PhD student 'Improving surgical margins in tongue cancer using AI'

This project funded by the Hanarth fund combines ultrasound imaging with histopathology data to train advanced AI models for automatic tumor segmentation, enabling surgeons to make informed decisions in real-time. By correlating detailed histopathological annotations with 3D reconstructions of US data, we aim to deliver precise, automated tumor delineation and improve the outcomes of SCC surgery. 

Squamous cell carcinoma (SCC) of the tongue is a rare yet critical challenge in surgical oncology. Achieving a minimum resection margin of 5 mm is vital for patient outcomes but remains unmet in up to 85% of cases due to limited intraoperative feedback on tumor boundaries. Ultrasound (US) imaging has shown promise in distinguishing SCC from normal tissue, offering insights into tumor invasion depth and resection margins. However, its interpretation is subjective, heavily relying on clinician expertise. This is why in this project we aim to utilize Artificial Intelligence to segment echo images of Tongue Cancer intraoperatively to facilitate radical resection.

Job Responsibilities: 
As a PhD student, you'll focus on:

1. Develop cutting-edge AI models: Train state-of-the-art deep learning models to segment SCC and healthy tissues using both US images and histopathology;
2. Integrate multimodal data: Align histopathology slides with 3D ultrasound reconstructions;
3. Refine imaging technology: Explore improvements in ultrasound physics, reconstruction algorithms, and data acquisition techniques to ensure high-quality inputs;
4. Collaborate with clinicians: Work with medical specialists to validate the clinical utility of your algorithms and ensure their relevance in surgical settings;
5. Collect data in the operating room: Participate in surgical theater data collection approximately once every two weeks to advance and expand the dataset needed to advance this research.

You'll be a part of the following groups at the Netherlands Cancer Institute:

• The AI for Oncology Group of Jonas Teuwen https://aiforoncology.nl
• The Head and Neck section of the Surgical Oncology Department.

About the Groups: 

AI for Oncology Lab: Dedicated to developing AI solutions to enhance cancer diagnostics and treatments via methodological advancements and expert collaborations. We have a wide range of deep learning-based projects ranging from fundamental AI research to translational evaluation of existing algorithms. 

Head and Neck section of the Surgical Oncology Department: Dedicated to perform excellent treatment according to the latest developments and methods. Extensive experience in reconstructive surgery after major procedures. We aim to treat while preserving function as much as possible. Large focus on supportive care. 
 

Candidate Profile: 
We are seeking an ambitious, independent, and proactive researcher who is excited to work at the intersection of AI, imaging technology, and oncological surgery. Ideal candidates will have:

A Master's degree in artificial intelligence, bioinformatics, computer science, physics, mathematics, or a similar field;

• Proficiency in deep learning and exceptional programming skills in python and preferably a compiled language such as Java or C++;
• Clear evidence of deep learning proficiency, reflected through coursework and GitHub repositories;
• Postdoctoral candidates must have extensive expertise in deep learning for medical image analysis.

• You will join a dynamic international research group;
• You will collaborate with scientists and clinicians with expertise in different disciplines; 
• You will have the opportunity to follow high-quality courses offered by the NKI PhD program; 
• You will be employed for a period of at least four years, with a possibility for extension; 
• For a PhD student the gross salary per month can range from € 3.523,- to €4.277,- (salary PhD student scale, according to the Collective Labour Agreement General Hospitals), depending on your experience; 
• The terms of employment will be in accordance with the CAO Hospitals;
• In addition, you will receive a fixed end-of-year bonus (8,33%) and you will receive 8,33% holiday pay; 
• Your travel expenses will be reimbursed at € 0,23 per km; 
• Free parking at the Antoni van Leeuwenhoek is also part of the package; 
• Personnel is stimulated to use public transport and bicycle and therefore we offer an interesting arrangement for bikers; 
• Amsterdam is a stunning city with many cultural amenities. The institute is located within a 20-minute tram or bicycle ride from the center of Amsterdam and within 20 minutes from Schiphol airport by car, bus or bicycle.

Interested?
Your application letter, CV, courselist and contact information of 2 references can be attached to the application form (link) on our website http://www.nki.nl/Research/Career/Vacancies/. 
Apply by the 'Apply now'  button at the bottom of the page.

We welcome applications that only partially meet these requirements but make sure you argue why you are suitable for this position in your application letter. Please be aware that a master’s degree is required in the Netherlands to obtain a PhD degree.

Deadline: 
This vacancy is open until March 1st 2025
 

For further information about the position please contact:
Dr. Jonas Teuwen at j.teuwen@nki.nl, Group Leader AI for Oncology and/or Baris Karakullukcu at b.karakullukcu@nki.nl, Head & Neck Surgeon.

The Netherlands Cancer Institute is an equal opportunity employer and values diversity in its workforce.