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Ultrafast Computational Imaging

  • Master
  • Doctorate
  • Fall
  • With scholarship

About the Laboratory

The Laboratory of Applied Computational Imaging is dedicated to developing high-speed computational imaging systems and using these new optical systems to capture and study transient processes, including (1) imaging system design and simulation, (2) system construction, testing, and optimization, (3) image reconstruction and analysis, etc. This multi-disciplinary program enables students to gain the newest knowledge in ultrafast imaging, computational optics, optical physics, biomedicine, materials science, advanced manufacturing, etc., and accumulate practical skills and experience. These highly marketable skills lay a solid foundation for the student’s future career in academia and/or industry. The representative publications from the laboratory in the past several years include:

  • Optica 10, 1223-1230 (2023)
  • Optica 8, 139 (2021)
  • Laser Photonics Rev 14, 2000122 (2020) [Cover]
  • Nat Commun 13, 7879 (2022)
  • Nat Commun 12, 6401 (2021)
  • Nat Commun 11, 5252 (2020)

We plan to recruit 2-3 Ph.D. students and/or 1-2 postdoctoral fellows. The successful candidate will develop new schemes and design novel ultrafast computational imaging systems and apply these systems to diverse applications, including materials science, advanced manufacturing, optical physics, and biomedicine.

The enrollment for Ph.D. students will be in Fall 2024. The starting time for postdoctoral fellows is negotiable. Doctoral students are offered full scholarships (tuition fee + stipend). INRS provides the most competitive salary+benefit package for postdoctoral fellows (for details, please see: https://inrs.ca/en/studies/postdoctoral-fellowships/).

Start date

Fall 2024 for graduate students.The starting time for postdoctoral fellows is negotiable.

Supervision

Jinyang Liang is an associate professor at INRS and the Canada Research Chair in Ultrafast Computational Imaging (Tier II). He established and currently leads the Laboratory of Applied Computational Imaging. Prof. Liang has published >100 journal papers and conference proceedings, including Nature (cover story), Science Adv., Nature Commun., Light-Sci. & App., and Nature Photonics. He received his Ph.D. in Electrical Engineering from the University of Texas at Austin in 2012. From 2012 to 2017, he worked as a postdoctoral fellow at Washington University in St. Louis and the California Institute of Technology.

Programs of study

  • MSc in Energy and Materials Sciences
  • PhD in Energy and Materials Sciences

Required qualifications

Candidates should have (or are about to obtain) a Doctoral degree (for postdoc applicants) or Master’s (or Bachelor’s) degree (for the applicants of Ph.D. study) in engineering or physical sciences, such as Optical (or Optoelectronic) Engineering, Electrical Engineering, Physics, and Biomedical Engineering.

The recruitment will be focused on the following two directions. Preference will be given to students with research experience in one (or more) of the following areas:


(1) System development

  • Optical engineering: imaging system design, system construction, system miniaturization.
  • Optical imaging: computational optics, high-dimensional imaging, single-pixel imaging, photoacoustic microscopy, none-of-the-sight imaging, structured light microscopy.
  • Image processing: image reconstruction, imaging theory, system control, machine learning.
  • Ultrafast photonics: laser cavity design, ultrashort pulse amplification, nonlinear optics simulation.


(2) Novel applications

  • Biophotonics: tissue optics, biochemistry, molecular biology, neuroscience.
  • Materials Science: nanoparticles, Fluorescent/Phosphorescent labels.
  • Optical materials and phenomena: plasma emission theory, transient absorption, and other transient phenomena in optical physics.
  • Quantum optics: theory and construction of ghost imaging systems, correlators.

Scholarship

INRS offers many scholarship programs. Every student-researcher benefits from a grant during their graduate studies.

Location

Institut National de la Recherche Scientifique (INRS)
Centre Énergie Matériaux Télécommunications (EMT)
1650, blvd Lionel-Boulet
Varennes (Québec) J3X 1P7

Questions

Jinyang Liang
Courriel : jinyang.liang@inrs.ca
Téléphone : 1-514-228-6812

How to Apply

If you are interested in the position, you can apply to Jinyang Liang by using the online form. Selected candidates will be contacted by email to arrange an interview.

Please include :

  • A short cover letter (or email) indicating your interest
  • CV
  • A copy of your transcripts
  • English-language proficiency test scores (optional) (e.g., TOEFL and IESTL)

We are committed to promoting equity, diversity, and inclusion and invite all qualified candidates to apply, including women, members of visible and ethnic minorities, Indigenous persons, and persons with disabilities, in relation to Equal access to employment programs.

Selection tools can be adapted to the needs of persons with disabilities throughout the recruitment process. We will also take account of career interruptions and special circumstances when reviewing applications. Applicants are therefore invited to indicate the nature of these interruptions or special circumstances in their cover letter.

Published Jiang Liang PROJECT - Ultrafast Computational Imaging

Project title : Ultrafast Computational Imaging

Curriculum vitæ (CV) *

Maximum file size: 2MB

Academic transcript *

Maximum file size: 2MB

Letter of interests *

Maximum file size: 2MB

A short cover letter (or email) indicating your interest
English-language proficiency test scores (optional) (e.g., TOEFL and IESTL) *

Maximum file size: 2MB

How did you hear about this study project?