PhD Position in AI and Medical Imaging: An exciting opportunity is open for a fully funded PhD position in Artificial Intelligence (AI) and Medical Imaging under the SynthiCare Project. This 3-year PhD program focuses on using AI-driven technologies to revolutionize cancer diagnosis and precision treatment. The research involves international collaboration with Stanford University and Norway’s leading institutions, with opportunities for an extended research stay at Stanford. The position is based in Ålesund, Norway, offering a unique work-life balance with access to scenic mountains and fjords.
Fully Funded PhD Position in AI and Medical Imaging (Collaboration with Stanford University)
Designation
PhD Position in AI and Medical Imaging
Details at a Glance
| Category | Details |
|---|---|
| Research Area | Artificial Intelligence (AI), Medical Imaging in Oncology |
| Location | Ålesund, Norway |
| Duration | 3 Years (Fully Funded) |
| Organization | Health Møre and Romsdal (Helse Møre og Romsdal HF), in collaboration with Stanford University |
| Stipend and Benefits | Competitive salary, membership in public pension schemes, advantageous insurance terms |
| International Collaboration | Up to 6 months research stay at Stanford University |
| Datasets/Resources | MRI data of brain metastases (Stanford University) and rectal cancer cases (Akershus University Hospital) |
| Application Deadline | 28th February 2025 |
Research Area– Computer Science, Physics, Mathematics, Biomedical Engineering, Medical Imaging (or a related field)
- Development and training of advanced AI methods such as diffusion models, GANs, and VAEs for synthetic MRI data generation.
- Application of AI techniques to tackle critical challenges in medical imaging and oncology.
- Focus on precision cancer diagnostics and treatment strategies.
Location
Ålesund, Norway – A beautiful coastal city offering an excellent work-life balance, surrounded by breathtaking mountains and fjords, ideal for recreation, skiing, and hiking.
Eligibility/Qualifications
To apply for this position, candidates must meet the following qualifications:
- A Master’s degree in:
- Computer Science
- Physics
- Mathematics
- Biomedical Engineering
- Medical Imaging (or a related field).
(This degree must qualify the candidate for admission to a PhD program at a recognized university or college.)
- Strong programming skills (preferably Python) and experience with deep learning frameworks like PyTorch or TensorFlow.
- A passion for advancing personalized cancer diagnostics and treatment through AI.
- Excellent communication, collaboration skills, and a proactive mindset.
Position Description
As a PhD student, you will:
- Work on cutting-edge AI technologies such as diffusion models, GANs, and VAEs to generate high-fidelity synthetic MRI data.
- Collaborate within a multidisciplinary team comprising AI researchers, radiologists, and oncologists from Norway and Stanford University.
- Test and validate innovative AI methods to improve medical image analysis and tumor progression modeling.
- Disseminate impactful research through high-impact peer-reviewed publications and presentations at leading international conferences.
- Have the rare opportunity for a 6-month research stay at Stanford University.
This position does not involve teaching obligations, allowing the candidate to focus fully on research.
How to Apply
Interested candidates should submit the following documentation:
- A Cover Letter describing motivation for the position and relevant experience.
- A detailed CV.
- Academic Transcripts (relevant educational documentation).
Contact: For inquiries, please contact Dr. Endre Grøvik (Principal Investigator) via email: endre.grovik@helse-mr.no.
Last Date to Apply
28th February 2025
Explore this incredible opportunity to contribute to cutting-edge research while collaborating with Stanford University and Norway’s leading institutions. Join the mission to revolutionize cancer treatment through artificial intelligence!
