Autonomous robotic scanning platforms for electrostatic fields (ERC EpiC, Postdoc or experienced MSc))

Descrizione

Offer Description: Postdocs and MSc graduates with relevant hands-on experience are both welcome. Join the Lab fro Surface Phenomena and Integrated Systems (SPIS) and the ERC Consolidator project EpiC (Epicuticular electrification: spontaneous charging of materials at the world's largest bio-air interface) at the Institute of BioRobotics, Scuola Superiore Sant'Anna, Pisa under supervision of Prof. Dr. Fabian Meder. THE ROLE You will develop a new class of autonomous robotic scanning platforms that map dynamic electrostatic potentials on complex materials and living systems. You will build and integrate multimodal sensors (vibrating probes, voltmeters, precision amplifiers) for ultra-low-noise acquisition (picoampere/microvolt level) and advanced mechatronics for precision measurements in controlled and biological environments. Your instruments will open new fields: electrostatics in nature, triboelectricity, droplet electrification, energy harvesting, and electroecology. This is a strongly hands-on position, focused on applied electronics and mechatronics. WHO WE ARE LOOKING FOR - A scientist or engineer who enjoys building, testing and improving instrumentation - Experience in applied electronics, precision measurements, mechatronics or sensor integration - Curiosity about biology and the ability to work in an interdisciplinary team - Good English - Candiates must be within 6 years of their MSc degree, a PhD is ideal but candidates without one are fully evaluated based on relevant experience ELIGIBILITY Master's degree obtained in Physics (LM-17), Biomedical Engineering (LM-21), Automation Engineering (LM-25), Telecommunications Engineering (LM-27), Electrical Engineering (LM-28), Electronic Engineering (LM-29) or Mechanical Engineering (LM-33), or an equivalent foreign degree. Italian citizenship is not required. WE OFFER 24 months, EUR 58,000 total gross. You will work in an ERC-funded, interdisciplinary project at the frontier of its field. SELECTION Evaluation of qualifications (PhD, Master's degree and thesis, publications, experience) and a possible interview on 10 November 2026, in Pisa or online. Relevant experience and English are assessed. HOW TO APPLY Online by 29 October 2026, 12:00 CET, at the link below. Attach ID, signed and dated CV, Master's thesis (and PhD thesis if any) and up to 3 publications. Requirements: Research Field Physics » Applied physics Education Level PhD or equivalent Research Field Engineering » Electronic engineering Education Level PhD or equivalent Research Field Engineering » Mechanical engineering Education Level PhD or equivalent Skills/Qualifications - Hands-on experience building, testing and debugging experimental setups - Applied electronics: low-noise circuits, precision amplifiers, voltmeters, picoampere/microvolt measurements - Sensor integration and instrumentation (e.g. vibrating probes, electrostatic or surface potential measurements) - Mechatronics: motion control, robotic or automated scanning systems, mechanical design - Data acquisition and control software (e.g. Python, LabVIEW, MATLAB or C/C++) - Interest in biology and the ability to work in an interdisciplinary team - Independent, curious and rigorous, with a practical problem-solving mindset - Appreciated: experience with triboelectricity, electrostatics, scanning probe techniques or biological samples Specific Requirements - Master's degree obtained no more than 6 years before 8 October 2026 in Physics (LM-17), Biomedical (LM-21), Automation (LM-25), Telecommunications (LM-27), Electrical (LM-28), Electronic (LM-29) or Mechanical Engineering (LM-33), or an equivalent foreign degree. - A PhD is ideal, but candidates without one are fully evaluated based on relevant experience. Postdocs and experienced MSc graduates are both welcome. - Not eligible: permanent staff of universities or public research bodies, previous fixed-term researcher (RTD) contracts, and more than 3 years of previous research assignments (11 year

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Fonte: euraxess.ec.europa.eu