Postdoctoral Fellowship in Ultrafast Laser Processing / MicroManufacturing / Functional Surfaces
We are looking for postdoctoral fellows to join the Interdisciplinary Center for Intelligent Manufacturing and Robotics. The selected candidate will contribute to the development of ultrafast laser-based manufacturing capabilities at IRC-IMR, with a focus on precision surface engineering, micro/nano-structuring, and functional material processing.
The position supports the Center’s strategic direction in Devices and Micro-Manufacturing, where laser-based techniques are used to create engineered surfaces and microstructures with tailored properties for advanced applications. The work involves complex laser–material interactions, where process behavior is highly sensitive to laser parameters and material response, requiring systematic investigation and optimization.
The role combines experimental process development, multi-physics understanding, and performance validation, with emphasis on repeatability, scalability, and application relevance. Candidates are expected to contribute to the development of robust processing methodologies and validated solutions that can transition from laboratory-scale studies toward practical implementation, while advancing data-driven research beyond standard optimization.
JOB RESPONSIBILITY:
Develop and optimize ultrafast (femtosecond) laser processes for surface engineering and microfabrication
Investigate laser–material interaction mechanisms and their impact on surface morphology and functional performance to identify new process–structure–property relationships
Design and conduct systematic experiments to establish process–structure–property relationships
Perform predictive multi-physics modeling and simulation to support process understanding and optimization
Characterize processed materials using advanced techniques (SEM, EDS, XRD, AFM, etc.)
Establish process maps and parameter windows for stable, repeatable, and scalable operation
Operate and maintain femtosecond laser systems and associated optical setups
Integrate laser processes with sensing, monitoring, and data acquisition systems for data-driven optimization
Contribute to the development of application-driven solutions in micro-devices and functional surfaces
Publish high-novelty research outcomes in high-impact journals and conferences
Support research proposals, reporting, and funded projects
Mentor graduate students and contribute to research activities
QUALIFICATION:
PhD in Materials Science, Mechanical Engineering, Physics, Nanotechnology, or a closely related field
• Strong background in one or more of the following:
o Ultrafast laser materials processing (femtosecond lasers preferred)
o Surface engineering and micro/nano-fabrication
o Laser–material interaction and process physics
o Thermal/multi-physics modeling of manufacturing processes
• Demonstrated hands-on experience in:
o Laser processing and parameter optimization
o Experimental design and data analysis o Materials characterization (SEM, AFM, XRD, etc.)
• Proficiency in simulation tools (e.g., COMSOL, ANSYS, Abaqus) is desirable
• Programming skills (MATLAB, Python, or similar) are an advantage for data analysis, image analysis, or data-driven process optimization
• Strong publication record demonstrating research capability and independence
• Ability to work independently and within multidisciplinary teams
Preferred (not mandatory):
• Background in sensor fabrication or functional surface design
• Familiarity with micromachining software and laser system integration
• Exposure to data-driven process optimization or digital twin concepts
• Experience with in-situ diagnostics, real-time monitoring, or closed-loop control of laser processes.
• Experience with graphene or functional nanomaterials
HOW TO APPLY:
The position is now open, and applications will be reviewed on a rolling basis until the position is filled. To apply:
- Please complete the application form Link and
- Send your application package to: Director, IRC for Intelligent Manufacturing and Robotics, Email: irc-imr@kfupm.edu.sa
The application package must include:
- Cover letter
- Detailed academic CV, including at least three references
- One-page research statement demonstrating the candidate's fit with the advertised research areas and outlining future research plans
King Fahd University of Petroleum and Minerals (KFUPM) is located in the Eastern Province of Saudi Arabia and is ranked 63rd globally in the QS World University Rankings 2026. KFUPM Official Website
We thank all applicants for their interest. However, only shortlisted candidates will be contacted for an interview.