integrate explainability techniques into deep learning workflows for classifying UAV imagery; establish a research line on how to integrate explainable AI (XAI) into deep learning workflows for Earth Observation and UAV data in particular; implement reliable and robust deep learning workflows; develop and share open codes for reproducible research; publish your results in scientific journals
A PhD in Photogrammetry, GIS, deep learning, computer science, or similar; An excellent track of record in one or more of these domains; Demonstrated programming skills in deep learning with open toolboxes; An ability to collaborate in a multidisciplinary environment
Vacancies Academic staff Support staff UT as employer UT as employer Employment conditions Career and development Onboarding HR Excellence in Research Tenure Track PhD EngD UT-students Stories from UT employees Job alert About UT Campus Research institutes Strategy and culture Twente and Enschede Nederlands English en Nederlands English Vacancies Researcher (fulltime) Explainable Artificial Intelligence for Unmanned Aerial Vehicles To vacancy overview Apply now ITC PostDoc Researcher (fulltime) Explainable Artificial Intelligence for Unmanned Aerial Vehicles Researcher (fulltime) Explainable Artificial Intelligence for Unmanned Aerial Vehicles Apply now Hi! Are you my new colleague? Chris Hecker Hi! Are you my new colleague? Nona Gaies Hi! Are you my new colleague? Juan Carlos Afonso Hi! Are you my new colleague? Marloes Penning de Vries Hi! Are you my new colleague? Freek van der Meer Hi! Are you my new colleague? Kemunto Kioko Hi! Are you my new colleague? Jaap Zevenbergen Hi! Are you my new colleague? Roshanak Darvish Hi! Are you my new colleague? Mariana Belgiu Hi! Are you my new colleague? Tomasz Stanczyk Key takeaways Hours 40 hr. Salary indication € 3,413 - € 4,670 Deadline 15 Oct 2022 In this era of big data and artificial intelligence (AI), spatial information collected through remote sensing or earth observation is essential for promoting sustainable development. Unmanned aerial vehicles (UAVs), also known as RPAS or drones, can collect very detailed imagery and photogrammetric point clouds. Machine learning and deep learning methods (e.g. CNNs, FCNs) can then automatically process this data into spatial information. Indeed this combination of spatial detail provide by UAVs with automated data processing shows great promise to support sustainable development in Lower-Middle Income Countries (LMICs), particularly in applications such as automated building detection, slum mapping, and disaster risk management. However, there is also an increasing societal concern regarding Ethical AI or AI for good. There are concerns on how to explain and interpret the “black-box” results so they can be trusted and better utilized for decision-making. UNESCO is drafting Recommendations on the Ethics of Artificial Intelligence and the European Commission is drafting a binding Regulation for Artificial Intelligence. These guidelines emphasize the importance of embedding explainability and interpretability into algorithms. And yet, despite research in the fields of FATML and XAI, there is little knowledge on best practices for explaining the results of algorithms in the geospatial domain. To address this gap there is a vacant full-time position for a researcher in explainable AI. The successful applicant will integrate explainability techniques into deep learning workflows for classifying UAV imagery. The precise tasks under this theme will be discussed with the applicant and can be flexible to the applicant’s expertise and interest. This position requires a background in deep learning, XAI, photogrammetry, geographical information science (GIS), earth observation and/or computer vision and must be confirmed by an excellent track record and proven programming skills. You will collaborate closely with humanitarian and development organizations. The research output will be integrated with the ITC UAV Centre. This Centre centralizes UAV activities at ITC and focusses on the development of educational material, capacity building projects, and consultancy services related to drones and UAVs. It is the intention that your research delivers open source code packages to be reutilized in these projects and can be integrated into the educational material produced by the Centre. You will: integrate explainability techniques into deep learning workflows for classifying UAV imagery. establish a research line on how to integrate explainable AI (XAI) into deep learning workflows for Earth Observation and UAV data in particular; implement reliable and robust deep learning workflows; develop and share open codes for reproducible research; publish your results in scientific journals; present results at appropriate meetings and conferences; be involved in educational activities and designing educational material (optional); contribute to national and international project development (optional). Your profile You have: A PhD in Photogrammetry, GIS, deep learning, computer science, or similar An excellent track of record in one or more of these domains Demonstrated programming skills in deep learning with open toolboxes An ability to collaborate in a multidisciplinary environment Excellent communication skills An excellent command of English An affinity with a multi-cultural education environment, excellent work ethics, and commitment to the job Experience in writing research project proposals an teaching experience in MSc courses or equivalent are a pre. Our offer We offer a fulltime position in an inspiring and challenging multidisciplinary and international environment for two years. Salary and conditions will be in accordance with the Collective Labor Agreement (CAO-NU) of the Dutch Universities. Gross monthly salary between € 3,413.00 and € 4,670.00 depending on experience and qualifications (job profile Researcher 4); A holiday allowance of 8% of the gross annual salary and a year-end bonus of 8.3%; Full status as an employee at the UT, including pension and health care benefits A total of 41 holiday days in case of full-time employment; Professional and personal development programs; Costs for moving to Enschede may be reimbursed. Information and application For more information about this position, you can contact Dr. Caroline Gevaert (firstname.lastname@example.org). You are also invited to visit our homepage. Please submit your application before 16 October 2022 (choose “apply now” below). Your application should include: A cover letter (maximum 2 pages), emphasizing your specific interest in the position and outlining your relevant skills and experience A full Curriculum Vitae Online job interviews will be scheduled for October 31st. The University of Twente wants to be an organisation that optimally deploys diversity, talents and capabilities in the labour market for now and the future. In the framework of our diversity and inclusiveness policy, we strongly stimulate people with a (work) disability to apply for this position. Apply now Share this vacancy About the organization The Faculty of Geo-Information Science and Earth Observation (ITC) provides international postgraduate education, research and project services in the field of geo-information science and earth observation. Our mission is capacity development, where we apply, share and facilitate the effective use of geo-information and earth observation knowledge and tools for tackling global wicked problems. Our purpose is to enable our many partners around the world to track and trace the impact - and the shifting causes and frontiers - of today’s global challenges. Our vision is of a world in which researchers, educators, and students collaborate across disciplinary and geographic divides with governmental and non-governmental organisations, institutes, businesses, and local populations to surmount today’s complex global challenges and to contribute to sustainable, fair, and digital societies. About the faculty ITC Curious about were the Faculty of Geo-Information Science and Earth Observation (ITC) stands for? Check out the ITC website for more information. Go to the ITC website A job that matters Create new opportunities for yourself, your colleagues and our society. Scientist or teacher, administrator or facilitator, thinker or doer, energetic leader or silent support - your work at the University of Twente matters. And you too! Stories from UT'ers How to apply Step 1 Apply. When you see a vacancy that appeals to you, you can apply online. We ask you to upload a CV and motivation letter and/or list of publications. You will receive a confirmation of receipt by e-mail. Apply now Step 2 Selection. The selection committee will review your application and you will receive a response within 2 weeks after the vacancy has been closed. Step 3 1st interview. The 1st (online or in person) meeting serves as an introduction where we introduce ourselves to you and you to us. You may be asked to give a short presentation. This will be further explained in the invitation. Step 4 2nd interview. In the second interview, we will further discuss the job content, your skills and your talents. Step 5 The offer. If the conversations are positive, you will be made a suitable offer. Want to know more? Gevaert, C.M. (Caroline) Assistant Professor Gevaert, C.M. (Caroline) Assistant Professor Do you have questions about this vacancy? Then you can contact Caroline for all substantive questions about this position and the application procedure. For general questions about working for the UT, please refer to the chatbot. 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