Ongeveer 24 uur geleden - Universiteit Twente (UT) - Enschede
PhD candidate 'MRI-based decision support tool for chronic low back pain (AI for Health)'
Chronic low back pain (CLBP) is a highly prevalent condition with poorly understood etiology. The affected population is heterogeneous and the condition …
- Geert Grooteplein Zuid, Nijmegen, Gelderland
- Tijdelijk contract / Tijdelijke opdracht
- Uren per week:
- 36 - 36 uur
- € 2422 - € 3103 per maand
Chronic low back pain (CLBP) is a highly prevalent condition with poorly understood etiology. The affected population is heterogeneous and the condition multifactorial. This makes it challenging to determine the right treatment. Within the Radboud AI for Health lab, we are offering a PhD position for developing an innovative MRI-based decision support tool to help physicians and patients in choosing a treatment that is likely to be successful.
The PhD candidate will contribute to this decision support tool by developing automatic image analysis methods for assessing degenerative spinal and muscular changes on MRI scans. These image analysis methods will be based on deep learning and similar state-of-the-art technologies. Next to the development of image analysis methods, the candidate will also contribute to the validation of algorithms and decision support tool and their integration into clinical routine.
The project is a close collaboration between clinicians, including orthopedic surgeons and radiologists, and image analysis, machine learning, and clinical health scientists. The PhD candidate will work at the Department of Orthopaedics and in the Diagnostic Image Analysis Group (DIAG) at the Department of Radiology and Nuclear Medicine. We are additionally collaborating in this project with the Sint Maartenskliniek, a hospital specialized in musculoskeletal disorders in which every year thousands of patients with chronic low back pain are examined and treated by the orthopedic spine surgeons.
We are looking for an ambitious, creative and enthusiastic computer scientist, biomedical engineer or data scientist who would like to contribute to innovative diagnostics and decision support in the clinical field.
Good communication skills are a prerequisite to facilitate and coordinate the interdisciplinary collaboration.
You should have a MSc degree in a related field, such as biomedical engineering or technical medicine, and a clear interest in medical image analysis and machine learning. Programming experience, preferably in Python, and a good command of the English language are essential. Experience with machine learning, medical image processing and biostatistical modeling is a plus.
ConditionsUpon commencement of employment we require a certificate of conduct (Verklaring Omtrent het Gedrag, VOG) and there will be, depending on the type of job, a screening based on the provided cv. Radboud university medical center's HR Department will apply for this certificate on your behalf.
Read more about the Radboudumc employment conditions and what our International Office can do for you when moving to the Netherlands.
Additional informationIn your application include a motivation letter, your CV, list of grades and links to publications, your Master thesis or other work you have written in English.
An assessment can be a part of the selection procedure.
All additional information about the vacancy can be obtained from Dr. Nikolas Lessmann, Diagnostic Image Analysis Group or from Dr. Miranda van Hooff, Department of Orthopedics. Use the Apply button to submit your application.
Please apply before October 25, 2019.
Recruitment agencies are asked not to respond to this job posting.