Postdoc in Deep Learning: Join the Department of Electrical and Computer Engineering at Aarhus University as a Postdoctoral Researcher focused on deep learning analysis of remote sensing data for groundwater recharge mapping. This role offers the chance to contribute to innovative research within a collaborative international environment.
Postdoc in Deep Learning Based Remote Sensing Data Analysis
Designation
Postdoctoral Researcher
Research Area
Deep Learning for Remote Sensing Data Analysis
Location
Finlandsgade 22, 8200 Aarhus N, Denmark
Eligibility/Qualification
| Qualification | Description |
|---|---|
| PhD | In electrical engineering, computer engineering, geoinformatics, computer science, or a related field focusing on deep learning applied to remote sensing or geospatial data. |
| Experience | Documented experience with deep learning model development (CNNs, UNets, Transformers) and working with satellite data, particularly SAR and multi-spectral imagery. |
| Skills | Strong programming skills in Python and experience with deep learning frameworks (e.g., PyTorch). |
| Communication | Excellent written and spoken English skills. |
| Publication Record | Strong publication record relative to career stage. |
| Advantageous Experience | Deep learning analysis of satellite soil moisture missions, super-resolution techniques, explainable AI methods, experience in collaborative, cross-cultural research environments. |
Job Description
The successful candidate will:
- Develop deep learning models for spatiotemporal fusion of multi-sensor satellite data.
- Design and evaluate architectures for remote sensing super-resolution.
- Apply explainable AI methods to interpret model behavior and predictions.
- Publish high-impact research and contribute to outreach activities.
- Collaborate with colleagues in the Hydrogeophysics Group and international partners in Ethiopia.
How to Apply
Applications must include:
- Curriculum vitae
- Degree certificate
- Complete list of publications
- Statement of future research plans
- Teaching portfolio and information on previous teaching experience (if any)
Submit your application through Aarhus University’s recruitment system, accessible via the job advertisement on their website.
Last Date to Apply
February 9, 2026, at 23:59 CET
For further information, please contact:
- Assistant Professor Muhammad Rizwan Asif
Phone: +45 6090 9831
Email: rizwanasif@ece.au.dk
Explore the opportunity to be part of a vibrant and inclusive research environment at Aarhus University!
