30 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "Simons Foundation" research jobs at Aalborg University in Denmark
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requirements, including link budgets, beam steering, and orbital pointing dynamics. • Experience with optimization methods and physics-informed machine learning. • A strong publication record in antennas
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% of all employees are internationals. In total, it has more than 600 students in its BSc and MSc programs, which are based on AAU's problem-based learning model. The department leverages its unique
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students in its BSc and MSc programs, which are based on AAU's problem-based learning model. The department leverages its unique research infrastructure and lab facilities to conduct world-leading
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are based on AAU's problem-based learning model. The department leverages its unique research infrastructure and lab facilities to conduct world-leading fundamental and applied research within communication
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candidate must have a high level of English language and communication skills, both in writing and verbally. Experience with problem-based learning, project supervision and coordination of teaching activities
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supports innovation, knowledge sharing, and professional development. Learn more about AAU Energy at www.energy.aau.dk. Qualification requirements Appointment as a research assistant requires academic
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working with medium and low voltage high power power modules power converters and power magnetics interfacing to ac sources as electric machines and other power converters. It is also critical relevant you
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advanced laboratory and workshop facilities, and a collaborative environment that supports innovation, knowledge sharing, and professional development. Learn more about AAU Energy at www.energy.aau.dk . How
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sharing, and professional development. Learn more about AAU Energy at www.energy.aau.dk . How to apply Your application must include the following: Application, stating reasons for applying, qualifications
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competencies The ideal applicant profile should demonstrate expertise in one or more of the following areas: optimization algorithms (heuristics, metaheuristics, exact methods), learning-based approaches