Academic Employee for applied statistics (statistician) to Aarhus University in Flakkebjerg

Ansøgningsfrist 10. aug. 23:59 CEST

Forventet start 1. jan.

• Institut for Agroøkologi - Afgrødesundhed Forsøgsvej 1 4200 Slagelse
• Tidsbegrænset fuldtidsstilling 1. jan. 2027 - 1. jan. 2029 ID: 165118

Do you want to contribute to the statistics in research projects, and do you want to be part of a developing research team in an international environment? Then you may be interested in our position as Academic Employee for applied statistics.

The Department of Agroecology, Aarhus University, invites applications for a 2-year position as Academic Employee starting 1 January 2027, or as soon as possible thereafter.

About the job
The main activity for our new colleague is to support scientific staff with statistical analysis in the form of advisory consultations as well as performing analysis for specific projects. In collaboration with scientific staff the relevant candidate will work to contribute to ensure the scientific integrity of the Department’s research through thorough and high-level statistical analysis.

A broad understanding of statistical modelling is required to match the research at different scales from individual laboratory experiments to large-scale long-term studies. Methodologies that the statistician is required to know about are general and generalised mixed effects modelling, multivariate analysis, time series analysis, non-linear least squares fitting and classical statistics.

It is expected that the candidate can collaborate with researchers at different levels of statistical knowledge and support the research at the Department of Agroecology with professional statistical knowledge and solutions.

Your profile
We are looking for a person with some of the following personal and professional qualifications:

• Good communication skills and you are self-organised and interested in developing the statistical rigour of the Department.
• The ability to explain statistics in a way that is understandable to both junior and senior researchers with backgrounds outside of statistics.
• Availability to assist developing courses in statistics for undergraduate and graduate students together with the academic staff of the Department of Agroecology.
• PhD degree and research experience within a relevant field where applied statistics have been a key element in your work.
• Experience with data handling and flexibility in using a wide range of statistical methodologies, both frequentist and Bayesian.
• Demonstrated proficiency in classical statistical methods (analysis of variance, regression, mixed model analysis, generalised linear models, categorical data analysis, non-parametric analysis, multivariate statistics).

Who we are
At the Department of Agroecology our main goal is to contribute to sustainable solutions to some of the world’s biggest problems within the areas of soil, plants, animals, humans and the environment. We want to make a difference by contributing to both fundamental knowledge generation and the attainment of sustainable production systems via innovative research, contracted policy advice and education. We offer professional laboratories, greenhouses, semi-field and field-scale research facilities, advanced computing capacities as well as an extensive national and international researcher network. The Department consists of nine research sections with around 360 highly dedicated employees of which approximately 50 % are scientific staff. More information can be found here.

What we offer

• A collaborative, international research environment that combines high academic standards with an informal and supportive atmosphere. We value accountability, curiosity, flexibility, and teamwork in everything we do.
• An inclusive and respectful workplace culture, where mutual trust, kindness, and professional dialogue are part of daily life. We encourage open communication and develop a cohesive sense of community across teams and disciplines.
• A flexible working environment that supports work-life balance and individual needs.
• An active institutional commitment to diversity, equity, and inclusion – in recruitment, career development, and everyday interactions.
• An innovative and meaningful workplace where your work contributes to solving real-world challenges. No two days are alike, and we welcome creative thinking and new ideas.

Living and working in Denmark

• Subsidised childcare and free education from primary school through university.
• Universal healthcare for you and your family as residents.
• Five weeks of paid holiday per year.
• Generous parental leave – up to 52 weeks shared between parents, with full or partial salary.

Workplace
Your workplace will be at the Department of Agroecology, Forsøgsvej 1, Flakkebjerg, 4200 Slagelse, Denmark. Flakkebjerg is located about 1 hour drive from Copenhagen which is the capital in Denmark.

Contact information
More information can be obtained from Head of Department Jørgen E. Olesen: e-mail or phone: Se telefonnummer på studerendeonline.dk.

Deadline
All applications must be recevied no later than 10 August 2026.

Formalities and salary range
Salary and terms as agreed between the Danish Ministry of Taxation and the Confederation of Professional Unions.

You will be employed as an academic staff member at basic salary grades 4–8.

Aarhus University’s ambition is to be an attractive and inspiring workplace for all and to foster a culture in which each individual has opportunities to thrive, achieve and develop. We view equality and diversity as assets, and we welcome all applicants.

The application must be submitted via Aarhus University’s recruitment system, which can be accessed under the job advertisement on Aarhus University's website.

Spørgsmål til stillingen ?

Jørgen Eivind Olesen Institutleder, Institut for Agroøkologi Se telefonnummer på studerendeonline.dk e-mail

Spørgsmål til ansøgning og proces ?

Administrationscenter Nat-Tech - Nat-Tech HR Se telefonnummer på studerendeonline.dk e-mail

Søg stillingen Ansøgningsfrist: mandag den 10. aug. 2026 kl. 23:59 CEST