Optical Remote Sensing, Photogrammetry and Digital Image Processing are key components within our department. You are expected and stimulated to develop your own research group in the domain of Computer Vision and Optical Remote Sensing, for example on dynamic scene understanding, drone vision, machine learning for 2D and 3D vision 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 3D vision, remote sensing, machine learning, 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 expected start date is 1 September 2018, or as soon as possible.

A Tenure Track, a process leading up to a permanent appointment with the prospect of becoming an Associate or full Professor, offers young, talented academics a clear and attractive career path. During the Tenure Track, you will have the opportunity to develop into an internationally acknowledged and recognised academic. We offer a structured career and personal development programme designed to offer individual academics as much support as possible. For more information about the Tenure Track and the personal development programme, please visit www.tudelft.nl/tenuretrack.

The ideal candidate should have

• a PhD degree in a field related to computer vision, optical remote sensing or photogrammetry.
• an excellent track record in scientific publications, and depending on your career age, in the acquisition and management of externally funded research projects, a clear view on required future developments, aiming at a high degree of sustainability in the application field
• a strong affinity for programming, both in research and teaching.
• experience in teaching and supervision of PhDcandidates and MSc students.
• proven didactic skills, since the candidate will have to provide attractive teaching in mostly English to potentially large groups of students.
• affinity with the research within the TU Delft Dept. of Geoscience and Remote Sensing and the Faculty of Civil Engineering and Geoscience.

At the start of the tenure-track you will be appointed for the duration of six years. Together with your supervisors you will agree upon expected performance and (soft) skills. You will receive 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 of Associate 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 have less than five years of experience and do not yet have your teaching certificate, we allow you up to three years to obtain this.

Delft University of Technology

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.

https://www.tudelft.nl

Faculty Civil Engineering and Geosciences

The Faculty of Civil Engineering and Geosciences of Delft University of Technology (TU Delft) provides leading international research and education, with innovation and sustainability as central themes. Research and education are closely interwoven and address societal challenges. The Faculty consists of 28 sections divided over 7 departments: Materials Mechanics Management & Design, Engineering Structures, Geoscience and Engineering , Geoscience and Remote Sensing, Transport & Planning, Hydraulic Engineering and Watermanagement.

The Department of Geoscience and Remote Sensing (GRS) seeks to advance the understanding of dynamic processes on Earth and of human interaction with the 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 and remote sensing, natural geophysics, and climate and atmospheric sciences. It focuses on the interrelation between new observational techniques and applications in engineering and geosciences, including the development of ground-based, airborne, and space-borne methods and models. The department has an internationally leading role in research related to 2D and 3D surveying, satellite remote sensing, natural hazards, geodynamics and climate studies.

https://www.tudelft.nl/en/ceg/