TU/e PhD in Statistical Bioinformatics 2026 | Eligibility and How to Apply

Eindhoven University of Technology (TU/e) in the Netherlands is offering a fully funded PhD position in Statistical Bioinformatics within its Department of Mathematics and Computer Science. This is a four-year research role that comes with a competitive salary, generous benefits, and the opportunity to contribute to cutting-edge statistical methodology for biomedical data. Unlike traditional scholarships, this is a paid employment contract, meaning you are not just a student but a salaried researcher from day one.

This opportunity is designed for graduates who have a strong foundation in mathematics or statistics and are interested in applying that knowledge to biological and biomedical problems. Whether your background leans toward pure statistics, applied mathematics, or computational biology, this position welcomes researchers who are curious, collaborative, and ready to produce meaningful scientific work.

In this post, you will find everything you need to know about this PhD position, including eligibility requirements, the application process, key dates, documents needed, and practical tips to strengthen your application.

Scholarship Overview

Eligibility

To be considered for this PhD position, applicants must meet the following criteria:

1. Citizenship: There is no citizenship restriction mentioned. International candidates are explicitly welcomed, and TU/e offers a dedicated Staff Immigration Team and a 30% tax facility for international hires.
2. Academic qualifications: You must hold a master’s degree or equivalent university degree in Mathematics, Statistics, or a closely related field. Your degree must be completed before the start of the position.
3. Work experience: Not required, though experience in the analysis of biological or omics datasets is listed as an advantage.
4. Language requirements: Fluency in spoken and written English is required at a minimum of C1 level (on the Common European Framework of Reference for Languages). No Dutch language requirement is mentioned.
5. Other requirements: You should demonstrate curiosity and motivation for research, interest in interdisciplinary work, willingness to contribute to teaching (between 10% and 15% of your time), and strong communication skills. You should also be open to working across statistical and biomedical domains.

Eligible Countries

This position does not list a restricted set of eligible countries. Applications appear to be open to graduates worldwide, with TU/e providing immigration support and tax incentives for international hires.

Below are example regions from which applicants are encouraged to apply:

Africa: Algeria, Egypt, Ethiopia, Ghana, Kenya, Morocco, Nigeria, Senegal, South Africa, Tanzania, Uganda, Zimbabwe, and all other African nations

Asia: Bangladesh, China, India, Indonesia, Iran, Japan, Malaysia, Pakistan, Philippines, South Korea, Sri Lanka, Thailand, Vietnam, and others

Americas: Argentina, Brazil, Canada, Chile, Colombia, Mexico, Peru, United States, and others

Europe: All EU and non-EU European countries including France, Germany, Italy, Poland, Romania, Spain, Turkey, Ukraine, United Kingdom, and others

Middle East: Egypt, Iran, Iraq, Jordan, Lebanon, Saudi Arabia, Turkey, UAE, and others

Other: Australia, New Zealand, and Pacific Island nations

Eligible Fields of Study

This PhD position is specifically focused on the intersection of statistics and bioinformatics. It is not open to all fields of study. The eligible academic background includes:

• Mathematics (pure or applied)
• Statistics
• Biostatistics
• Bioinformatics
• Data Science (with strong mathematical or statistical foundations)
• Closely related quantitative disciplines

Research work will involve latent variable models, multi-omics data, longitudinal data integration, and goodness-of-fit methodology. Applicants from computer science or biology backgrounds may be considered if they have substantial training in statistics or mathematics.

Benefits

This is a paid employment position, not a traditional scholarship grant. The full package includes:

1. Monthly salary: You will earn between EUR 3,059 and EUR 3,881 per month (gross), as per the Collective Labour Agreement for Dutch Universities, scale P.
2. Year-end bonus: An 8.3% year-end bonus is included on top of the base salary.
3. Annual vacation pay: An additional 8% vacation allowance is paid annually.
4. Pension scheme: You are enrolled in a university pension scheme from the start of your contract.
5. Parental and maternity leave: Paid pregnancy and maternity leave is provided. Partially paid parental leave is also available.
6. Contract duration: Full-time (1.0 FTE) for four years, with a review after nine months.
7. Allowances: You receive allowances for commuting, working from home, and internet costs.
8. On-campus facilities: Access to childcare facilities, sports centers, and a subsidized TU/e Student Sports Center membership.
9. Tax benefit for international hires: Eligible international candidates may benefit from the 30% tax facility, which significantly reduces the effective tax burden in the Netherlands.
10. Immigration support: A dedicated Staff Immigration Team assists with relocation and visa matters.

Training: Access to high-quality professional development programs throughout the four-year period.

Required Documents

Based on the official posting, your application must include the following:

1. Cover letter describing your motivation for this specific position and your relevant qualifications
2. Curriculum vitae (CV) including a list of publications (if any)
3. Contact information for three academic or professional references (note: references may be contacted at any stage of the process)
4. Master’s degree certificate or proof of expected completion
5. Official academic transcripts
6. Proof of English language proficiency at C1 level or above (if applicable) 

Ensure all documents are submitted through the online application portal. Applications sent by email or post will not be processed.

How to Apply

Follow these steps carefully to submit a complete application:

Step 1: Read the full job description on the TU/e website to confirm you meet all requirements before starting your application.

Step 2: Gather all required documents, including your CV, cover letter, transcripts, degree certificate, and reference contact information.

Step 3: Notify your three referees that you are applying and that TU/e may contact them at any stage. Confirm their availability and willingness to serve as references.

Step 4: Write a focused cover letter. Address why you are specifically interested in this PhD topic (latent variable models, multi-omics data, longitudinal designs), what relevant skills or experience you bring, and what your research goals are.

Step 5: Tailor your CV to highlight mathematical and statistical skills, any experience with biological or omics data, programming experience (especially R), and any teaching or collaborative experience.

Step 6: Visit the official TU/e vacancy page for this position and click the “Apply now” button to access the online portal.

Step 7: Upload all required documents in the formats specified by the portal. Double-check that every field is completed and every file has been successfully uploaded.

Step 8: Review your full application before submission. Ensure your cover letter is specific to this role and free of errors.

Step 9: Submit your application before the deadline of 17 May 2026. You will receive a confirmation once your application has been received.

Step 10: After submission, monitor your email for correspondence from TU/e’s HR services, as shortlisted candidates may be contacted for further steps or interviews.

Key Dates and Timeline

The vacancy will remain open until the position is filled, so early applications are strongly encouraged.

Application Deadline

The application deadline is 17 May 2026.

No specific time or timezone has been stated in the official posting. To be safe, aim to submit your application well before the end of business (17:00 CET) on that date. Applications submitted after this date will NOT be accepted. Do not wait until the final day, as technical issues can cause delays.

Selection Criteria

The selection panel will assess more than just academic scores. Based on the posting, here is what they are looking for:

1. Academic excellence: A strong master’s degree in a relevant quantitative field is essential. Candidates with high academic achievement and solid mathematical training will be prioritised.
2. Research motivation: The committee wants to see that you are genuinely curious and driven by scientific questions. Your cover letter must reflect a clear understanding of what the project involves.
3. Relevance of background: Experience with biological or omics datasets, familiarity with R programming, and any background in latent variable models or dimension reduction techniques will be advantageous.
4. Interdisciplinary openness: The project involves collaboration with biomedical researchers and applied domain experts. Your ability and willingness to work across disciplines will be assessed.
5. Communication skills: Excellent written and spoken English is required. Candidates should be able to present their work clearly to both statistical and non-statistical audiences.
6. Teaching motivation: As at least 10% of your time will involve teaching, the committee will look for candidates who show an interest in developing their teaching abilities and mentoring students.

Important Tips

1. Apply early. The vacancy states it will remain open until the position is filled. Do not wait until 17 May if your application is ready sooner.
2. Write a project-specific cover letter. Generic letters will not stand out. Mention latent variable models, multi-omics integration, or longitudinal data in your letter to show you have read and understood the project.
3. Demonstrate R skills. The position explicitly involves developing R packages. If you have R programming experience, highlight it clearly in your CV and cover letter.
4. Quantify your academic achievements. Where possible, include your GPA, class rank, or other indicators of strong academic performance.
5. Choose references wisely. Select referees who can speak to your mathematical or statistical ability, and ideally to any experience with biological data or interdisciplinary projects.
6. Brief your referees thoroughly. Share the job description with them so they can tailor their reference to what TU/e is looking for.
7. Mention any open-source contributions. If you have contributed to statistical software, published code, or maintained any R or Python packages, list these in your CV.
8. Research the Statistics group at TU/e. Familiarise yourself with the work of Prof. Jeanine Duistermaat and her research group. Referencing specific work in your cover letter shows genuine interest and preparation.
9. Ensure your English is polished. Since no formal English test may be required, your cover letter and CV are your only evidence of language proficiency. Have a native speaker or professional editor review them.

Frequently Asked Questions

Do I need to be from the Netherlands or Europe to apply?

No. The position is open to international applicants from any country. TU/e provides immigration support and a 30% tax facility specifically for international hires relocating to the Netherlands.

Is this a scholarship or a job?

This is a paid employment contract, not a traditional scholarship. You will be a salaried university employee receiving a monthly salary between EUR 3,059 and EUR 3,881, along with full employment benefits.

Can I apply if I am still completing my master’s degree? 

The posting does not explicitly address this. It is advisable to contact the HR team at hrservices.mcs@tue.nl to confirm whether applications from students who will graduate before the start date are accepted.

What programming languages should I know? 

The position specifically involves developing R packages, so R is the most important language. Familiarity with statistical computing environments will be a strong advantage.

Do I need prior experience with biological or omics data?

No, it is listed as beneficial but not required. A strong background in mathematics and statistics is the primary requirement.

Can I apply if my degree is in data science or computer science rather than mathematics or statistics? 

Degrees in closely related fields may be considered. The key requirement is a strong quantitative background. If you are unsure, contact Prof. Jeanine Duistermaat directly at j.j.duistermaat@tue.nl before applying.

How competitive is this position? 

PhD positions at TU/e in the Brainport Eindhoven region attract strong international applicants. A clear, tailored cover letter and a solid quantitative master’s degree are essential to stand out.

Will I need to relocate to Eindhoven?

Yes. This is an on-campus, full-time position. However, TU/e offers commuting and home-working allowances, and the Staff Immigration Team assists with the relocation process.

Official Link

Apply directly through the TU/e vacancy portal using the reference number 2026/253. You can access the official posting and application button here:

https://www.tue.nl/en/working-at-tue/current-vacancies

For questions about the role, contact the hiring manager Prof. Jeanine Duistermaat at j.j.duistermaat@tue.nl. For questions about the application process, contact HR services at hrservices.mcs@tue.nl

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