PhD Student- Reinforcement Learning for Adaptive Radiation Therapy

Applications are welcome for a PhD Student- Reinforcement Learning for Adaptive Radiation Therapy at the faculty of science in the Netherlands Cancer Institute (NKI).

Radiotherapy treatment plans are designed by optimizing the parameters of the treatment delivery device such as beam directions, apertures, and delivery times. Typically, such plans are designed based on a single CT scan of the patient. In practice, the anatomy of the patients changes continuously and adaptive radiation therapy aims to adjust the treatment plan accordingly. The goal of this project is to use reinforcement learning to optimize radiation treatment plans and adapt them in response to anatomical changes. 

Tasks

The tasks for this position include:

  • Develop new machine learning methods within the context of adaptive radiation therapy;
  • Collaborate with other researchers within the lab, NKI, UvA, and Elekta;
  • Perform novel academic research on the crossroads of deep machine learning and medical physics.
  • Complete and defend a PhD thesis within the official appointment duration of four years;
  • Regularly present intermediate research results at international conferences and workshops, and publish them in proceedings and journals;
  • Assist in relevant teaching activities.

Duration: Temporary employment will be for a period of 4 years.

Salary

  • The gross salary per month for our PhD will range from € 2.882,- to a maximum of € 3.322,- according to the standard PhD scales.
  • In addition, candidates will receive a fixed end-of-year bonus (8,33%) and they will receive 8,33% holiday pay.

Job Requirements

The position, PhD Student- Reinforcement Learning for Adaptive Radiation Therapy seek candidates with

  • A Master’s degree in Artificial Intelligence, Computer Science, or related field; 
  • A strong background in computer vision and/or machine learning;
  • Strong analytical skills and technical skills;
  • Excellent programming skills preferably in Python; 
  • Excellent mathematics foundations, especially statistics and probability theory, calculus, and linear algebra;
  • High motivation and creativity, with a proactive and independent mindset;
  • An interdisciplinary mindset and an open and proactive personality in interacting with researchers from different disciplines;
  • Strong communication, presentation, and writing skills and excellent command of English;
  • Prior publications in relevant vision and machine learning venues will be advantageous for your application.
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Application Process

Interested applicants can apply and ensure that they attach the following documents:

  • A motivation letter that explains why they are interested in the PhD vacancy and joining the team; 
  • A link to their Master’s thesis;
  • Curriculum vitae, including their list of publications if applicable;
  • A complete record of Bachelor’s and Master’s courses (including grades and an explanation of the grading system);
  • A list of projects and publications they have worked on (with brief descriptions of their contributions, maximum 2 pages);
  • The names and contact addresses of at least two academic references
  • A separate research statement where they explain their initial ideas, e.g., how would they propose to start the research.

To apply for PhD Student- Reinforcement Learning for Adaptive Radiation Therapy, click here

Application Deadline: August 02, 2022.

For more information, visit the official site.

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