皇家工学院Doctoral student in learning and optimization for edge computing申请条件要求-申请方
主办方
皇家工学院
PhD直招介绍
Project description
Third-cycle subject: Computer science
The Division of Network and Systems Engineering is looking for one doctoral students 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( https://www.tecosa.center.kth.se/ ) 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( https://wasp-sweden.org/ ) and in Digital Futures( https://www.digitalfutures.kth.se/ ). We have an extensive academic network and collaborate with researchers at MIT, UIUC, Stanford, EPFL, among others.
For more information( https://www.kth.se/sv/cs/nse/division-of-network-and-systems-engineering-1.790377 )
Supervision: Prof. Viktoria Fodor and Prof. György Dán
What 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( https://www.kth.se/en/studies/phd/why-1.521017 ).
A workplace with many employee benefits and monthly salary according to KTH’s Doctoral student salary agreement( https://intra.kth.se/en/anstallning/anstallningsvillkor/lon/doktorandstegen-1.572915 ).
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( https://www.kth.se/en/om/work-at-kth/relocation ).
Target degree: Doctoral 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. 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.
Union representatives
You will find contact information for union representatives on KTH's website( https://www.kth.se/en/om/work-at-kth/fackrepresentanter-1.500898 ).
Doctoral section (Students’ union on KTH Royal Institute of Technology)
You will find contact information for doctoral section on the section's website( https://www.dr.kth.se/ ).
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( https://www.kth.se/en/om/work-at-kth/processing-of-personal-data-in-the-recruitment-process-1.823440 ) in the recruitment process.
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. Read more here( https://www.kth.se/en/om )
Type of employment: Temporary position
Contract type: Full time
First day of employment: According to agreement
Number of positions: 1
Full-time equivalent: 100%
City: Stockholm
County: Stockholms län
Country: Sweden
Reference number: J-2024-3234
Contact:
Prof. György Dan, gyuri@kth.se .
Prof. Viktoria Fodor, vjfodor@kth.se .
HR Officer Lisa Olsson, rekrytering@eecs.kth.se .
Published: 2024-12-05
Last application date: 2025-02-03
皇家工学院 Doctoral student in learning and optimization for edge computing项目有没有奖学金，是不是全奖Phd招生，下面我们一起看一下【大学名称】Phd的奖学金资助情况
项目资助情况
Monthly salary according to KTH's doctoral student salary agreement
皇家工学院Phd申请条件和要求都有哪些？Doctoral student in learning and optimization for edge computing项目是不是全奖？有没有奖学金？下面我们一起看一下皇家工学院申请Phd直招需要具备哪些条件和要求，以及托福、雅思语言成绩要到多少才能申请。
申请要求
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( https://www.kth.se/en/studies/phd/entry-requirements-for-doctoral-studies-1.520175 ).
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.
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.
报名方式
申请链接
联系人
姓名：Prof. György Dan
邮箱：gyuri@kth.se
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