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are excited by fundamental mathematical questions motivated by real-world scientific and technological challenges. You have: A PhD in Mathematics or a closely related field. A strong research background in one
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fte Introduction Are you in your final year as a PhD candidate or are you currently an assistant professor? Then Rotterdam School of Management, Erasmus University (RSM) Opens external invites you to
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fit to this project; An academic transcript of BSc, MSc and PhD education, including grades; Full Curriculum Vitae, contact information for at least two academic references, and if applicable, a list of
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topics such as quantum-enabled navigation and timing, artificial intelligence-/machin learning-enabled system enhancements, advanced and fully digital payloads, reconfigurable architectures, resilient PNT
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(e.g. Python, Julia), You have an interest in, or experience with, machine learning approaches for scientific data analysis. You have a strong interest in interdisciplinary research and enjoy
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socio-technical challenges. Job requirements The ideal candidate should have: A PhD in a design-related field. Candidates with backgrounds in engineering, psychology, human-computer interaction, or social
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for this position, the following is required: PhD in data or computer science, machine learning, AI, statistics, mathematics, biophysics, bioinformatics. Additional requirements In addition to your CV and your
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in general, demonstrated expertise in analysis and proven practical experience in testing. Expertise with analogue electronics design, computer-aided design (CAD) or electromagnetic simulation would be
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supervision, with excellent communication and presentation skills. Technical and computational knowledge, including in machine learning, applied to climate science would be an asset. You should be prepared