Postdoc in Stochastic Morphology & Shape AI

KU - SCIENCE - DATALOGISK INSTITUT - UP1; København; On-site; DKK 420,000 - 520,000; Full time

Job summary

KU - SCIENCE - DATALOGISK INSTITUT - UP1 invites applications for a 24‑month postdoctoral fellowship focused on stochastic models of morphology evolution within the morphAI project. The successful candidate will perform research and provide limited teaching, with the expectation of active collaboration across mathematical and computational aspects.

Physical presence at the workplace is expected. Applicants should hold a PhD in mathematics, statistics, computer science, or related fields, with a

Qualifications

• PhD degree in a relevant field (math, stats, CS) is required.
• Strong publication record in top journals/conferences.
• Proven ability to collaborate across mathematical and computational domains.
• Experience implementing numerical algorithms for shape/morphology problems.

Responsibilities

• Conduct research within the morphAI project and related stochastic morphology models.
• Provide limited teaching duties as part of the postdoctoral role.
• Actively collaborate with project participants on both theoretical and computational work.
• Contribute to development and dissemination of open-source software for the project.

Skills

PhD in Mathematics, Statistics or CS

Top publications

Collaborative skills

Numerical implementation

Education

PhD in Mathematics, Statistics, Computer Science

Job description

KU - SCIENCE - DATALOGISK INSTITUT - UP1 invites applications for a 24‑month postdoctoral fellowship focused on stochastic models of morphology evolution within the morphAI project. The successful candidate will perform research and provide limited teaching, with the expectation of active collaboration across mathematical and computational aspects.

Physical presence at the workplace is expected. Applicants should hold a PhD in mathematics, statistics, computer science, or related fields, with a