You carry out research in satellite radar interferometry (InSAR). The research will focus on developing and demonstrating methodologies to identify InSAR deformation patterns with machine learning algorithms. InSAR techniques have been successfully applied to many natural/anthropogenic hazards (e.g. sinkholes and bridge failures), but always ‘after-the-fact’. It appears that many of the hazards exhibit precursory deformation patterns, which could serve as a tell-tale for impending hazards. Identifying and classifying those patterns in the data therefore is of importance to prevent the catastrophic events and the associated casualties and damage. In this research, you will design and implement algorithms to improve InSAR parameter estimation given auxiliary/contextual information. You will develop, validate and apply machine learning algorithms to systematically detect patterns in the data which are indicative of impending hazards. You will emphasize the efficiency of the algorithms for timeliness and large data volumes. You tune your work to find solutions for radar information acquisition problems emerging within ITC’s research and consulting projects. Part of your time (< 10 %) will be devoted to teach, assist and supervise MSc students.

• You possess a MSc in the field of geo-informatics or geo-sciences with deep experience of InSAR.
• You have demonstrated scientific creativity that has preferably resulted in a scientific publication.
• You have strong computing skills to implement novel SAR models in ENVI, R, Matlab or Python.
• Preferably, you have affinity with a multi-cultural education environment.
• You are willing to undertake international travel.

UT sets specific standards for the English competency of the teaching staff. UT offers training to improve English competency.

Information and application

For more information you can contact Dr. Ling Chang (e-mail: ling.chang@utwente.nl) or Prof. Dr. Ir. Alfred Stein (a.stein@utwente.nl). You are also invited to visit our homepage.

Please submit your application (detailed Curriculum Vitae and a letter elaborating the motivation for the application) through the form before 15 May 2018 (choose “apply now” below).

We offer you an inspiring multidisciplinary and challenging international and academic environment. The university offers a dynamic ecosystem with enthusiastic colleagues in which internationalization is an important part of the strategic agenda.

You will be fulltime employed for a period of 4 years. Salary and conditions will be in accordance with the Collective Labour Agreement (CAO-NU) of the Dutch Universities.

• A starting salary of € 2.222 in the first year and a salary of € 2.840 in the fourth year gross per month;
• A holiday allowance of 8% of the gross annual salary and a year-end bonus of 8.3%;
• A solid pension scheme;
• 41 holiday days in case of full-time employment;
• Professional and personal development programs;
• Cost for moving to Enschede may be reimbursed.

The University of Twente. We stand for life sciences and technology. High tech and human touch. Education and research that matter. New technology which leads change, innovation and progress in society. The University of Twente is the only campus university of the Netherlands; divided over five faculties we provide more than fifty educational programmes. We have a strong focus on personal development and talented researchers are given scope for carrying out groundbreaking research.

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status or disability status. Because of our diversity values we do particularly support women to apply.

The Faculty of Geo-Information Science and Earth Observation (ITC) of the University of Twente provides international postgraduate education, research and project services in the field of geo-information science and earth observation using remote sensing and GIS. The aim of ITC's activities is the international exchange of knowledge, focusing on capacity building and institutional development in developing countries and emerging economies.