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PhD position in Bioinformatics of the Microbiome

Research / Academic
Amsterdam

Are you fascinated by the microbiome and its interaction with the human host? Microbiome research has flourished in the last decade, thanks in no small part to the relative ease with which large volumes of metagenomics sequencing data can be generated. Bioinformatics method development has advanced, but to this date, the human microbiome is mostly studied in terms of ‘who’s there’, followed by indicators of microbial metabolism and some specific molecular classes, such as antibiotics resistance. Long-standing biomedical knowledge says that an important part of the interaction between microbes and especially with hosts are determined by structural interactions, but this has been all but ignored. State of the art bioinformatics methods can tackle this challenge! Do you want to address this oversight with us?

In this PhD project, the objective is to develop and extend bioinformatics methods that can mine metagenomic sequencing datasets for features that are related to the physical interaction with human cells, and particularly the immune system. For this, you will make use of classical bioinformatics and machine learning approaches to detect features of interest in sequence and protein structural data. Having applied your new methods to metagenomics data, you will also test what kind of statistical considerations are important for interpreting the results.

The advertised position is under the supervision of dr. Anna Heintz-Buschart of the Biosystems Data Analysis group at the Swammerdam Institute for Life Sciences at the University of Amsterdam (UvA). The group has a broad profile in bioinformatics, multivariate statistics and modelling with a growing focus on microbiome research, for example in lively collaborations within UvA’s research priority areas Personalized Microbiome Health and System Biology Host-Microbiome Interaction and the Dutch Holomicrobiome Initiative.

What are you going to do?
You will receive training in and are expected to:

  • complete a PhD thesis within the official appointment duration of four years;
  • design, apply and benchmark bioinformatics algorithms, tools, and workflows to predict central aspects of


host-microbiome interactions based on metagenomics sequencing data of the human microbiome;

  • analyse existing and novel metagenomics datasets using your and existing methods;
  • document your work in an accessible, open science manner;
  • publish the findings in peer-reviewed manuscripts and as part of your PhD thesis;
  • participate in the Faculty of Science PhD training program;
  • be an active member of the Biosystems Data Analysis group, including by supervision of BSc or MSc students.


What do we require?
You have:

  • a MSc degree in bioinformatics; or in data science, informatics, or related subjects with a strong biological or biomedical component;


or in the life or biomedical sciences with a strong informatics component;

  • hands-on experience in omics data analysis and coding skills – experience with microbiome data and machine learning are a plus;
  • fluency in English, written and spoken, and the confidence to use it in scientific communication and publications;
  • enthusiasm for human bioinformatics in microbiome research in a diverse team and the ability to take ownership of the


research project;

Our selection will be based on your academic track record, your skills and ambition, and your enthusiasm and ideas for this research project.

Our offer
We offer a temporary contract for 38 hours a week, preferably starting on 1-12-2024, for the duration of 4 years (the initial contract will be for a period of 18 months and after satisfactory evaluation it will be extended for a total duration of 4 years). This should lead to a dissertation (PhD thesis). We will draft an educational plan that includes attendance of courses and (international) meetings. We also expect you to assist in teaching undergraduates and master students.

Based on a full-time appointment (38 hours per week) the gross monthly salary will range from € 2.872 in the first year to €3.670 (scale P) in the last year. This is exclusive 8% holiday allowance and 8.3% end-of-year bonus. A favourable tax agreement, the ‘30% ruling’, may apply to non-Dutch applicants. The Collective Labour Agreement of Dutch Universities is applicable.

Are you curious about our extensive package of secondary employment benefits like our excellent opportunities for study and development? Take a look here.

Questions?
Do you have questions about this vacancy? Or do you want to know more about our organisation?

Please contact: Dr. Anna Heintz-Buschart, Assistant Professor, email a.u.s.heintzbuschart@uva.nl.

About the Faculty of Science and the Swammerdam Institute for Life Sciences
The Faculty of Science has a student body of around 7,000, as well as 1,600 members of staff working in education, research or support services. Researchers and students at the Faculty of Science are fascinated by every aspect of how the world works, be it elementary particles, the birth of the universe or the functioning of the brain.

The Swammerdam Institute for Life Sciences (SILS) is located at the vibrant Amsterdam Science Park. SILS is one of eight institutes of the University of Amsterdam's Faculty of Science (FNWI). With around 240 employees, SILS carries out internationally high-quality life science research and provides education within various university programs. Research is also carried out in close cooperation with the medical, biotech, chemical, flavor, food & agricultural, and high-tech industries, and revolves around 4 main themes, Cell & Systems biology, Neurosciences, Microbiology and Green Life Sciences.

Application
Do you recognize yourself in the job profile? Then we look forward to receiving your application by 29 September 2024. You can apply online by using the link below.

Applications in .pdf should include:

  • a cover letter where you explain your motivation and suitability for this position in your own words and your CV;
  • contact details of two academic referees.


Please mention the months (not just years) in your CV when referring to your education and work experience.

A knowledge security check can be part of the selection procedure.
(for details: national knowledge security guidelines)

The UvA is an equal-opportunity employer. We prioritize diversity and are committed to creating an inclusive environment for everyone. We value a spirit of enquiry and perseverance, provide the space to keep asking questions, and promote a culture of curiosity and creativity.

Work Hours:

38 hours per week

Address:

Science Park 904