
Mihai-George Mureșan serves as Team Leader for Laser-Induced Damage Threshold (LIDT) Determination and Coordinator for Laser Applications on Semiconductor Materials at the HiLASE Centre, part of the Institute of Physics of the Czech Academy of Sciences. In this role, he oversees the design and execution of experiments, selects and optimizes laser processes, and drives the development of novel laser-based methods for semiconductors.
He earned his doctorate in Plasma Physics from the Faculty of Science, Masaryk University, in 2015, with a dissertation on Plasma-Enhanced CVD of Multicomponent Functional Coatings. Prior to that, he completed an M.Sc. in Applied Technical Sciences with a focus on Condensed Matter Physics at Ovidius University of Constanța in 2009. During his studies, he expanded his expertise through research stays at Institut Fresnel (France), the Science and Technology Facilities Council (UK), and the Center for Physical Sciences and Technology (Lithuania).
Since joining the HiLASE Centre in 2010 as a laboratory assistant and doctoral researcher, Mihai has progressed through roles as Vacuum Engineer (2013–2015) and Research Scientist specializing in laser damage thresholds (2015–2025), before assuming his current leadership position in 2025. His work bridges fundamental research and practical applications, maintaining shared-beam infrastructure and coordinating cross-disciplinary teams.
Mihai’s technical expertise spans applied research on laser–matter interactions in optical and semiconductor materials, LIDT testing in bulk optics, thin films, and fibers, as well as analytical techniques such as confocal microscopy and Raman spectroscopy. He is responsible for translating research into robust processes that meet industry-grade reliability requirements.
Recognized for his ability to link cutting-edge laser research with industrial needs, Mihai actively fosters collaboration between academia and industry. As a mentor and coordinator, he supports emerging researchers in mastering both the scientific and process-engineering aspects of laser technology for semiconductor processing.
The Laser-Induced Damage Threshold (LIDT) Unit, part of the Industrial Laser Applications Department at the HiLASE Centre, designs, builds, and operates specialized LIDT testing stations to quantify the maximum laser fluence that optical components can withstand without sustaining damage. Following the ISO 21254-2:2011 “s-on-1” methodology, the team uses high-energy, high-repetition-rate laser systems such as PERLA to expose bulk optics, thin films, and fibers to controlled femtosecond and picosecond pulses—precisely determining damage thresholds essential for reliable, high-power laser system design and quality assurance.
Beyond supporting internal research, the group also provides contract testing services for industrial partners and organizes the annual LIDT Challenge, which invites participants to submit anti-reflective-coated windows for blind evaluation (using 900 fs, 1 kHz Gaussian-beam irradiation in the 2025 Challenge). This initiative promotes transparent benchmarking of optical component durability and helps users qualify their optics under real-world operating conditions.
As a shared infrastructure—together with the Laser Shock Peening Station—the LIDT Unit underpins HiLASE’s roadmap for optical component sustainability, bridging cutting-edge laser research with industrial application through expert measurement services and collaborative development projects.
The HiLASE Centre offers an internship for candidates passionate about applying AI/ML and image processing techniques to laser-induced damage threshold (LIDT) testing.
As a LIDT Damage Recognition Programming Intern, you will develop software pipelines for in-situ, real-time damage detection during high-power laser tests, as well as ex-situ analysis of confocal microscope images. Your work will include designing data acquisition interfaces to capture live test signals, implementing pattern-matching algorithms to align test masks with microscopy images, and training machine learning models to classify and segment damage sites.
You will collaborate closely with physicists and engineers to validate your solutions against ground-truth measurements, optimize code for GPU-accelerated environments, and integrate your tools into HiLASE’s shared infrastructure.
Key Duties:
From June 15 to August 31, 2026 (adjustable at the discretion of the organisation)