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ideal for a researcher with a passion for solving complex problems at the intersection of wireless communications, edge computing, and machine learning, and who is eager to translate theoretical insights
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application programming interfaces (APIs), through rigorous simulations and proof-of-concept (PoC) trials. This position is ideal for a researcher with a passion for solving complex problems at the intersection
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devices, industrial protocols (e.g., Modbus, CAN, DNP3, OPC-UA, EtherNet/IP, PROFINET, BACnet), and industrial control networks Consequence-aware security analysis for complex OT systems-of-systems Key
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on Artificial Neural Networks and Gaussian Process modelling, to accelerate processing optimisation. Consolidate experimental, techno‑economic, and sustainability data into robust technical evidence packages
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Factory in outreach, exhibitions, and partnership forums, strengthening its visibility locally and internationally. Drive and activate a multi-stakeholder innovation network spanning students, researchers
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Collaboration: Identify opportunities, develop proposals, and formalize agreements to advance innovation projects. Activate Networks: Lead a multi-stakeholder innovation community spanning students, researchers
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, these platforms, the deep industry partnership network across the energy and maritime sectors and next-generation AI and robotics use cases, provide an exciting ecosystem of real assets, operators, and operational
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application programming interfaces (APIs), through rigorous simulations and proof-of-concept (PoC) trials. This position is ideal for a researcher with a passion for solving complex problems at the intersection
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control networks Consequence-aware security analysis for complex OT systems-of-systems Key responsibilities You will contribute to SIT's mission through a combination of teaching, curriculum development
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, recovery and separation of supernatant, and drying process. Support AI‑enabled data analysis, including collaboration on Artificial Neural Networks and Gaussian Process modelling, to accelerate processing