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PhD Student in Geoinformatics at KTH Royal Institute of Technology

Applicants are invited to apply for a PhD position in pattern recognition at KTH Royal Institute of Technology. Citizens of any country are eligible to apply. This fellowship is last for four years and posible to extend. Applications are welcome before October 04, 2018.

KTH Royal Institute of Technology in Stockholm has grown to become one of Europe's leading technical and engineering universities, as well as a key centre of intellectual talent and innovation. We are Sweden's largest technical research and learning institution and home to students, researchers and faculty from around the world. Our research and education covers a wide area including natural sciences and all branches of engineering, as well as architecture, industrial management, urban planning, history and philosophy.

The department of Urban Planning and Environment consists of three divisions and is focused specifically on urban and regional studies, geoinformatics and geodesy. The ambition is to analyze the prerequisites, conditions and strategies for sustainable social development, both in national and international context.

The Geoinformatics division at the Department for Urban Planning and Environment is responsible for both research and education within the broad field of geographical information technology (GeoIT). Geoinformatics or GeoIT is the science and technology for collection, management, visualization, analysis and presentation of geospatial data. The research at the Geoinformatics Division at KTH is focused on methodology development and the applications of GeoIT for sustainable urban/regional planning, environmental monitoring, crime analysis, and health studies.

The candidate for the doctoral student position is expected to participate in a research project entitled “Sentinel-1 SAR and Sentinel-2 MSI Data for Urban Mapping and Urbanization Monitoring' under the supervision of the project manager.

The overall objective of this research is to develop innovative and robust methods and algorithms that use multitemporal Earth observation (EO) data in general, Sentinel-1 SAR and Sentinel-2 MSI data in particular, for urbanization monitoring in support of sustainable urban development.

The tasks and responsibilities include algorithm development, image processing, classification and change detection, writing reports, scientific articles and licentiate thesis.
- The possibility to study in a dynamic international research environment in close cooperation with industries and advanced universities the world over.
- A personal study plan to support your development within your areas of interest.
- Work and study in Stockholm, one of Europs fastest growing capitols, which is close to both nature and the sea.
- Help to relocate and get settled in Sweden and at KTH.

To be admitted to postgraduate education (Chapter 7, 39 hgskolefrordningen), the applicant must have basic eligibility in accordance with either of the following:
- completed course requirements of at least 240 higher education credits, of which at least 60 higher education credits at advanced level, or
- in any other way acquired within or outside the country acquired essentially equivalent knowledge.

The position requires a Master’s Degree in Geomatics, Electrical Engineering, Computer Science, or other natural sciences and engineering disciplines. The applicant must have good knowledge in image processing, pattern recognition, machine learning and demonstrated programming skills to implement relevant Java and / or C ++ methods and techniques. Ability to design, implement and test algorithms for processing and classifying satellite images is of great importance to the employment.

Previous professional experience in developing software for developing image processing programs is a special merit.

In order to succeed as an doctoral student at KTH you need to be goal oriented and persevering in your work. In the selection of the applicants, the following will be assessed:
- ability to independently pursue his or hers work,
- ability to collaborate with others,

Only those who are or have been admitted to third-cycle studies may be employed as a doctoral student. The term of the initial contract may not exceed one year. The employment may be extended for a maximum of two years at a time. However, the total period of employment may not exceed the equivalent of four years of full-time study. Decisions on employment as a doctoral student may not be appealed.

Eligibility, selection and admissions are regulated in antagningsordning till utbildning vid Kungl. Tekniska hgskolan and the program description for the doctoral program and current subject syllabus available on KTH’s website.

Doctoral students should primarily devote themselves to their own education, but may engage in teaching, research, and administration corresponding to a maximum of 20 % of a full-time position.

Apply for the position and admission through KTH:s recruitment system. It is the applicant's responsibility to ensure that the application is complete in accordance with the instructions in the advertisement.

Applications must be received at the last closing date at midnight, CET / CEST (Central European Time / Central European Summer Time).

Applications must include the following elements:
- Statement of purpose: Why do you want to pursue a PhD, what are your academic interests, how they relate to your previous studies and future goals; maximum 2 pages long.
- Copy of the degree certificate(s) and transcripts of records from your previously attended university-level institutions. Translations into English or Swedish if the original documents are not issued in one of these languages.
- Representative publications or technical reports: Documents no longer than 10 pages each. For longer documents (e.g. theses), please provide a summary (abstract) and a web link to the full text.


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