PhD candidate on innovative metrology aspects for high power laser applications

PhD candidate on innovative metrology aspects for high power laser applications

Published Deadline Location
15 Jan 17 Feb Enschede

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Job description

We are looking for a PhD-student to strengthen our highly motivated and multidisciplinary research team, who will work on the monitoring and sensing of the fundamental physical phenomena occurring during laser-material interaction, in order to optimize laser-material processing for laser-based manufacturing, e.g. laser cladding.


High power laser beams are increasingly employed not only due to their commercial availability, but also for the ability to deposit high energy at localized area with controllable energy rate in order to achieve desired material properties. This photonics-based manufacturing technique leads to various laser-based manufacturing processes, including but not limited to, laser cladding, laser welding, laser implantation, laser ablation and laser etching. Metal additive manufacturing at large scale such as laser cladding is a well-established technique to reduce the cost of repairing or regenerating the damaged industrial components in energy, transport, waste, construction and manufacturing industries to name few. In comparison with conventional coating techniques such as plasma, thermal spray coating and arc welding techniques, laser cladding provides excellent metallurgical bonding, high precision and low distortion – offering substantial sustainability benefits in the terms of resource efficiency, product lifetime and value chain reconfiguration.

For examples of recent work done in this line of research, please check:
  • Bremer, S. J. L. et. al. (2023). Laser intensity profile as a means to steer microstructure of deposited tracks in Directed Energy Deposition. Materials and Design, 227, [111725].
  • Ur Rahman, N. et. al. (2019). Directed energy deposition and characterization of high-carbon high speed steels. Additive manufacturing, 30, [100838].


Laser-based Direct Energy Deposition (DED) is an Additive Manufacturing technique involving melting of feedstock on substrate resulting in high cooling rates, non-linear material properties at elevated temperature and differential shrinkage. Solidification initiates from the melt pool, and the associated parameters such as temperature, thermal gradient and geometry of the melt pool largely determines the quality of the cladded product. Measurement techniques to measure e.g., temperature, clad geometry, pressure, stress and flow rates are often trivial at low temperatures and/or during post-processing steps, however, in-situ, real-time insights into the melt-pool are either not possible, or cannot be performed easily at high temperatures. You will, as a PhD candidate, establish a more accurate, real-time (multi-) sensor-based monitoring approach in order to characterize melt pool spatio-temporally as well as spectro-thermally. To minimize individual sensor uncertainties and to maximize various sensor modalities, you will subsequently develop algorithms for sensor fusion, using Artificial Intelligence/Machine Learning concepts, that can be employed in data, fusion or decision level to optimize strategies and real-time feedback for consistent, high quality production of metallic parts using laser based additive manufacturing. Such a sensing solution could also be scaled for different length and time scales. State-of- the-art laser facilities are available at the Chair of Laser Processing. You will also closely collaborate with researchers in other groups at the University of Twente.

If you are someone with a strong background in experimental optics involving high power lasers, preferably in imaging and spectroscopy, driven by curiosity, creativity, and dedication, we invite you to apply for this opportunity.


University of Twente (UT)


  • You have a Master’s degree, preferably with distinction (or international equivalent) in Optical Engineering, Applied Physics, Photonics, Materials Science, or a closely related discipline;
  • Experience in (real-time) imaging and/or real-time spectroscopy is required.
  • Good knowledge/demonstrated awareness of sensor fusion and Artificial Intelligence/Machine Learning/Deep Learning concepts is preferred.
  • Knowledge of fundamental aspects of laser-material processing, as well as applied knowledge in laser based material processing techniques are an advantage.
  • Experience in using a range of technologies and techniques for surface characterization, e.g. SEM, EDX, AFM, etc., would be an advantage.
  • Ability to work in a laboratory environment and undertake experimental research.
  • Excellent analysis skills and an analytical mind- set, as well as excellent communication skills, including written.
  • English language proficiency. If you have not graduated in a country where English is the first language, then you will need to demonstrate your English proficiency by having passed IELTS or TOEFL. The minimum overall score for IELTS is at least 6.5 with no component being below 5.5.
  • We encourage a high degree of responsibility and independence, while collaborating with close colleagues, researchers and other staff.

Female candidates are strongly encouraged to apply for this position.

Conditions of employment

  • We offer a four-year fulltime PhD position.
  • We provide a stimulating, modern research environment with world-class research facilities. And we provide excellent mentorship and a stimulating research environment to accelerate your further professional and personal growth.
  • A starting salary of € [GR1] 2.770,- gross per month in the first year and increasing to € [GR2] 3.539,- gross per month in the fourth year.
  • An annual holiday allowance of 8% of the gross annual salary, and an annual year-end bonus 8,3 %.
  • A solid pension scheme.
  • Minimum of 40 leave days in case of full-time employment.
  • The University of Twente is situated on a green and lively campus with lots of facilities for sports and other activities.
  • You will have a training programme as part of the Twente Graduate School where you and your supervisors will determine a plan for a suitable education and supervision;



At the Chair of Laser Processing we study the fundamental physical phenomena occurring during laser-material interaction, in order to optimize laser-material processing for laser-based manufacturing. Based on the knowledge gained, we develop means and methods for monitoring/sensing and control of laser-material processing. Our research results (projects and publications) provide key enabling technologies for numerous new applications and innovative laser-based manufacturing. We are a group consisting of curiosity driven senior and junior scientists, which are well embedded within the department of Mechanics of Solids, Surfaces & Systems (MS3). Additional information can be obtained from the website Laser Processing Department


  • PhD
  • Engineering
  • 38—40 hours per week
  • €2770—€3539 per month
  • University graduate
  • 1614


University of Twente (UT)

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Drienerlolaan 5, 7522NB, Enschede

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