Bitr. universitetslektor i Maskininlärning vid ISY
Core
Developing reliable methods for visual machine learning, focusing on trustworthy generative visual models, uncertainty quantification, bias, fairness, and statistical/geometric properties of visual and simulated data.
Role type
Assistant Professor (Research & Teaching)
Builds
Research outputs, PhD supervision, and educational programs in machine learning
Domain
Computer Science / Machine Learning / Statistics
Deliverable
production ML models | research
Required skills
Machine learning, generative models, uncertainty quantification, bias and fairness analysis, statistical analysis, deep learning, mathematical analysis, research proposal writing, grant writing, academic publishing, PhD supervision, teaching
Preferred skills
Cross-disciplinary research (materials science, life sciences, digital forensics), leadership roles, external collaboration
Technologies
Deep learning frameworks, statistical software, simulation tools
Responsibilities
Conduct independent research in visual machine learning, supervise PhD students, teach courses, secure external research funding, participate in academic seminars and workshops, contribute to university development initiatives
Seniority
Mid-level academic researcher (Assistant Professor track)
