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Geography● OpenResearch staff⏰ 9 days leftPreview

Research Assistant in Earth Observation and AI for Landslide Detection

Part-time research role to advance landslide detection using AI and Earth Observation techniques at the University of Bucharest.

Best for:Best for early-career researchers with a PhD in geography, remote sensing, or related fields, seeking to apply AI and Earth Observation techniques to geospatial challenges.

Universitatea din Bucuresti · Bucharest, Romania · R1 · First-stage researcher
More professors at Universitatea din Bucuresti
Earth Observation TechniquesArtificial Intelligence in Geospatial AnalysisLandslide DetectionRemote SensingGeographic Information Systems (GIS)
This is a research staff position — not a PhD studentship.
Deadline
Oct 23, 2026
9 days
Funding
—
Fixed-term until August 31, 2027
Start date
November 10, 2026
Part-time
Location
Bucharest
Romania

Overview

This part-time research assistant position at the University of Bucharest focuses on leveraging Earth Observation techniques and artificial intelligence to detect and inventory landslides. The role is tied to a specific project and involves contributing to cutting-edge research in geographic data analysis and AI applications. The successful candidate will work under the supervision of the Faculty of Geography, applying their expertise in geography, remote sensing, or related fields to process and analyze spatial data. The position is ideal for early-career researchers with a PhD in geography or a related discipline and hands-on experience in AI or Earth Observation methods. The contract is fixed-term until August 31, 2027, with a workload of 40 hours per month.

Earth ObservationAI for Geospatial AnalysisLandslide InventoryRemote SensingGIS ApplicationsGeographic Data AnalysisPart-Time Research AssistantBucharest University

What you'll do

  • Develop and apply AI models to detect and inventory landslides using Earth Observation data.
  • Process and analyze geospatial datasets to extract meaningful insights related to landslide risks.
  • Collaborate with project team members to integrate findings into broader research initiatives.
  • Contribute to the documentation and reporting of research outcomes and methodologies.
  • Support the implementation of project deliverables within the specified timeline.

Requirements

Degree required: PhD in Geography or a related field (e.g., Remote Sensing, Environmental Science, GIS, or Computer Science with a focus on geospatial analysis)

Language: English; Good proficiency (equivalent to B2/C1 level)

Instruction: English

Required skills
  • Proven experience in Earth Observation techniques and remote sensing methodologies
  • Proficiency in applying AI and machine learning algorithms to geospatial data
  • Strong analytical and computational skills for processing large datasets
  • Familiarity with Geographic Information Systems (GIS) software and tools
  • 1 to 4 years of relevant research experience in geography or related fields
Nice to have
Experience with Python or R for data analysis and modelingKnowledge of specific AI frameworks (e.g., TensorFlow, PyTorch) for geospatial applicationsBackground in machine learning or statistical modeling
Eligibility
  • Open to candidates with 1 to 4 years of research experience in geography or related fields
  • No specific nationality restrictions mentioned

Funding & terms

Type
Unknown
Amount
—
Duration
Fixed-term until August 31, 2027
Programme
Use of Earth Observation Techniques and Artificial Intelligence for the Detection and Inventory of Landslides (Contract no. 40PCBROMD/2025)
University of Bucharest

How to apply

Deadline: 2026-10-23 (Europe/Bucharest)

Applicants should send their application via email to ionut.sandric@geo.unibuc.ro. The email subject must clearly state the position title: 'Scientific Research Assistant - Geography - 40h/ month'. Ensure your application includes all required documents.

Documents required
  • Curriculum Vitae (CV)
  • Cover letter explaining your interest and qualifications for the position
✉Apply by email

Contact

Ionut Sandric· Contact for Applications

ionut.sandric@geo.unibuc.ro

021.305.97.30

http://www.unibuc.ro/n/despre/

Lab
Faculty of Geography, University of Bucharest
Universitatea din Bucuresti
Use of Earth Observation Techniques and Artificial Intelligence for the Detection and Inventory of Landslides (Contract no. 40PCBROMD/2025)Romania
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