PhD position radiogenomic for head and neck cancers

4 Mar 2024
Job Information

Organisation/Company

KU Leuven

Research Field

Engineering » Biomedical engineering

Researcher Profile

First Stage Researcher (R1)

Country

Belgium

Application Deadline

30 Apr 2024 - 00:00 (UTC)

Type of Contract

Temporary

Job Status

Full-time

Hours Per Week

38 hours/week

Is the job funded through the EU Research Framework Programme?

Not funded by an EU programme

Reference Number

BAP-2024-134

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

No

Offer Description

The candidate will use radiomics and deep and/or machine learning to develop a stratification tool based on biological and radiological MRI imaging features. The aim is to develop a stratification tool that can be implemented later on in the clinical radiotherapy workflow of head and neck cancer patients. The research is in close collaboration with the Department of Radiation-Oncology and Department of Radiology from the University Hospitals Leuven. The research is part of the ‘Head and Neck Cancer Radiogenomics project’ funded by ‘Kom op tegen Kanker’, which brings scientists from complementary disciplines together in the field of head and neck oncology.

Requirements

Research Field

Engineering

Education Level

PhD or equivalent

Languages

DUTCH

Level

Good

Languages

ENGLISH

Level

Good

Additional Information
Benefits

A fully funded 4-year PhD position at Doctoral School Biomedical sciences at University of KU Leuven with a flexible start dateState-of-the-art tools and research infrastructureVarious training opportunities to broaden your expertise and skillsA stimulating and highly interactive research environment

Eligibility criteria

You hold a Diploma of Master in Bioscience Engineering, Bio-informatics, Master in Engineering, or a related field of studyYou have basic knowledge of quantitative modeling and data mining ( e.g. knowledge of SQL queries and VBA) and are capable of managing and using large datasetsYou have solid experience in one or several programming languages and basic statistics e.g., Matlab, Python, R or equivalentYou are highly motivated to work in an interdisciplinary translational project with clinical relevance, and are passionate about developing clinical tools that may help future patientsYou are a creative and enthusiastic team player but can also work independently; you have a hands-on mentality and analytical mindsetKnowledge of molecular biology and radiology/imaging is an assetYou have excellent oral and written communication skills in EnglishOral and written skills in Dutch are considered a plus

Selection process

For more information please contact:

Prof. dr. Sandra Nuyts, mail: [email protected]

dr. Ruveyda Dok, mail: [email protected]

For application, please send your CV (with all the relevant academic scores), a motivation letter, and the names of at least 2 referees with full-contact details.

 

You can apply for this job no later than 30/04/2024 via the online application tool

Work Location(s)

Number of offers available

1

Company/Institute

KU Leuven

Country

Belgium

State/Province

Vlaams Brabant

City

Leuven

Postal Code

3000

Street

Leuven

Geofield

Where to apply

Website

https://easyapply.jobs/r/tjMHawt21szout4yS9po

Contact

State/Province

Leuven

City

Vlaams Brabant

Street

Leuven

Postal Code

3000

STATUS: EXPIRED