff;
Multiple courses on topics such as time management, handling stress and an online learning platform with 100+ different courses;
7 weeks birth leave (partner leave) with 100% salary;
Partly paid parental leave;
The possibility to set up a workplace at home;
A pension at ABP for which UvA pays two third part of the contribution;
The possibility to follow courses to learn Dutch;
Help with housing for a studio or small apartment when you're moving from abroad.

About us- The Faculty of Science (FNWI) has a student body of around 8,000, as well as 1,800 members of staff working in education, research or support services. Researchers and students at the Faculty of Science are fascinated by every aspect of how the world works, be it elementary particles, the birth of the universe or the functioning of the brain.- The mission of the Informatics Institute (IvI) is to perform curiosity-driven and use-inspired fundamental research in Computer Science. The main research themes are Artificial Intelligence, Computational Science and Systems and Network Engineering. Our research involves complex information systems at large, with a focus on collaborative, data driven, computational and intelligent systems, all with a strong interactive component.- You can find further information on the group (Computational Science Lab) at the following URLs:

Any questions?

Do you have any questions or do you require additional information? Please contact:
Applications should include the following information (all files apart from your CV should be submitted in one single pdf file):
detailed CV including the months (not just years) when referring to your education and work experience;

- a letter of motivation (max. 1 page);
- a digital copy of your Master's thesis;
- a complete record of Bachelor and Master courses (including grade transcripts and the explanation of the grading system used by your university);