About Meulenbelt Nuclear Research
What is Meulenbelt Nuclear Research?
Meulenbelt Nuclear Research (MNR) is the one-man research and consultancy company founded by freelance nuclear physicist and engineer Ime Meulenbelt (Ir.). This platform showcases the approach MNR (and with that, Ime) takes in tackling projects, the range of projects undertaken, and the potential projects MNR can execute. MNR is committed to advancing and improving nuclear energy technology in the Netherlands.
Who is Ime Meulenbelt?
Background
Education
Studied at Delft University of Technology (TU Delft); the best university in The Netherlands and one of the best universities in the world.
MSc Applied Physics
Graduated cum-laude in Applied Physics, with a focus on Nuclear Reactor Physics. Thesis project completed with a 9/10 at the Reactor Physics and Nuclear Materials department.
ECTS*: 126/120
Delft University of Technology
MSc Management of Technology
Double degree programme Applied Physics and Management of Technology. All courses completed, but not the thesis project. Focussed on High Tech Management.
ECTS*: 96/120
Delft University of Technology
BSc General Engineering
Studied in Canada for a period, general engineering courses followed. Shows proficiency in the English Language
ECTS*: 30
University of British Colombia
BSc Applied Physics
General programme focussing on
ECTS*: 180/180
Delft University of Technology
ECTS*: 1 ECTS (European Credit Transfer and Accumulation System) amounts to approximately 28 hours of work.
Background
Work Experience
A background of my work-experience with the most recent on top.
Meulenbelt Nuclear Research
Freelancer and founder of Meulenbelt Nuclear Research. Descriptions of projects undertaken can be found here. Also running the day to day necessities of Meulenbelt Nuclear Research, such as procurement of new projects.
Rotterdam – Remote
Nuclear Research & Consultancy Group (NRG)
Thesis Intern at the High Flux Reactor in Petten, which is operated by NRG. Thesis project awarded a 9/10 titled: Fuel Defect Monitoring in the HFR: Developing Predictive Models for Improved Reactor Monitoring
Petten – Remote
Deloitte
During my studies as a working student – Investigated the potential of AI to improve the field of Credit Risk Management by comparing traditional methods for evaluating credit risk to modern AI-based methods using Python. Authored a blog about the results, which can be found here.
Amsterdam
