Third-cycle subject: Electrical Engineering
Dengue and Zika are two arboviral viruses that affect a significant portion of the world population. The principle vector species of both viruses are the mosquitoes Aedes aegypti and Aedes albopictus. They breed in very slow-flowing or standing water pools. It is important to reduce and control such potential breeding grounds to contain the spread of these diseases.
Digital Futures https: // www. digitalfutures.kth.se is supporting a project to detect the breeding places, i.e., still-standing water with mosquito larvae, in densely populated areas using drone-based images. You as a PhD student will contribute to this project by exploring and developing learning-based algorithms for multispectral aerial imagery to discover water bodies where larvae are most likely to breed. Your knowledge in machine learning, probability and information theory will allow you to develop efficient learning-based algorithms. Important aspects of this project are the accuracy of the detection and the complexity / cost of the system. Jointly with our project partners at RISE and the University of Colombo, Sri Lanka, you will work in an international research environment.
Supervision: Associate Professor Markus Flierl is proposed to supervise the doctoral student. Decisions are made on admissionWhat we offer
To 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:
In addition to the above, there is also a mandatory requirement for English equivalent to English B/6, read more hereSelection
In 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:
The candidate should have a strong mathematical background. Prior experience in machine learning is needed. The successful applicant should have an outstanding academic track record, and well developed analytical and problem- solving skills. Good command of English orally and in writing is required to publish and present results at international conferences and in international journals.
After the qualification requirements, great emphasis will be placed on personal competency.Target degree: Licentiate degree Information regarding admission and employment
Only 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.Union representatives
You will find contact information for union representatives on KTH's website.Doctoral section (Students' union on KTH Royal Institute of
You will find contact information for doctoral section on the section's website.Application
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/entral European Summer Time).
Applications must include the following elements:
Striving 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.
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Disclaimer: In case of discrepancy between the Swedish original and the English translation of the job announcement, the Swedish version takes precedence.