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Faculty Positions in School of Al for Science / School of Electronic and Computer Engineering, PKUSZ
for Materials Science, AI for Life Science, and Computational Mathematics. We welcome candidates whose research aligns with these directions and who are eager to contribute to an open, cutting-edge, and cross
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applications for faculty positions in Computer Science. Faculty specialising in data science, machine learning (deep learning, reinforcement learning, multimodal learning), Generative AI, and computer graphics
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language, using a parallel computing environment, bioinformatics, network biology, network medicine, network analytics, medical informatics. Start date: ASAP Apply:https://apply.interfolio.com/180309 and
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manufacturing capabilities, and high-performance computing resources. The ideal candidate will have a track record of high-impact first or lead-author publications, demonstrable potential for independent research
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19 Mar 2026 Job Information Organisation/Company ILLINOIS INSTITUTE OF TECHNOLOGY Research Field Computer science Mathematics Researcher Profile Recognised Researcher (R2) First Stage Researcher (R1
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, tutorials and computer lab sessions. Act as a personal tutor, providing academic and pastoral support to students. Supervise undergraduate and master’s dissertations in Financial Technology. Mark exams and
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About the job: The School of Electronics, Electrical Engineering & Computer Science (EEECS) at Queen's University, is seeking to appoint a Lecturer in Artificial Intelligence.This post will be based
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, engaging students and supporting their academic development. What will you be doing? In this role, you will: Teach undergraduate students through lectures, seminars, tutorials and computer lab sessions. Act
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computer lab sessions. Act as a personal tutor, providing academic and pastoral support. Supervise undergraduate dissertations in Data Science / Statistics. Mark exams and coursework and contribute
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cutting-edge research in areas such as pattern recognition, automation science, complex systems, AI for Science, robotics, machine learning, computer vision, natural language processing, biometrics, medical