Doctoral student in Visualization and Large Data AnalysisKTH , School of Electrical Engineering and Computer ScienceKTH 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. Project descriptionThird-cycle subject: computer science This project will develop algorithms, methods, and tools to analyze turbulence data while it is being simulated on the supercomputer (in-situ and in-transit data analysis). We focus on topology-based algorithms due to their powerful capabilities for extracting features. Our main challenge is to re-formulate these algorithms for the memory-distributed supercomputer environment. Once the simulation finished, the results will be available for a visual data analysis in a specialized visualization tool. Our results will allow new scientific questions to be addressed in turbulence research, a domain with strong implications for all areas where turbulence occurs such as transport of people and goods, or renewable energy generation with wind and water. The student will also help with teaching courses in Visualization and Computer Graphics by being the main teaching assistant to Prof. Weinkauf. This will take around 20% of the work time, and the remaining 80% are devoted to research. Supervision: Prof. Dr. Tino Weinkauf (main supervisor) and Prof. Dr. Philipp Schlatter (co-supervisor) What we offer
EligibilityTo be admitted to postgraduate education (Chapter 7, 39 § Swedish Higher Education Ordinance), the applicant must have basic eligibility in accordance with either of the following:
SelectionIn order to succeed as a doctoral student at KTH you need to be goal oriented and persevering in your work. During the selection process, candidates will be assessed upon their ability to:
In addition to the traditional academic merits, published papers, experience with visualization libraries, C++, and graphics APIs are regarded as advantageous qualifications. After the qualification requirements, great emphasis will be placed on personal qualities and personal suitability. Target degree: Doctoral degree Information regarding admission and employmentOnly those admitted to postgraduate education may be employed as a doctoral student. The total length of employment may not be longer than what corresponds to full-time doctoral education in four years ' time. An employed doctoral student can, to a limited extent (maximum 20%), perform certain tasks within their role, e.g. training and administration. A new position as a doctoral student is for a maximum of one year, and then the employment may be renewed for a maximum of two years at a time. ApplicationApply 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/entral European Summer Time). Applications must include the following elements:
Other informationStriving towards gender equality, diversity and equal conditions is both a question of quality for KTH and a given part of our values. For information about processing of personal data in the recruitment process please read here. We firmly decline all contact with staffing and recruitment agencies and job ad salespersons. Disclaimer: In case of discrepancy between the Swedish original and the English translation of the job announcement, the Swedish version takes precedence. Type of employment Temporary position longer than 6 months
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