Publisher
source

Ali Asghar Alesheikh

2 weeks ago

Postdoctoral Positions in Satellite Imagery, GeoXAI, and Environmental Resilience K. N. Toosi University of Technology in Iran

Degree Level

Postdoc

Field of study

Computer Science

Funding

The positions are funded by the INSF or Connect Program for a duration of 12 months. Specific stipend amounts and tuition coverage are not mentioned.

Deadline

Apr 15, 2026

Country flag

Country

Iran

University

Kochi University of Technology

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Where to contact

Official Email

Keywords

Computer Science
Environmental Science
Deep Learning
Remote Sensing
Geography
Artificial Intelligence
Earth Science
Python Programming
Geographical Science
Machine learning

About this position

Exciting postdoctoral opportunities are available at K. N. Toosi University of Technology for top Iranian researchers interested in satellite imagery, GeoXAI, and environmental resilience. Two postdoc positions are open for projects focusing on satellite imagery processing for multi-hazard monitoring and the application of GeoXAI in analyzing environmental resilience. The research will involve advanced techniques in remote sensing, artificial intelligence, machine learning, and geospatial science, utilizing tools such as Python, GIS, TensorFlow, and PyTorch.

The positions are funded by the INSF or Connect Program and will last for 12 months, starting in July 2026. Applicants must have completed their PhD within the last two years from a top-ranked university in relevant fields such as Remote Sensing, AI/ML, or Geospatial Science. A strong publication record, especially in Q1 journals, is highly desirable. Candidates should possess expertise in satellite image processing, machine/deep learning, and GIS tools, along with excellent English proficiency.

To apply, candidates should send their CV, motivation letter, and research plan to Professor Ali Asghar Alesheikh at [email protected] by April 15, 2026. This is a unique chance to contribute to cutting-edge research in environmental monitoring and resilience, working alongside leading experts in the field. For more information, visit the supervisor's LinkedIn profile or the position announcement.

Funding details

The positions are funded by the INSF or Connect Program for a duration of 12 months. Specific stipend amounts and tuition coverage are not mentioned.

What's required

Applicants must have a PhD obtained within the last 2 years from a top-ranked university in Remote Sensing, Artificial Intelligence, Machine Learning, Geospatial Science, or related fields. Candidates should have a strong publication record, preferably in Q1 journals, and demonstrate expertise in Python, GIS tools, machine/deep learning frameworks such as TensorFlow or PyTorch, and satellite image processing. Excellent English proficiency is required.

How to apply

Send your CV, motivation letter, and research plan to [email protected] by April 15, 2026. Ensure your application highlights your expertise and publication record. Contact the supervisor for further details if needed.

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