Doctoral student in learning and optimization for edge computing
21 hours ago
Doctoral student in learning and optimization for edge computing
The Division of Network and Systems Engineering is looking for one doctoral student with a very strong background and interest in system modeling, optimization, and machine learning. The successful candidate will join a MSCA Doctoral Network project on developing rigorous, novel tools for safe and prompt learning and optimization of distributed network infrastructures. A strong focus will lie on the development of algorithms that include machine learning components, and on cooperation with industrial partners and with the TECoSA competence center at KTH.
The Division of Network and Systems Engineering conducts fundamental research in networked systems, wireless communications and cyber security. Industrial projects involve partners such as Ericsson, Atlas Copco and Telenor. Part of the research is conducted within the framework of the Wallenberg AI, Autonomous Systems and Software Program and in Digital Futures. We have an extensive academic network and collaborate with researchers at MIT, UIUC, Stanford, EPFL, among others.
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), or
- 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
Applicants must not have resided or carried out their main activity (work, studies, etc.) in Sweden for more than 12 months in the 36 months immediately before the date of recruitment, due to the MSCA DN mobility rules.
In addition to the above, there is also a mandatory requirement for English equivalent to English B/6.
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
- analyse and work with complex issues
In the evaluation of candidates, great emphasis is placed on study results and completed courses. An earlier specialization in optimization and/or mathematical statistics and/or machine learning is highly desirable and especially meritorious.
Applicants are expected to be able to read and write scientific texts in English, as well as being able to communicate verbally in Swedish, as it is demanded in the everyday work.
After the qualification requirements, great emphasis will be placed on personal competency.
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. In the case of studies that are to be completed with a licentiate degree, the total period of employment may not be longer than what corresponds to full-time doctoral education for two years.
To apply for the 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:
- CV including your relevant professional experience and knowledge.
- Copies of diplomas and grades from previous university studies and certificates of fulfilled language requirements. Translations into English or Swedish if the original document is not issued in one of these languages. Copies of originals must be certified.
- 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.
According to The Protective Security Act (2018-585), the candidate must undergo and pass security vetting if the position is placed in a security class. Information regarding whether the position is subject to such a classification will be provided during the recruitment process.
We firmly decline all contact with staffing, 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.
About KTH
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.
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