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Stillingstittel:
PhD position in Management of IoT Networking in Remote and Resource-constrained Environments

Stillingsbeskrivelse:
Jobbnorge ID: 166496

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We are looking for dedicated employees to join us.

   

Video: https://www.youtube.com/watch?v=cIgKd1SwGLI

About the position

This position is open in the context of the PhD programme in Telematics at the Department of Information Security and Communication Technology. The research focus is on the management of IoT networks in remote and resource-constrained environments.

The expected research activities are to be carried out in close cooperation with other PhD students and faculty members associated to the NTNU IoT, QUAM and Norwegian Open AI Labs.

The position reports to the Head of Department

Job abstractJV_description

The development of the fifth generation (5G) of mobile and wireless networks, aligned with concept of the Internet of Things (IoT), has introduced challenges and opportunities in network management. New designs and architectures have emerged, combining multiple resources, services and innovative enabling technologies (e.g. network slicing, software-defined networking). These require careful and complex planning, supported by continuous monitoring in order to meet the desired performance. However, static configurations, designed by specialists in different fields, are not sufficient to effectively take advantage of the added functionalities and flexibility given by 5G. Machine learning (ML) techniques are seen as a possible approach to enable dynamic solutions for network management, service scaling, among other possibilities. However, this becomes approach can be particularly difficult in remote and resource-constrained environments.

In order to enable intelligence-based and cognitive network management next-generation networks, forthcoming IoT/5G architectures must consider not only the network infrastructure but also services' requirements, as well as the user equipment (UE) and its limitations. For example, in addition to managing a massive IoT network slice, it is fundamental to coordinate its management with the UE and the overall service's goals. On one hand, UEs may consist of resource-constrained embedded devices (e.g. sensors), where an efficient and frugal use of resources is crucial for achieving increased autonomy (i.e. lifetime). On the other hand, meeting the services' demands may require adjusting resources from both the network and the UE depending, on the value the of information to be collected/transmitted.

In this position IoT network management in remote and resource-constrained environment will be investigated based on existing and emerging technologies and standards. Bearing this in mind, topics of interest include but are not limited to:

• autonomous and heterogenous network communication (e.g. IEEE 802.15.4, IEEE 802.11, LTE Cat-M/NB-IoT)
• cognitive network-management and protocols
• innovative network-architecture designs
• innovate network- and resource-aware services for:
  • data collection
  • performance-monitoring
  • planning and configuration.

Qualification requirements

The applicant must have a master's degree, or second degree (equivalent to 120 credits), or be enrolled in the final year of a master's degree programme in Communication and Information Technology or Computer Science. It is an advantage if the applicant has experience, or academic background, in machine learning/artificial intelligence. The applicant must satisfy the requirements for admission to the PhD education at NTNU (c.f. https://www.ntnu.edu/phd and https://www.ntnu.edu/studies/phtele). In particular, admission to the PhD education at NTNU requires an average grade of at least B, within a scale of A-E for passing grades (A best) in terms of NTNU's grading scale, for the last two years of the master's degree.

Candidates completing the MSc-degree in spring 2019 are encouraged to apply. The position is also open for an integrated PhD for NTNU students starting the final year of their master degree in autumn 2019; see https://www.ntnu.edu/iik/integrated-phd for information about the integrated PhD.
 

The appointment is to be made in accordance with the regulations in force concerning State Employees and Civil Servants and national guidelines for appointment as PhD, postdoctor and research assistant.

Other qualifications:

• The applicant should have a strong background in computer networking
• Background in Machine Learning/Artificial Intelligence will be valued
• The applicant's Master thesis must be research-oriented
• Applicants must have experience with programming and GNU/Linux software
• Motivation for fundamental scientific research of practical relevance is essential
• Publication activities in relevant disciplines will be considered an advantage
• Non-Norwegian-speaking applicants must provide evidence of good English language skills. The following tests can be used as such documentation: TOEFL, IELTS or Cambridge Certificate in Advanced English (CAE) or Cambridge Certificate of Proficiency in English (CPE). Minimum scores are:
  • TOEFL: 600 (paper-based test), 92 (Internet-based test)
  • IELTS: 6.5, with no section lower than 5.5 (only Academic IELTS test accepted)
  • CAE/CPE: grade B.

 

Personal characteristics

The applicant should:

• enjoy working in a team-based environment but also be able to conduct independent activities and thinking
• have a problem-solving attitude
• have an inquisitive nature and enjoy cross-disciplinary challenges.

In the evaluation of which candidate is best qualified, emphasis will be placed on education, experience and personal suitability, as well as motivation, in terms of the qualification requirements specified in the advertisement

We offer

• exciting and stimulating tasks in a strong international academic environment
• an open and inclusive work environment with dedicated colleagues
• favourable terms in the Norwegian Public Service Pension Fund
• employee benefits

Salary and conditions

PhD candidate:
PhD candidates are remunerated in code 1017, and are normally remunerated at gross from NOK 449 400 per year. From the salary, 2% is deducted as a contribution to the Norwegian Public Service Pension Fund.

The period of employment is 3 years without teaching assistance or 4 years with teaching assistance. Appointment to a PhD position requires admission to the PhD programme in Telematics. 

As a PhD candidate, you undertake to participate in an organized PhD programme during the employment period. A condition of appointment is that you are in fact qualified for admission to the PhD programme within three months.

Appointment takes place on the terms that apply to State employees at any time, and after the appointment you must assume that there may be changes in the area of work.

General information

Working at NTNU

A good work environment is characterized by diversity. We encourage qualified candidates to apply, regardless of their gender, functional capacity or cultural background. Under the Freedom of Information Act (offentleglova), information about the applicant may be made public even if the applicant has requested not to have their name entered on the list of applicants.

Questions about the position can be directed to David Palma, phone number +47 73590776, e-mail: david.palma (at) ntnu.no

About the application:

The application must contain:

• Curriculum vitae (CV) with information about the candidate's prior training, exams, and work experience
• Certified copies of transcripts and diplomas for the whole bachelor and master's degree. An English translation of all education documents is required unless the documents are in Norwegian.
• Applicants from universities outside Norway are kindly requested to send a diploma supplement or a similar document that describes in detail the study and grading system and the rights for further studies associated with the obtained degree
• Research statement (max. 2 pages) including
  • A short presentation of the motivation for a PhD study
  • How the applicant sees his/her background suitable
  • The applicant's view of research challenges within the area of the PhD position
  • How innovative networking technologies and machine-learning techniques can address challenges with IoT networks in remote and resource-constrained environments
  • How the competence of the applicant can contribute to solving these challenges
• Names and contact information of at least 2 reference persons
• A copy of the master thesis (in PDF), or, for those who are near to completion of their MSc, an extended abstract combined with a statement of how and when the applicant plans to complete the thesis.

Incomplete applications will not be considered.

Publications and other academic works that the applicant would like to be considered in the evaluation must accompany the application. Joint works will be considered. If it is difficult to identify the individual applicant's contribution to joint works, the applicant must include a brief abstractJV_description of his or her contribution.
Please submit your application electronically via jobbnorge.no with your research statement, CV, diplomas, certificates and all other relevant information in a single PDF file. Applicants invited for interview must include certified copies of transcripts and reference letters.

Please refer to the application number 2019/7915 when applying.

Application deadline: May 5, 2019.

Se annonsen og søk på stillingen www.jobbnorge.no

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jobCategoriesCodes_0: http://data.europa.eu/esco/isco/C2310

abstractJV_contact_0: See jobabstractJV_description

contractTypeCodes_0: fulltime

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