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(R2) Positions PhD Positions Application Deadline 8 May 2026 - 23:55 (Europe/Rome) Country Italy Type of Contract Temporary Job Status Full-time Hours Per Week 38 Offer Starting Date 1 Sep 2026 Is the
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-of-principle FFS measurements on various test samples Support the supervision of a PhD student ESSENTIAL REQUIREMENTS A PhD in physics, biophysics, engineering or a related discipline Documented experience in
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REQUIREMENTS A PhD in mechanical engineering, materials engineering, robotic engineering or similar disciplines Documented experience in FEM analysis and CFD analysis Strong publication record Good command
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and control of light–matter interactions at the nanoscale, combining nanophotonics, structured light, metasurfaces, and advanced optical techniques. The group studies and develops nanophotonic
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to perform correlative operando measurements Essential requirements PhD in Material Science, Chemistry or Physics or equivalent degree Hands-on experience in electrochemistry Hands-on experience in Raman and
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/Offerte_di_lavoro_A_Researcher_in_the_Field_of_Deep… Requirements Research FieldPhysicsEducation LevelPhD or equivalent Skills/Qualifications Job requirements The ideal candidate should have: PhD degree, preferably in the field of Climate Physics
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harvest “big data” allowing agnostic and dynamic collection of information, to deliver a new class of research that will enable a better understanding of the clinical, molecular, behavioural and
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://doi.org/10.1109/IROS40897.2019.8968000 , Macau, China, November 2019 ESSENTIAL REQUIREMENTS PhD degree in engineering, computer science or related field Experience with vision systems Experience in control
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Computer-Assisted Laser Microsurgery,” IEEE Transactions on Medical Robotics and Bionics, https://doi.org/10.1109/TMRB.2024.3468385 , 6(4), pp. 1423-1435, November 2024 ESSENTIAL REQUIREMENTS PhD degree in
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functional to tackle a number of applications and actual case studies related to several domains. The Artificial Intelligence for Good (AIGO) research unit is coordinated and led by prof. Vittorio Murino. AIGO