Licentiate in Machine Learning for Aerial Imagery - Hiring in process/Finished, not possible to apply

Project description

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

We offer

• The possibility to study in a dynamic and international research environment in collaboration with industries and prominent universities from all over the world Read more
• A workplace with many employee benefits and monthly salary according to KTH’s Doctoral student salary agreement
• A postgraduate education at an institution that is active and supportive in matters pertaining to working conditions, gender equality and diversity as well as study environment
• Help to relocate and be settled in Sweden and at KTH
• The PhD program in Electrical Engineering provides world class quality education, including a large list of graduate courses ensuring an in-depth development of relevant competences and skills. You have many opportunities to participate at conferences, projects and other relevant events

Admission requirements

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

• passed a second cycle degree (for example a master's degree)
• completed course requirements of at least 240 higher education credits, of which at least 60 second-cycle higher education credits or
• acquired, in some other way within or outside the country, substantially equivalent knowledge

In addition to the above, there is also a mandatory requirement for English equivalent to English B/6 read more here

Selection

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

• independently pursue his or her work
• collaborate with others
• have a professional approach and
• analyse and work with complex issues

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.

Target degree: Licentiate

Information 

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

Representatives

You will find contact information for union representatives on KTH's website

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

• CV including your relevant professional experience and knowledge
• Application letter with a brief description of why you want to pursue research studies, about what your academic interests are and how they relate to your previous studies and future goals (Maximum 2 pages long)
• Copies of diplomas and grades from previous university studies and certificates of fulfilled language requirements (see above). Translations into English or Swedish if the original document is not issued in one of these languages
• Representative publications or technical reports. For longer documents, please provide a summary (abstract) and a web link to the full text

Other information

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.

Disclaimer: In case of discrepancy between the Swedish original and the English translation of the job announcement, the Swedish version takes precedence.