PhD Positions in Infrared Imaging Technology, KAUST, Saudi Arabia

Research specialist Position in Saudi Arabia, King Abdullah University

PhD Positions in Infrared Imaging Technology: The FuN Lab at KAUST invites applications for two PhD positions focused on advancing infrared imaging technology. The lab aims to innovate in device engineering and AI-driven solutions to support next-generation applications such as smart agriculture and industrial inspection.

King Abdullah University of Science and Technology (KAUST) PhD Positions in Infrared Imaging Technology

Designation

PhD Positions in Infrared Imaging Technology

Research Area

  • Fabrication of IR Image Sensors and Cameras
  • Developing ML/GenAI Algorithms for Multi-Spectral IR Imaging

Location

King Abdullah University of Science and Technology, Thuwal, Kingdom of Saudi Arabia

Eligibility/Qualification

PositionQualifications
Fabrication of IR Image Sensors and Cameras– Master’s/BS degree in Electrical Engineering or related fields
– Experience in microfabrication in clean room environments
– Knowledge of infrared imaging or optoelectronics is a plus
Developing ML/GenAI Algorithms for Multi-Spectral IR Imaging– Master’s/BS degree in Computer Science, Electrical Engineering, or related fields
– Experience with ML frameworks (e.g., TensorFlow, PyTorch) and programming (Python, MATLAB)
– Background in image processing or computer vision; knowledge of infrared imaging is a plus

Description

  1. Fabrication of IR Image Sensors and Cameras:
  • Development and optimization of fabrication processes for photodetectors and focal plane arrays using advanced materials, including colloidal quantum dots (CQDs) and III-V semiconductors. Responsibilities include characterizing sensor performance and integrating them into imaging systems for practical applications.
  1. Developing ML/GenAI Algorithms for Multi-Spectral IR Imaging:
  • Focus on creating advanced machine learning and generative AI algorithms designed for multi-spectral IR imaging. Responsibilities encompass designing algorithms for noise reduction and object detection, analyzing datasets for model training, and collaborative work with interdisciplinary teams.

How to Apply

Applicants should submit the following application package:

  • A cover letter
  • Full academic CV
  • Contact information for 2 referees

Applications can be submitted via the provided link [here].

Last Date for Application

February 28, 2025


Join KAUST in leading innovation in infrared imaging technology and contribute to advancing this critical research domain!

Link

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