Postdoc: AI-Driven Cellular Dynamics & Multiscale Modeling

Karlstad University; Solna kommun; On-site; SEK 487,487 - 649,983; Full time

Job summary

Karlstad University is seeking a Postdoctoral Researcher in AI Modeling of Cellular Dynamics as part of the Alpha Cell Program. This position emphasizes method development to create scalable neural-network architectures representing molecular compositions at the cellular level.

Ideal candidates will hold a PhD in relevant fields and possess strong programming skills, proficiency in English, and an ability to work independently. The role offers significant methodological independence and collaboration with diverse professionals.

Qualifications

• PhD or a foreign degree deemed equivalent to a Swedish PhD.
• Completed doctoral degree within the last three years is advantageous.
• Prior biological experience is not required.

Responsibilities

• Develop next-generation AI models of cellular dynamics.
• Integrate spatial imaging data with time-resolved molecular measurements.
• Collaborate closely within the Alpha Cell program.

Skills

Strong programming skills (e.g., Python)

Experience with modern ML frameworks

Ability to conduct independent research

Collaborate in an interdisciplinary environment

Proficiency in written and spoken English

Experience with complex or high-dimensional systems

Physics-informed or constraint-based machine learning

Experience with dynamical systems

Background in multiscale modeling

Familiarity with biological data

Education

PhD in physics, systems biology, applied mathematics, or related fields

Job description

Karlstad University is seeking a Postdoctoral Researcher in AI Modeling of Cellular Dynamics as part of the Alpha Cell Program. This position emphasizes method development to create scalable neural-network architectures representing molecular compositions at the cellular level.

Ideal candidates will hold a PhD in relevant fields and possess strong programming skills, proficiency in English, and an ability to work independently. The role offers significant methodological independence and collaboration with diverse professionals.