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Field
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an excellent environment for deep innovation, out-of-the-box thinking, and creative problem solving. We will teach you what you do not yet know through mentoring, peer support, and many educational opportunities
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of two referees), a statement of research interests and achievements. Essential A PhD or equivalent degree in plasma physics/high energy density science/computational science. Experience in
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(deep learning) for subsurface studies (seismic interpre-tation). A part of the candidate’s job is to contribute to administrative work in the pro-ject and actively participate in communication with other
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are expected to acquire basic pedagogical competency in the course of their fellowship period within the duty component of 25 %. Place of work is the Department of Informatics at Blindern, Oslo. Project
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strong sense of community & inclusion Enjoy a career that makes a difference by collaborating & learning from the best At UNSW, we pride ourselves on being a workplace where the best people come to do
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to develop and deploy advanced AI-driven learning, prediction, and decision-making tools to transform millions of plug-in electric vehicles (EVs) into a vast, distributed network of mobile batteries
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., deep learning methods, multimodal AI) for the automatic identification of behavioral cues during ecological interactions with people and the environment and analyses of video and speech/language data
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. Qualification requirements A PhD degree within neuroscience, psychology, medicine, machine learning or biology or equivalent. Doctoral dissertation must be submitted for evaluation by the closing date
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/unsupervised learning (regression, classification, clustering), ensemble methods, and deep learning architectures (CNNs, RNNs). Experience with explainable AI (e.g., SHAP, LIME) and radiomics preferred
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-platforms-lab . About You (Selection Criteria) You are a motivated and collaborative early career researcher with a strong foundation in AI and machine learning, and a genuine enthusiasm for applying