Generation of Microstructured Surfaces with Controlled Optical Properties Using Generative Adversarial Networks
Join a pioneering PhD project focused on innovative optical surface engineering.
Best for:Best for engineering graduates with a passion for optical technologies and machine learning.
Overview
This PhD position at the University of Poitiers involves the development of microstructured surfaces with tailored optical properties through the application of generative adversarial networks. The successful candidate will engage in cutting-edge research within the engineering field, contributing to advancements in optical technologies. Applicants are expected to demonstrate a strong background in relevant engineering disciplines and a keen interest in innovative research methodologies.
What you'll do
- Conduct research on the generation of microstructured surfaces.
- Utilize generative adversarial networks for optical property control.
- Collaborate with interdisciplinary teams to enhance research outcomes.
- Publish findings in reputable scientific journals.
- Present research results at conferences and seminars.
Requirements
Degree required: MSc in Engineering or a related field
Degree offered: PhD
Language: French; English: proficiency required
Instruction: French and English
- Strong background in engineering principles
- Experience with machine learning techniques
- Familiarity with optical properties and surface engineering
- Ability to conduct independent research
- Open to all nationalities
- Must hold a relevant master's degree
Funding & terms
How to apply
Deadline: 2026-11-01
Interested candidates should prepare their application materials and submit them as per the instructions provided by the university. Ensure all required documents are included.
- CV
- Cover letter
- Research proposal
- Master's degree transcripts
- 2 reference letters
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