PhD position in semi-autonomous AI Prostate Cancer Detection on MRI

16 Mar 2024
Job Information

Organisation/Company

University Medical Centre Groningen (UMCG)

Research Field

Medical sciences

Researcher Profile

Recognised Researcher (R2)
First Stage Researcher (R1)

Country

Netherlands

Application Deadline

11 Apr 2024 - 22:00 (UTC)

Type of Contract

Temporary

Job Status

Not Applicable

Hours Per Week

36.0

Is the job funded through the EU Research Framework Programme?

Not funded by an EU programme

Is the Job related to staff position within a Research Infrastructure?

No

Offer Description

We are seeking a highly motivated PhD candidate to join our interdisciplinary team on an innovative project aimed at advancing prostate cancer detection through artificial intelligence (AI). The main purpose will be to develop and validate a semi-autonomous AI system for the interpretation of prostate MRI scans. The goal is to improve diagnostic accuracy, workflow efficiency, and patient outcomes in the detection of clinically significant prostate cancer, and to incorporate patient perspectives and education to ensure the ethical and successful implementation of AI in healthcare.

Tasks and Responsibilities
- Development and optimization of an AI algorithm for semi-autonomous prostate cancer detection on MRI.
- Conduct research on patient acceptance of semi-autonomous AI diagnostics.
- Conduct a multicenter prospective pilot study to assess the safety and workflow efficiency of the semi-autonomous AI system compared to standard radiologist interpretation.
- Integrate patient preferences and pilot study results with safety measures into groundwork for future multi-center RCT.
- Analyze data, publish findings in peer-reviewed journals, and present results at international conferences.
- Mentor junior team members, and students and assist in teaching.
- Support ongoing local, national, and international collaboration with clinicians, and clinical centers.
- Help set up and maintain the learning healthcare system on GrandChallenge.org, which runs on AWS.

Requirements
Specific Requirements

- MSc degree in Technical Medicine, Computer Science, Physics, Engineering, Biomedical.
- Sciences or a related field.
- Can train and develop deep-learning AI algorithms.
- Clear understanding of MRI.
- Academic writing, good presentation, and communication skills.
- A broad interest in AI algorithm implementation.
- A collaborative spirit and a commitment to continuous learning and professional development.

Additional Information
Benefits

We offer a challenging position in an enthusiastic team of experts in a broad (to explore) field. A four years fulltime contract (36 hours per week) as a PhD. Your salary will be a minimum of € 2.789,- gross per month in the first year and a maximum of € 3.536,- gross per month (scale PRO) in the final (4th) year, based on a full-time appointment. In addition, the UMCG will offer you 8% holiday pay, and 8.3% end-of-year bonus. The conditions of employment comply with the Collective Labour Agreement for Medical Centres (CAO-UMC).

Information
For more information please contact the Principal Investigators by e-mail: Derya Yakar ([email protected] ), Thomas Kwee ([email protected] ), Henkjan Huisman ([email protected] ).

Diversity and Inclusion Statement
UMCG is an international organisation, embracing a diverse student and staff population. We strongly believe that diversity is our advantage and creating an inclusive working climate in which students and staff feel a valued member of the UMCG community is therefore a top priority. UMCG values diversity within its community, therefore we encourage all qualified applicants, including minorities, women, people with disabilities, and members of other groups underrepresented in academia to apply. In case this vacancy appeals to you, but you are doubting whether you might be the right person for this position, please do apply.

Selection process

dr. Derya Yakar, [email protected]

Additional comments

dr. Derya Yakar
[email protected]

Website for additional job details

https://www.academictransfer.com/339086/

Work Location(s)

Number of offers available

1

Company/Institute

University Medical Center Groningen (UMCG)

Country

Netherlands

City

Groningen

Postal Code

9713 GZ

Street

Hanzeplein 1

Geofield

Where to apply

Website

https://www.academictransfer.com/en/339086/phd-position-in-semi-autonomous-ai-p…

Contact

City

Groningen

Website

http://www.werken.umcg.nl/

Street

Hanzeplein 1

Postal Code

9713 GZ

STATUS: EXPIRED