SIRE® is the market leader in Life Sciences recruitment. We believe the recruitment market needs to gear up in technology and continuous innovation. We like technology, in a Life Sciences market driven on science, we couldn’t stay behind; we drive Recruitment Science. Investing a majority of our turnover in technology enables us to use unique Resource Technologies. By using highly advanced algorithms, we enable our team of Resource & Data Strategists© to maintain the most advanced, detailed and complete Life Sciences network in Europe. This big data enables us to work Reverse Recruitment©: we first analyze the market in-depth before we go out to the market. Because we analyze the whole market, we can compare facts and data. This enables us to do Facts & Big Data Recruitment©, making sure we, or better yet, you find the right career!Our client is a professional Medical Devices and Information Technology organisation, based in Zuid-Holland Netherlands.

The Company

Is a leading provider of post-processing software for the quantification of medical imaging. It is their mission to empower medical professionals by providing software that gives them the facts.

Role Description

To expand our R&D activities in Deep Learning we are looking for a driven, and excellent colleague, who will work on the R&D and applications of Deep Learning applied to our various clinical application areas.

Responsibilities

- Set up, train and validate deep learning models working on medical images
- Come up with innovative, robust and vendor-independent solutions that will work in daily clinical research
- Work together with the rest of the applied research team on practical applications of deep learning
- Collaborate with clinical partners for external testing, validation and feedback on our innovations

Requirements

- PhD / Master in computer science, imaging or engineering
- Extensive experience with deep learning (preferably in medical applications)
- Experience with Python programming and relevant toolkits (NumPy, Scipy, Tensorflow & Py Torch
- Knowledge of C++ and toolkits is preferred
- Fluent in English

Are you interested and do want to apply for this role, please fill out your application via the apply button below and contact Hilbert van Alphen.