Machine-learning-nederland August 2024

machine-learning-nederland@list.uva.nl

2 participants
3 discussions

PhD position at TU Eindhoven
by Bahram Zonooz 29 Aug '24

29 Aug '24

Dear All, Mykola Pechenizkiy and I are looking for a PhD candidate to work on Foundation Models for Embedded and Embodied AI in Autonomous Driving. This project is part of a large program in collaboration with several academic and industrial partners, including major OEMs in Europe, with a significant impact on the future of safe autonomous driving deployment. You will be developing foundation models for both embedded and embodied AI, focusing on LLM-guided sparsity and learning agents. Your work will involve language-based navigation, training, labeling, and data curation, as well as developing more intuitive LLM-based active learning approaches. Ultimately, you will work towards creating LLM-based scenario descriptions for actor generation in simulations. https://jobs.tue.nl/en/vacancy/phd-on-foundation-models-for-embedded-and-em… Best, Bahram

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PhD position in AI-based satellite data assimilation at TU Delft and BFH
by Angela Meyer 22 Aug '24

22 Aug '24

Dear all, We invite applications for a 4-year PhD position in AI-based satellite data assimilation at TU Delft and BFH to improve weather forecasts. Our group offers a stimulating collaborative research environment and a strong network with industry partners. The PhD student will be enrolled at TU Delft. The project is in collaboration with a weather company. What you'll be doing * Develop machine learning approaches for the assimilation of satellite data in numerical weather prediction to improve weather forecasts * Carry out high-quality research at the intersection of machine learning, satellite remote sensing, and numerical weather prediction * Publish your results in leading international journals and complete your doctorate at TU Delft * Present your work at international conferences * Have the opportunity to assist in teaching and co-supervise undergraduate students Job profile * MSc degree (or equivalent) in physics, computer science, atmospheric/geoscience, data science, engineering, applied mathematics, or a related field * Practical experience in programming (e.g., Python), machine learning and data analysis * Strong analytical and programming skills * Fluency in English, good scientific writing and communication skills * Being self-motivated and proactive, you enjoy working with complex topics and thrive on challenges * Experience in atmospheric research, data assimilation or numerical weather prediction is not necessarily required but will be an advantage Desired start date is October 2024. This may be adjusted by mutual agreement. The position is a full-time position. The annual salary corresponds to approximately 56’000 EUR. To apply, submit your CV, BSc and MSc transcripts, names and contact details of 2–3 references, BSc/MSc theses and publications (if any) to angela.meyer(a)bfh.ch<mailto:angela.meyer@bfh.ch>. Best regards, Angela

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PhD position at TU Delft
by Angela Meyer 22 Aug '24

22 Aug '24

Dear all, We invite applications for a 4-year PhD position in solar energy forecasting at TU Delft and BFH to improve solar energy forecasts. Our group offers a stimulating collaborative research environment and a strong network with industry partners. This project will be performed in collaboration with an energy company. Desired start date is October 2024. This may be adjusted by mutual agreement. The position is a full-time position. The annual salary corresponds to approximately 56’000 EUR. To apply, submit your CV, BSc and MSc transcripts, names and contact details of 2–3 references, BSc/MSc theses and publications (if any) to angela.meyer(a)bfh.ch<mailto:angela.meyer@bfh.ch>. What you'll be doing * Develop advanced solar energy forecasting methods to improve the predictability of solar power production * Carry out high-quality research at the intersection of solar energy, machine learning, and satellite remote sensing * Publish your results in leading international journals and complete your doctorate at TU Delft * Present your work at international conferences * Have the opportunity to assist in teaching and co-supervise undergraduate students Job profile * MSc degree (or equivalent) in physics, atmospheric/geoscience, computer science, data science, engineering, applied mathematics, or a related field * Practical experience in programming (e.g., Python), machine learning and data analysis * Strong analytical and programming skills * Fluency in English, good scientific writing and communication skills * Being self-motivated and proactive, you enjoy working with complex topics and thrive on challenges * Experience with atmospheric and energy-related research or solar forecasting is not necessarily required but will be an advantage Best regards, Angela

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Machine-learning-nederland August 2024