The candidate will be involved an ambitious research project aimed at leveraging integrative multi-omics data analysis. This analysis will be focused on evaluating meal studies at the functional level, specifically utilizing advanced pathway and network analysis techniques. The overarching goal is to unravel the intricate relationships between nutrition, meal composition, and human health at a molecular and systemic level.

• Develop and apply state-of-the-art computational methods to integrate and analyse large-scale multi-omics datasets.
• Work closely with a multidisciplinary team to analyse meal studies.
• Contribute to the development of innovative strategies to identify key molecular pathways and networks influenced by dietary interventions.
• Communicate research findings through scientific publications, presentations, and participation in international conferences.
• Engage in collaborative activities within the NUTRIOME Doctoral Network.
• Take part in teaching and supervisory roles for undergraduate and master students, as required.

• Master’s degree in bioinformatics, computational biology, systems biology, or a related field.
• Experience with programming languages such as R, Python, or equivalent.
• Familiar with the analysis of large-scale omics datasets (e.g., genomics, transcriptomics, proteomics, metabolomics).
• Strong understanding of pathway and network analysis tools and methodologies.
• Demonstrated ability to communicate research findings effectively both orally and in writing.
• Highly motivated, with a proactive approach to problem-solving and the ability to work independently as well as part of a team.
• Comply with the mobility rules: in general, you must not have resided or carried out your main activity (work, studies, etc.) in the country of the recruiting organisation for more than 12 months in the 36 months immediately before their recruitment date.

What we offer

As PhD-candidate at Faculty of Health, Medicine and Life Sciences, you will be employed by the most international university in the Netherlands, located in the beautiful city of Maastricht. In addition, we offer you:

• Good employment conditions. The position is graded in scale P according to UFO profile Promovendus, with corresponding salary based on experience ranging from €2770,00 and €3539,00 gross per month (based on a full-time employment of 38 hours per week). In addition to the monthly salary, an 8.0% holiday allowance and an 8.3% year-end bonus apply.
• An employment contract for a period of 12 months with a scope of 1.0 FTE. Upon a positive evaluation, an extension of 3 years will follow.
• At Maastricht University, the well-being of our employees is of utmost importance, we offer flexible working hours and the possibility to work partly from home if the nature of your position allows it. You will receive a monthly commuting and internet allowance for this. If you work full-time, you will be entitled to 29 vacation days and 4 additional public holidays per year, namely carnival Monday, carnival Tuesday, Good Friday, and Liberation Day. If you choose to accumulate compensation hours, an additional 12 days will be added. Furthermore, you can personalize your employment conditions through a collective labor agreement (CAO) choice model.
• As Maastricht University, we offer various other excellent secondary employment conditions. These include a good pension scheme with the ABP and the opportunity for UM employees to participate in company fitness and make use of the extensive sports facilities that we also offer to our students.
• Last but certainly not least, we provide the space and facilities for your personal and professional development. We facilitate this by offering a wide range of training programs and supporting various well-established initiatives such as 'acknowledge and appreciate'.
  The terms of employment at Maastricht University are largely set out in the collective labor agreement of Dutch Universities. In addition, local provisions specific to UM apply. For more information, click here.

Maastricht University

Why work at Maastricht University?
At Maastricht University (UM), everything revolves around the future. The future of our students, as we work to equip them with a solid, broad-based foundation for the rest of their lives. And the future of society, as we seek solutions through our research to issues from all around the world. Our six faculties combined provide a comprehensive package of study programmes and research.

In our teaching, we use the Problem-Based Learning (PBL) method. Students work in small groups, looking for solutions to problems themselves. By discussing issues and working together to draw conclusions, formulate answers and present them to their peers, students develop essential skills for their future careers.

With over 22,300 students and more than 5,000 employees from all over the world, UM is home to a vibrant and inspiring international community.

Are you drawn to an international setting focused on education, science and scholarship? Are you keen to contribute however your skills and qualities allow? Our door is open to you! As a young European university, we value your talent and look forward to creating the future together.

Click here for more information about UM.

Faculty of Health, Medicine and Life Sciences

At the Faculty of Health, Medicine and Life Sciences (FHML), everything revolves around healthy living. Our research and education are not solely focused on recovery, but place a strong emphasis on prevention, health preservation, and health promotion. Our aim is to use our knowledge and expertise to genuinely contribute to the well-being of individual people as well as society in total.

In, research, and healthcare, FHML is closely collaborating with the academic hospital in Maastricht, together forming the Maastricht University Medical Center (MUMC+). FHML is strongly connected in education, research, and care with the Maastricht academic hospital, together with which it forms the Maastricht University Medical Centre (MUMC+).

FHML, which is the largest faculty of Maastricht University, is formed by an (inter)national community of employees and students. The faculty offers a wide range of Dutch and English-taught bachelor's and master's programs in innovative educational concepts in which the emphasis is always on building bridges to practice.

The multidisciplinary research of the FHML focuses on a number of carefully chosen topical current themes. In addition to research aimed at gaining new insights, it also concerns research whose results can be directly translated into concrete applications and innovations. The implementation of the various research programs is organized in our six graduate schools and two institutes.

NUTRIM - Institute of Nutrition and Translational Research in Metabolism
NUTRIM aims to contribute to health maintenance and personalized medicine by unraveling lifestyle and disease-induced derangements in metabolism and by This is facilitated by a state of the art research infrastructure and close interaction between scientists, clinicians, master, and PhD students.

https://www.maastrichtuniversity.nl/research/school-nutrition-and-translationalresearch-metabolism

Department of Bioinformatics-BiGCaT
The Department of Bioinformatics has an international and interdisciplinary team working on integrative systems biology in close collaboration with other scientists and institutions worldwide. Founded in 2001, the research group is part of the NUTRIM Institute of Nutrition and Translational Research in Metabolism at the Faculty of Health, Medicine and Life Sciences at Maastricht University.

NUTRIOME Doctoral Network

NUTRIOME - Precision nutrition and postprandial immune responses is a MSCA Doctoral Network. The NUTRIOME network involves academic partners at nine European academic institutions and six associated partners from industry across Norway, Poland, The Netherlands, Germany, Denmark, Finland, Sweden, Ireland, and the United Kingdom. The purpose of the NUTRIOME network is to train 10 RDCs in data-driven precision nutrition through human intervention studies, omics-technologies and advanced data analyses, in order to evaluate personal responses to foods and diets.