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developing synthesis and verification techniques based on, e.g., model checking combined with machine learning, to facilitate guaranteeing safety and security of industrial autonomous systems. The employment
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. Use advanced data processing services to perform bioinformatic analysis. Apply machine learning methods to complex sequencing and protein structure data. Qualifications You should have a minimum a high
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driving the integration of methods in artificial intelligence (AI) and machine learning (ML) to improve and optimize workflows when developing therapeutic antibodies. Duties – what we expect from you As an
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to learn Swedish, to facilitate teaching and research collaboration. Chalmers offers Swedish courses. Mandatory A PhD degree in a relevant field of research, awarded no more than three years prior
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and its relation to practical implementation. Understanding analogue and digital circuit design. Fluency in mathematics, especially within linear algebra and optimization. Experience from using machine
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), an interdisciplinary research environment with around 40 researchers from various disciplines. CSR places great emphasis on ensuring that research results are effectively communicated and contribute to learning, policy
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of AI and machine learning methods for advanced modelling and analysis of energy and industrial processes Experience with high-temperature processes, particularly in metal and mineral processing
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on developing methods for the verification and validation of systems that embed machine learning or generative models, addressing challenges such as non-determinism, data drift, and explainability. The project
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such as energy, industry, consumption, and urban development. At the research frontier, the application of AI and machine learning is enabling novel pathways for sustainability transitions. These include
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receive five weeks of training in teaching and learning in higher education and also get the opportunity to learn Swedish through the University’s Swedish language courses for new international staff. We