Research Engineer Remote Sensing and AI for Wildfire Monitoring - Hiring in process/Finished, not possible to apply

The Division of Geoinformatics at the Department of Urban Planning and Environment is responsible for both research and education within the broad field of Geographical Information Technology (GeoIT).  The research at Geoinformatics is focused on methodology development and the applications of GeoIT for sustainable urban/regional planning, mobility and transport analysis, environmental monitoring, disaster monitoring and damage assessment, as well as health studies. The subject is interdisciplinary and multidisciplinary. It covers the collection, management, visualization, analysis and presentation of geospatial data and also how this is linked to transport and communication systems at different geographical scales.

Job description

The research engineer is expected to participate in a research project entitled "Earth Observation Big Data and Deep Learning for Wildfire Monitoring". The overall purpose of this research is to develop innovative and robust methods and algorithms using Earth observation (EO) big data and deep learning for continuous change detection with a focus on monitoring forest fires.

The tasks and responsibilities include algorithm development, satellite image analysis, classification and change detection, as well as writing scientific articles.

What we offer

• A position at a leading technical university that generates knowledge and skills for a sustainable future.
• Engaged and ambitious colleagues along with a creative, international and dynamic working environment
• Work in Stockholm, in close proximity to nature
• Help to relocate and get settled in Sweden and at KTH.

Read more about what it is like to work at KTH

Qualifications

Requirements

• Master's degree in computer science, electrical engineering, geomatics or other scientific and technical disciplines. In exceptional cases, candidates who are close to completing their Master's thesis may also be considered for the position.
• Good knowledge in image analysis, pattern recognition, machine learning / deep learning and demonstrated programming skills
• Previous professional experience in developing software for developing image processing software is a special advantage.
• Good communication skills, collaborative abilities and independence are required. 

Preferred qualifications

• We prefer that you have professional skills, subject-related skills and awareness of diversity and equal opportunity issues, with specific focus on gender

Great emphasis will be placed on personal competency.

Trade union representatives

You will find contact information to trade union representatives at KTH's webbpage.

Application

Log into KTH's recruitment system in order to apply to this position. You are the main responsible to ensure that your application is complete according to the ad.

Your complete application must be received by KTH no later than the last day of application, midnight CET/CEST (Central European Time/Central European Summer Time).

About the employment

The employment is valid for a limited time according to the agreement - for up to 6 months, with access according to agreement.

Other information

Striving towards gender equality, diversity and equal conditions is both a question of quality for KTH and a given part of our values

For information about processing of personal data in the recruitment process please read here.

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Disclaimer: In case of discrepancy between the Swedish original and the English translation of the job announcement, the Swedish version takes precedence.