Assistant Professor in Methodology and Statistics

Maastricht University; Maastricht; Hybrid; EUR 55,000 - 75,000; Full time

Benefits offered by this job

Gross monthly salary €4,925–€6,682

8% holiday allowance

8.3% year-end bonus

29 vacation days

Flexible working hours

Home office allowance

Work from home option

ABP pension

Fitness schemes

University sports facilities

Inspiring work environment

Job summary

Maastricht University invites applications for an Assistant Professor in Methodology and Statistics within the Faculty of Psychology and Neuroscience. You will develop methodological and statistical approaches while contributing to high-quality research and education.

The role emphasizes collaboration across disciplines and innovative teaching, with a focus on Bayesian inference, causal inference, and multilevel modelling.

Qualifications

• Academic expertise in methodology and statistics.
• PhD in Statistics, Psychometrics, Biometrics, Econometrics or related field and active publications.

Responsibilities

• Contribute to education and research in methodology and statistics.
• Inspire psychology students to develop methodological and statistical skills.
• Teach and coordinate statistics and methodology courses in degree programs.
• Develop and evaluate educational activities and teaching materials.
• Conduct independent and collaborative research in Bayesian, causal and network methods.
• Provide methodological and statistical support to students and staff.
• Collaborate with interdisciplinary teams across faculties.
• Contribute to methodological innovation across the university.

Skills

Academic expertise

Strong analytical

Programming (R)

Collaborative

Education

PhD in Statistics or related field

Tools

R

JASP

Job description

Assistant Professor in Methodology and Statistics

Welcome to Maastricht University! Do you enjoy developing methodological and statistical approaches to helping researchers answer complex scientific questions? As Assistant Professor in Methodology and Statistics, you contribute to high-quality research and education while advancing methodological innovation within the Faculty of Psychology and Neuroscience. In this role, you help strengthen the scientific foundations that enable impactful research and evidence-based education.

Our goal:

To support high-quality research and education within the Faculty of Psychology and Neuroscience through methodological innovation, statistical expertise and interdisciplinary collaboration.

Your colleagues:

You will join an engaged and collaborative team of researchers and teachers who share a passion for methodology, statistics and scientific quality. Together, you contribute to methodological innovation in an interdisciplinary environment and you support students and researchers across the faculty. The department works closely with colleagues from the Department of Methodology and Statistics within the Faculty of Health, Medicine and Life Sciences, creating a vibrant academic network with expertise across a broad range of methodological and statistical domains. These include multilevel and mixed models, structural equation modelling, item response theory, intensive longitudinal data analysis, missing data methods, clustering techniques, reliability and agreement, and optimal design.

As Assistant Professor, you combine research, teaching and consultancy activities in a role that contributes directly to the faculty’s educational quality and research excellence. You inspire students, support researchers and help shape methodological innovation within the faculty and beyond.

What you do

You contribute to excellent education and innovative research while strengthening methodological expertise across the faculty.

Inspire and support psychology students in developing the methodological and statistical skills needed for future scientific and professional practice.

Teach and coordinate statistics and methodology courses within the Bachelor's programme in Psychology and, over time, potentially contribute to advanced Master's-level courses.

Develop, implement and evaluate educational activities and teaching materials that promote active and engaging learning.

Conduct independent and collaborative research in methodology and statistics, preferably in areas such as Bayesian inference, causal inference, network analysis, structural equation modelling or multilevel modelling.

Provide methodological and statistical support to students, researchers and staff within the faculty.

Collaborate with interdisciplinary research teams across faculties and research institutes.

Contribute to methodological innovation that strengthens research quality throughout the university.

What you bring

It's not about ticking boxes; it's about your curiosity, expertise and motivation. Do you recognise yourself in this profile?

Within our department, collaboration, curiosity and scientific integrity are central. We are looking for someone who enjoys working with others, takes initiative and is motivated to strengthen both education and research.

• Academic expertise in methodology and statistics

• You hold a PhD in Statistics, Psychometrics, Biometrics, Econometrics or a related field and actively contribute to the scientific community through publications in international peer-reviewed journals.

• Passion for teaching and learning

• You have experience teaching statistics or methodology within the behavioural, social or medical sciences and are motivated to contribute to innovative and student-centred education.

• Strong analytical and programming skills

• You have excellent quantitative and programming skills, particularly in R. Experience with JASP is considered an advantage.

• Collaborative and proactive

• You enjoy working independently while actively contributing to interdisciplinary teams. You take initiative, think analytically and communicate complex ideas in a clear and structured way.

• Strong communicator

• You communicate effectively in English, both written and spoken, and are willing to learn Dutch if you are not yet fluent.

What we offer

• A 12-month contract (1,0 fte) with the prospect of a permanent contract based on mutual satisfaction.
• A gross monthly salary between €4925,00 and €6682,00 (based on full-time employment of 38 hours per week). 8% holiday allowance and an 8.3% year-end bonus.
• 29 vacation days (based on full-time), four additional days off (Carnival Monday and Tuesday, Good Friday, and Liberation Day), and the possibility to accrue up to 12 extra days through compensation hours.
• Flexible working hours, a home office allowance, and the option to work from home.
• Freedom and space to shape your work independently and develop your ideas.
• A close-knit community of colleagues to collaborate and grow with.
• A solid pension plan via ABP, company fitness schemes, and access to various university sports facilities.
• An inspiring work environment in the heart of Europe.

About the Faculty of Psychology and Neuroscience (FPN)

At FPN, we share a curiosity about the human brain and behaviour. Together with our students, we explore how our brains function and learn why we do what we do. We connect perspectives and contribute to living together in society.

Interested?

Want to know more about this position or what it’s like to work at our university? Reach out to Prof. dr. Sophie Vanbelle via [e-mail].

The end date of the publication is 22 November 2026. Interviews will be in week 49.

Required documents:

• CV
• Motivation letter
• Two references

About Maastricht University

At Maastricht University, we collaboratively seek solutions to help move the world forward. We do this with 23,300 students and 5,400 employees across 5 regional locations, 6 faculties, and more than 70 research institutes. We encourage you to push boundaries and discover new opportunities for yourself and the world around you. Together, we can find the answers for tomorrow.

The vacancy is open for internal and external candidates. In case of equal qualifications, internal candidates will be prioritized.

At Maastricht University, we prefer to contact potential candidates directly. We therefore kindly ask that no agencies or intermediaries submit offers or approaches.

Maastricht University is committed to promoting and nurturing a diverse and inclusive community. We believe that diversity in our staff and student population contributes to the quality of research and education at UM, and strive to enable this through inclusive policies and innovative projects led by teams of staff and students.