
Professor II (20 %) in Artificial Intelligence and causal analysis
- Bergen, Vestland
- Midlertidlig
- Deltid
- Significant research contributions equivalent to that of a professor.
- Research competence in artificial intelligence, data science, computer science, statistics, or a related field with a focus on AI methods and/or causal data analysis.
- Documented interest in causal data analysis and/or in the development or application of advanced AI techniques.
- Strong theoretical knowledge and substantial practical experience in applying AI to complex, real-world datasets.
- Expertise in one or more of the following is highly desirable:
- Advanced variable/feature selection (e.g., LASSO, Elastic Net, Random Forests, wrapper methods).
- Dimensionality reduction/feature aggregation (e.g., autoencoders, PCA, manifold learning).
- Pattern recognition neural networks (e.g., Tsetlin Machines, Graph Neural Networks, RNNs for time-series causal discovery, XGBoost).
- AI-driven heuristic search (e.g., genetic algorithms, genetic programming, simulated annealing).
- Interest and ability to work in interdisciplinary research.
- High proficiency in written and spoken English.
- Solid track record of peer-reviewed publications.
- Suitability for the position, including excellent cooperation and communication skills, and enthusiasm for the work.
- A professionally stimulating work environment.
- The position is 20% of a full-time post. The current annual salary for a full-time position is NOK 967 000 before taxes for Professor II (code 1013) and NOK 757 600 before taxes for Associate Professor II (code 1011). A higher salary may be considered for particularly well-qualified applicants.