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Field
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Enhancement of AI/ML with in-network computing & processing Adaptation & optimization of AI/ML software libraries for non-conventional hardware architectures Physics-informed ML surrogates for efficient
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neuromorphic hardware in particular Integrated Circuits along with a strong publication record. Position level is commensurate on experience, and we are actively encouraging applications to both levels
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on energy-efficient circuit design and software-hardware co-optimization, with exciting applications in graph-based prediction. What we’re looking for: A PhD in Electrical and Computer Engineering or a
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Deadline 12 Mar 2026 - 23:59 (Europe/Lisbon) Country Portugal Type of Contract Not Applicable Job Status Not Applicable Is the job funded through the EU Research Framework Programme? Horizon Europe (other
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projects or public-private-partnership initiatives with strict timelines and defined goals. Demonstrated ability to supervise postgraduate students. Experience in High Performance Computing hardware
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Division/Team: Department of Computer Science Hours Per Week: Full Time (1 FTE) Closing date (DD/MM/YYYY): 02/02/2026 Contract Duration: 24 Months School/Directorate: School of Engineering About the Role
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. Demonstrated ability to integrate hardware, software, and analytics into coherent experimental platforms. Additional information: Application date: Priority consideration will be given to candidates who apply by
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hardware on FPGAs along with a strong publication record. Position level is commensurate on experience, and we are actively encouraging applications to both levels. Applicants should also present a clear
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, or thermal systems. Demonstrated ability to integrate hardware, software, and analytics into coherent experimental platforms. Additional information: Application date: Priority consideration will be given
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credentials, compliance proofs). • Study deployment trade-offs (proof size/latency, prover/verifier constraints, batching/recursion, hardware acceleration, side channels). • Define security properties for real