Post-doctoral assistent department Data Analysis and Mathematical Modelling

Cancer Research Institute Ghent (CRIG); Oost-Vlaanderen; On-site; EUR 40,000 - 58,000; Full time

Benefits offered by this job

36 days paid leave

Bicycle commuting reimbursement

Ecocheques

Job summary

Ghent University invites applications for a Post-doctoral assistant in the BioML research group within the Department of Data Analysis and Mathematical Modelling. The successful candidate will devote at least 70% of the time to advanced machine learning research applied to life sciences and supervise students across bachelor, master and doctoral levels.

The appointment is for three years with a potential extension, starting 1 January 2027, and offers the opportunity to work on competitive

Qualifications

• PhD in computer science, mathematics, physics, bioscience engineering or related field.
• Research experience in machine learning.
• Proven track record as a researcher with potential for independent funding.
• Interest in coaching Bachelor/Master/Advanced Master students.
• Publications in peer-reviewed journals if available.

Responsibilities

• Supervise Bachelor, Master and doctoral students.
• Co-supervise doctoral students and contribute to supervision teams.
• Lead or contribute to securing competitive research funding.
• Align research with omics data analysis and ML methods.

Skills

ML research

Academic leadership

Student supervision

Publications

PhD in related field

Education

PhD (doctoral degree)

Job description

Post-doctoral assistent department Data Analysis and Mathematical Modelling

Job ID: 30359

ABOUT GHENT UNIVERSITY

Ghent University is a world of its own. Employing more than 15,000 people, it is actively involved in education and research, management and administration, and technical and social services on a daily basis. It is one of the largest, most exciting employers in the area and offers great career opportunities. With each of its 11 faculties and more than 100 departments offering state-of-the-art study programmes that are grounded in research in a wide range of academic fields, Ghent University is a logical choice for its employees as well as its students.

YOUR TASKS

• At least 70% of your assignment will be spent on academic research in the field of machine learning.

The BioML research group of the Department of Data Analysis and Mathematical Modelling focusses on the development of machine learning methods for the life sciences. Specific research areas of interest are multi-target prediction, sequence learning, time series analysis, uncertainty quantification and probabilistic models. In terms of applications the focus is on analyzing “omics” data (genomics, transcriptomics, proteomics, etc.). The research of the successful candidate should align with one of these research lines to further consolidate it within the research group and to support PhD students whose projects are aligned with one of the research lines.

• You will supervise Bachelor students for their Bachelor dissertation.
• You will supervise Master students for their Master dissertation
• You will supervise doctoral students as co-supervisor
• You take an active role in securing competitive research funding.

WHAT WE ARE LOOKING FOR

• You hold a doctoral degree in computer science, (applied) mathematics, physics, (bioscience) engineering, engineering technology, or a related field. The degree requirement needs to be fulfilled at the start of your appointment. For diplomas awarded outside the European Union, a certificate of equivalence (NARIC) must be submitted
• You have already conducted research within the field of machine learning.
• You have distinguished yourself as a promising researcher in your doctorate
• You are profoundly interested in coaching students in the Bachelor’s, Master’s and/or Advanced Master’s programmes
• You may present relevant scientific publications in (inter)national peer-reviewed academic journals that are widely disseminated

WHAT WE CAN OFFER YOU

• We offer you a temporary appointment of 3 years. A second appointment of up to 3 years can follow, subject to a favourable evaluation of the first term
• Even if you have already been appointed earlier (whether or not at another university and whether or not in the same field of discipline) in a first term of up to three years, you can apply
• The second appointment does not have to be immediately connected to a first term
• Your appointment will start on 1 January 2027 at the earliest
• All Ghent University staff members enjoy a number of benefits, such as a wide range of training and education opportunities, 36 days of paid leave, bicycle commuting reimbursement, ecocheques, etc. A complete overview of all our fringe benefits

As Ghent University maintains an equal opportunities and diversity policy, everyone is encouraged to apply for this position.