The treatment of patients with brain tumors is all about finding the right balance between (aggressive) treatment of the tumor, while preserving healthy brain functionality. In this project, that is part of a larger project entitled “Picturing Predictions for Patients with Brain Tumors”, you will develop tools (using Deep learning) to extract richer and more relevant information from routine MRI scans from glioma patients. These tools will help to optimize treatment planning and evaluation in individual patients by allowing clinicians to compare their new patient to similar patients treated in the past.
This project continues the work of the picture project. We have access to a large annotated dataset that is readily available to start your work and (if circumstances dictate so) work on remotely. You will collaborate with (international) experts from both the medical and web development field to implement these tools in an interactive web application. This collaboration will enable your scientific contributions to more easily find their way to clinical practice.
Your main duties and responsibilities will include:
- Developing automatic segmentation tools for preoperative, postoperative and follow-up imaging of patients with a glioma.
- Develop and evaluate tools to predict the tumor-growth speed, overall and progression-free survival and location of progressive disease.
- Work together in a team of scientists, clinicians, web-developers and designers to make your research relevant to patients/doctors, and accessible in clinical practice.
- Writing scientific papers and a thesis about your findings.
We are looking for a highly motivated and enthusiastic PhD student with a strong interest (and experience) in neuroimaging and brain diseases. You are pro-active and precise, result oriented and care about the quality of your work, have excellent (written) communication skills, and work optimally when collaborating with others. You like to solve scientific problems and have an intrinsic motivation and capacity to continuously improve yourself.
In addition, you meet the following requirements and experience::
- A master degree in a relevant field e.g. technical medicine, medical physics, biomedical engineering, data science or a similar.
- Strong programming skills.
- Excellent scientific writing skills.
- Experience in (3D) medical image processing, linux-based OS, deep learning, probablistic programming and/or automatic segmentation are a definite plus, but not required.
You will work in close collaboration in a team of three PhD students (including the PhD student of this vacancy) and a mutlidisciplinary team of supervisors including a neurosurgeon, neuroradiologist and experts in medical image analyses.
- This core team works in close collaboration with the web-development team of Active Collective to implement novel features in a web application.- Furthermore the (neuro) radiology department offers a large group of researchers working on related fields that are always hapy to colaborate and share their knowledge and experience.
- We colaborate with 12 international hospitals that help with data collection and University College Londen and Norwegian University of Science and Technology in Trondheim that help with data processing and analyses.
Working at Amsterdam UMC, VUmc location means working in an inspiring and professional environment where development is encouraged in every respect. We offer you ample opportunity for development, deepening and broadening, additional training and a place to grow!We offer
Salary Scale PHD: 2495 tot 3196 euro gross when employed full-time (depending on qualifications and experience).
In addition we offer:
- Additional benefits include an 8.3% end-of-year bonus and 8% holiday pay.
- Pension is accrued at the ABP. VUmc contributes a large part of the premium (70%).
- In addition to excellent accessibility by public transport, we reimburse 75% of your OV travel costs (commuting costs).
- We also provide you with the opportunity to follow further training and development.
We offer an initial contract for 12 months that can be extended (after evaluation) for another 36 months.
For more information about our employment conditions, please visit our website.
For Dutch citizens it is mandatory to provide a VOG (Verklaring Omtrent Gedrag).Additional information
The preferred starting date for this position is Nov 2020, but is negotiable. The first interviews will take place at September 28th 2020 between 13:00 and 17:00. We kindly request you to take this into account.Information and application
Don’t hesitate to call us!
If you’re interested about this position, you can contact Prof. dr. Philip de Witt Hamer, via telephone number 06 83175830.
If you need more information about the application procedure, contact Brend de Jong, corporate recruiter at 020 444 8704.
You can apply till 20 September 2020 by using the apply button.
Acquisition based on this vacancy is not appreciated.