PhD Thesis “Applying Satellite-Based Remote Sensing to Transportation Infrastructure Monitoring” @Landesberufsschule Amstetten
Research
Salary eur 37,478 for ..
Remote Location
Employment Type full-time
Posted YDay

[Hiring] PhD Thesis “Applying Satellite-Based Remote Sensing to Transportation Infrastructure Monitoring” @Landesberufsschule Amstetten

YDay - Landesberufsschule Amstetten is hiring a remote PhD Thesis “Applying Satellite-Based Remote Sensing to Transportation Infrastructure Monitoring”. 💸 Salary: eur 37,478 for 30 hours per week 📍Location: Austria

Role Description

The AIT Austrian Institute of Technology invites applications for a PhD thesis at our location in Vienna. The project focuses on the development of novel applications for the use of earth observation data in transportation infrastructure monitoring.

  • Conduct independent scientific research in satellite-based transportation infrastructure monitoring.
  • Develop innovative approaches for detecting deformations, damage, settlements, or condition changes in road, railway, or bridge infrastructure.
  • Identify suitable satellite missions and remote sensing datasets (e.g., SAR, InSAR, optical, or multispectral data).
  • Develop a methodological approach for the use of remote sensing data in infrastructure monitoring.
  • Implement the developed methodology within a pilot study and perform validation analyses.
  • Evaluate and validate different analytical methods regarding their accuracy, robustness, and practical applicability.
  • Present research findings at scientific conferences and publish results in peer-reviewed journals.
  • Gain experience in a highly interdisciplinary research field.
  • Expand scientific and professional network for a future career in research, industry, or public infrastructure management.

Qualifications

  • A completed or soon-to-be-completed Master's degree (MSc) in Civil Engineering, Remote Sensing, Geodesy and Geoinformatics, Aerospace Engineering, Data Science, or a related field.
  • Solid programming skills in Python, MATLAB, C++, or other programming languages.
  • Experience working with remote sensing data (e.g., InSAR, optical satellite) and processing large datasets is an advantage.
  • An interest in reading and writing scientific publications, combined with enthusiasm for application-oriented industrial research.
  • A high level of commitment and a collaborative mindset.
  • Excellent German and English language skills, along with strong presentation abilities.

Requirements

  • Duration: Approximately 3 years.
  • Start date: Ideally from 10.2026, with flexibility regarding the exact starting date.
  • Workplace: Research project at the AIT in Vienna.
  • Coursework: Attendance of university courses and completion of corresponding examinations may be required.
  • Supervision: Joint supervision by a professor or lecturer from the selected university and experienced researchers from the Center for Transport Technologies.

Benefits

  • A gross annual salary of EUR 37.478 for 30 hours per week.
  • Numerous events, seminars, networking opportunities, and flexible working models (including Home-Office possibilities).
  • Part of the AIT-PhD-Community with approximately 150 international PhD students.
  • An inclusive and family-friendly working environment that promotes equal opportunities and strengthens diversity.
  • Commitment to increasing the proportion of women in the company, welcoming applications from female applicants.
Before You Apply
remote Be aware of the location restriction for this remote position: Austria
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PhD Thesis “Applying Satellite-Based Remote Sensing to Transportation Infrastructure Monitoring” @Landesberufsschule Amstetten
Research
Salary eur 37,478 for ..
Remote Location
Employment Type full-time
Posted YDay
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remote Be aware of the location restriction for this remote position: Austria
Beware of scams! When applying for jobs, you should NEVER have to pay anything. Learn more.
Apply for this position
Did not apply
Applied
Sent Follow-Up
Interview Scheduled
Interview Completed
Offer Accepted
Offer Declined
Application Denied
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