Post-doc position in Geomatics: SLAM and sensor integration for automatic pipeline inspection

21 Mar 2024
Job Information

Organisation/Company

KU Leuven

Research Field

Engineering

Researcher Profile

Recognised Researcher (R2)

Country

Belgium

Application Deadline

18 Apr 2024 - 00:00 (UTC)

Type of Contract

Temporary

Job Status

Full-time

Hours Per Week

38 hours/week

Is the job funded through the EU Research Framework Programme?

Not funded by an EU programme

Reference Number

BAP-2024-181

Is the Job related to staff position within a Research Infrastructure?

No

Offer Description

• You will participate in a project that aims to investigate the fusion of innovative low-cost sensors for underground mapping. 
• You will be responsible for developing calibration and processing algorithms and characterizing the accuracy and reliability of the produced results.
• Within the project team, you will contribute to the localization of the crawler, needed for automatic detection of piping defects. 
• You are expected to collaborate with the project team and the industrial partners.
• You will also have the chance to present the outcomes of your work regularly at international symposiums and conferences, publish research results in indexed journals, and attend training courses and similar events.

Requirements

Research Field

Computer science

Education Level

PhD or equivalent

Research Field

Engineering

Education Level

PhD or equivalent

Research Field

Mathematics

Education Level

PhD or equivalent

Languages

ENGLISH

Level

Excellent

Additional Information
Benefits

• A full-time position at KU Leuven for a fixed term of 12 months with flexible starting date.
• An internationally oriented research environment.
• Access to the latest 3D sensors and a powerful computing cluster
• A competitive salary will be determined in accordance with the legal salary grade systems existing at KU Leuven.
• The opportunity to possibly join the new spin-off company after its creation

Eligibility criteria

• Although not restricted to these, you preferably have a background and a Ph.D. in Geomatics, Robotics, Computer Science, Artificial Intelligence, Mathematics.

• You show particular interest in applied science-technology, and you have an affinity with quantitative approaches towards data science, including relevant developments in the field of geospatial data processing, photogrammetry, computer vision, and big data/machine learning.

• You have knowledge of fundamental principles, algorithms of computer vision, and machine learning methods. 
• You have previous hands-on experience with Simultaneous Localization and Mapping (SLAM) technologies, ROS, photogrammetry, and the integration of sensors.
• You are attracted by the prospect of collaborating with experts from different engineering fields and applying AI cutting-edge technology to solve real problems. 
• You should be able to show excellent results in prior studies and be fluent in both spoken and written English.
• You have demonstrated the ability to publish scientific articles in top journals and conferences.
• Most importantly, you should share our unbridled enthusiasm for scientific research and have a genius curiosity about discovering emerging technologies in geospatial data analysis.

Selection process

For more information please contact Prof. dr. ir. Maarten Vergauwen, [email protected] or Mr. Roberto de Lima Hernandez, [email protected] .
You can apply for this job no later than 18/04/2024 via the online application tool

Work Location(s)

Number of offers available

1

Company/Institute

KU Leuven

Country

Belgium

State/Province

Oost-Vlaanderen

City

Gent

Postal Code

9000

Street

Gent

Geofield

Where to apply

Website

https://easyapply.jobs/r/sjUVaKs21zPDvs6cbiA

Contact

State/Province

Gent

City

Oost-Vlaanderen

Street

Gent

Postal Code

9000

STATUS: EXPIRED