POSTDOCTORAL POSITION ARTIFICIAL INTELLIGENCE FOR MEDICAL IMAGING

POSTDOCTORAL POSITION ARTIFICIAL INTELLIGENCE FOR MEDICAL IMAGING

Published Deadline Location
14 Oct 14 Nov Maastricht
We are looking for a highly motivated candidate with a background in deep learning who is interested in the application of AI in medicine.

Job description

Your main task will be to develop new methodologies for the application of deep learning on medical images for the purpose of disease diagnosis and outcome prediction. This will be done at the cross-section of medical specialties (including radiology) and computer science. To achieve these goals, you will have access to unique datasets from research institutions throughout Asia, the United States and Europe. This position is located in Maastricht, The Netherlands, at Maastricht University (www.maastrichtuniversity.nl), within the department of Precision Medicine (https://precisionmedicinemaastricht.eu), embedded in the research school GROW (https://www.maastrichtuniversity.nl/research/grow-school-oncology-and-developmental-biology).

Specifications

Maastricht University (UM)

Requirements

We are looking for a positive-minded scientist with a PhD, fluent in English, both in writing and speaking and, preferably some experience as a postdoc and image analysis. Candidates must have a strong background in computer science, data analytics, or (bio)statistics. Proven expertise in machine learning, in particular Deep Learning, and programming (Python) is required. The candidates must be able to drive their own research agenda and be ready to write and submit grants. We expect you to be able to foster and initiate cooperation and enjoy teamwork in a multidisciplinary environment. In addition, candidates should be able to work independently, perform teaching activities, and supervise projects/PhD students.

Conditions of employment

Fixed-term contract: 1 +2 Years.

The position is for a fixed term of one year, with the possibility to extend with two extra years. The salary will be based on the candidates experience and can amount to a maximum of € 5.211 (comparable to max scale 11 VSNU), depending on your level of education and relevant experience and based on a full-time working week of 38 hours. If you are a non-Dutch national the 30% tax rule may apply.

Employer

Maastricht University

Maastricht University is renowned for its unique, innovative, problem-based learning system, which is characterized by a small-scale and student-oriented approach. Research at UM is characterized by a multidisciplinary and thematic approach, and is concentrated in research institutes and schools. Maastricht University has around 20,000 students and 4,700 employees. Reflecting the university's strong international profile, a fair amount of both students and staff are from abroad. The university hosts 6 faculties: Faculty of Health, Medicine and Life Sciences, Faculty of Law, School of Business and Economics, Faculty of Science and Engineering, Faculty of Arts and Social Sciences, Faculty of Psychology and Neuroscience.
For more information, visit www.maastrichtuniversity.nl.

Additional information

For more information about this position, please contact Henry Woodruff, Head of The D-Lab. h.woodruff@maastrichtuniversity.nl

Specifications

  • Postdoc
  • Health
  • max. 38 hours per week
  • €3807—€5211 per month
  • Doctorate
  • AT2021.403

Employer

Maastricht University (UM)

Learn more about this employer

Location

Universiteitssingel 50, 6229 ER, Maastricht

View on Google Maps

Interessant voor jou

X

Apply via postal mail

Apply via postal mail

hrm-rw-vacatures@maastrichtuniversity.nl

Don't forget to mention AcademicTransfer and the job number: AT2021.403 in your letter.

Application procedure

You can respond to this vacancy by sending your curriculum vitae, a motivation for your application, a research agenda, and a list of publications and possible recommendation letters to:
hrm-rw-vacatures@maastrichtuniversity.nl

Mention also the vacancy number/job number (AT2021.403) and the project name in your application.

Maastricht University is committed to promoting and nurturing a diverse and inclusive community. We believe that diversity in our staff and student population contributes to the quality of research and education at UM, and strive to enable this through inclusive policies and innovative projects led by teams of staff and students. We encourage you to apply for this position.

Application procedure

Application procedure

You can respond to this vacancy by sending your curriculum vitae, a motivation for your application, a research agenda, and a list of publications and possible recommendation letters to:
hrm-rw-vacatures@maastrichtuniversity.nl

Mention also the vacancy number/job number (AT2021.403) and the project name in your application.

Maastricht University is committed to promoting and nurturing a diverse and inclusive community. We believe that diversity in our staff and student population contributes to the quality of research and education at UM, and strive to enable this through inclusive policies and innovative projects led by teams of staff and students. We encourage you to apply for this position.

Make sure to apply no later than 14 Nov 2021 23:59 (Europe/Amsterdam).