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The handling and analysis of geospatial data are key activities within our department. Both imaging data (optical and radar) as well as point positioning data play an important role, and data volumes and refresh rates are increasing rapidly. The challenges that these impose are not only related to purely geometric variables, but also to contextual information. This requires a broad scope in methodologies for data analytics, ranging from conventional parameter inference to machine learning and artificial intelligence.
You are expected and stimulated to develop your own research group on a theme addressing these challenges, for example on dynamic scene understanding, computer vision, machine learning for 2D and 3D geospatial applications, vision for infrastructure inspection, object tracking or automated driving.
Within the Department and Faculty there are many opportunities to directly connect your expertise to ongoing research that could profit from state of the art methods on metric information extraction from different kind of imagery, obtained from anything between lab cameras and satellites. To fulfil your own research vision, it will be expected that you, in cooperation with others, will acquire projects from notably Dutch and European funding agencies.
Within our BSc and MSc teaching curriculum you will develop and teach modules related to topics like geospatial machine learning, 3D vision, remote sensing, image analysis and spatial parameter estimation, both in classical settings and in project education. Overall, the goal is to make our students enthusiastic and give them a strong theoretical and practical background on these topics.
The ideal candidate should have
Fixed-term contract: Tenure Track.
At the start of the tenure-track you will be appointed as Assistant Professor for the duration of six years. Together with your supervisors you will agree upon expected performance and (soft) skills. You will receive a start-up package and formal feedback on performance and skills during annual assessment meetings and the mid-term evaluation. If the performance and skills are evaluated positively at the end of the tenure track, you will be appointed in a permanent Assistant Professor position.
TU Delft offers a customisable compensation package, a discount for health insurance and sport memberships, and a monthly work costs contribution. Flexible work schedules can be arranged. An International Children’s Centre offers childcare and an international primary school. Dual Career Services offers support to accompanying partners. Salary and benefits are in accordance with the Collective Labour Agreement for Dutch Universities.
TU Delft sets specific standards for the English competency of the teaching staff. TU Delft offers training to improve English competency.
Inspiring, excellent education is our central aim. If you do not yet have your teaching certificate, we allow you up to three years to obtain this.
Delft University of Technology (TU Delft) is a multifaceted institution offering education and carrying out research in the technical sciences at an internationally recognised level. Education, research and design are strongly oriented towards applicability. TU Delft develops technologies for future generations, focusing on sustainability, safety and economic vitality. At TU Delft you will work in an environment where technical sciences and society converge. TU Delft comprises eight faculties, unique laboratories, research institutes and schools.
The position is located within the department of Geoscience and Remote Sensing (GRS). We seek to advance the understanding of dynamic processes on—and human interaction with—Earth, with a focus on geodesy and atmospheric sciences. The approach is based on the development of observation technology as well as the modelling of processes. Our ambition is to create an interdisciplinary research environment in which scientific staff and students explore, learn, and teach. GRS (with about 110 staff members of which 25 faculty staff) conducts a research programme in the disciplines of geodesy, remote sensing, data science, earth-oriented space research, and climate and atmospheric sciences. It focuses on the interrelation between new observational techniques and applications in engineering and geosciences, including the development of space-borne, airborne, and ground-based methods and models. The department has an internationally leading role in research related to 2D and 3D surveying, geodesy, satellite remote sensing, natural hazards, geodynamics and climate studies. Please check www.tudelft.nl/ceg/grs.
GRS is one of the 7 departments within the Faculty of Civil Engineering and Geosciences (CEG) The Faculty is committed to outstanding international research and education in the field of civil engineering, applied earth sciences, traffic and transport, water technology and delta technology. The research covers global social issues and is closely connected to education as well as the work of a wide range of knowledge institutions. CEG is convinced that Open Science helps to realise these goals and supports its scientists in integrating Open Science in their research practice. Please check www.tudelft.nl/ceg for more information.