The Department of Mathematics at Aarhus University, Denmark, a top 100 university, invites applications for attractive PhD stipends.

The application deadline is 1 August, 2026, with the earliest start date 1 November, 2026. 

Further details and application instructions are available at: https://math.au.dk/en/about/vacancies/phd

The webpage includes brief subject descriptions and links to individual PhD stipend calls. New research areas may be added until the application deadline.

Beyond the research conducted during the PhD project, a successful candidate is expected to teach three to four hours weekly during the semester.

• The Department of Mathematics, the city of Aarhus as well as Denmark can offer the successful candidate:
• A positive and international work environment with a flat hierarchy.
• A competitive salary, starting at around 4800 Euro (incl. pension) for candidates with a master's degree.
  Universal health insurance as a resident of Denmark, including family members officially residing in Denmark.
   

Department of Science and Environment, Roskilde University, invites applications for a postdoc position in translational mathematical modelling of energy expenditure - Prediction of clinical weight loss and whole-body energy expenditure from September 1st, 2026, or as soon as possible thereafter. The position is limited to a period of 2 years and is part of an ongoing collaboration between Novo Nordisk and Roskilde University.

Obesity is a complex chronic disease affecting more than one billion people worldwide. During the last decade, a number of efficacious appetite-regulating obesity medications have been approved, and a key differentiator for future obesity therapies could be the modulation of energy expenditure (EE). However, the successful translation of EE-targeting interventions from preclinical research to clinical efficacy remains a major challenge, and only a limited number of such therapies have reached regulatory approval.

This project aims to refine and extend existing preclinical and clinical energy-balance models to improve the prediction of human weight loss induced by EE targets based on in vitro and animal data. The research will focus on emerging EE targets, organ-specific EE mechanisms, futile metabolic cycles, and other energy-expending processes. Ultimately, the project aims to strengthen translational predictability, advance our understanding of obesity pathophysiology, and support the development of novel obesity treatments.

Achieving reliable translation of EE effects from in vitro and preclinical studies to humans requires advanced nonlinear ordinary and stochastic differential equation (ODE/SDE) modelling, combined with quantitative system pharmacology (QSP) approaches. The modelling framework will integrate diverse in vitro and in vivo EE datasets from Novo Nordisk, supplemented by project-specific experimental studies where necessary.

Application deadline is on August 10, 2026.

More information can be found here.