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PhD Research Fellowship Position in Statistical Signal Processing - Model-distributed Machine-learning for Big Data Analytics in IoT

The Faculty of Information Technology and Electrical Engineering, at the Norwegian University of Science and Technology (NTNU) has a vacancy for a 100% position as a PhD Research fellow at the Department of Electronic Systems (IES).

 

The PhD position is for up to 4 years with 25% work assignments for NTNU IES.

 

Information about the department

Currently IES has approximately 165 full-time employees spread across 45 professors/ass professors, 70 PhD, 25 research/Post.Doc and 25 engineering/administration. IES has the principal responsibility for education and research in electronics at NTNU. IES research portfolio comprises the areas of statistical signal processing, wireless communication, marine acoustics/sub-sea communications, multimedia and speech technology, micro- and nano-technology, sensors, and medical technology.

 

Project description

Big data analytics allows us to discover hidden connections between seemingly unrelated things. However, due to the sheer scale of big data, running machine-learning-based analytics on a single central processor is often impractical. In addition, in the emerging paradigm of internet of things (IoT), large quantities of data are constantly collected by numerous sensors, which are often geographically dispersed or, to make the matters even more challenging, mobile. This makes concentrating the data at a central processing hub unfeasible due to constraints on the energy budgets of the sensors as well as the capacity of the communication channels. Thus, distributed processing of data over networks of machines/agents is essential for performing big-data analytics in future IoT-based applications.

Successful decentralization of most machine-learning algorithms not only requires efficient distribution of the data processing across a network of machines but also needs careful distribution of the underpinning mathematical models over the network. This PhD project will be around developing and analyzing new machine-learning algorithms for big data analytics that can be fully distributed over networks and hence can capture the critical information offered by big data.

The PhD candidate will have the opportunity to collaborate with research scientists from the Commonwealth Scientific and Industrial Research Organisation (CSIRO) of Australia and visit the CSIRO site at Brisbane, Australia. Developed algorithms can be implemented and evaluated on the existing IoT platform at NTNU that is part of the NTNU Internet of Things Lab at IIK.

Qualifications

We seek a highly-motivated individual who has

  • a Master’s degree in Electrical Engineering, Computer Science, Applied Mathematics, or other relevant disciplines

  • strong mathematical background and a research-oriented master thesis in a related field, e.g., signal processing, statistical machine learning, applied mathematics, or optimization

  • experience with programming

     

    The successful candidate should be creative, independent, self-motivated, and have excellent verbal and written communication skills in English. Publication activities in the aforementioned disciplines will be considered an advantage but is not a requirement.

     

    Applicants must be qualified for admission to a PhD study program at NTNU. See http://www.ntnu.edu/ie/research/phd for information about PhD studies at NTNU.

     

    Applicants who do not master a Scandinavian language should provide evidence of good written and spoken English language skills. The following tests can be used as documentation: TOEFL, IELTS, 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 or A.

    The application

    Please submit an application letter describing your motivation, relevant experience, skills and qualifications, and a brief research vision for the position (maximum 2 pages) along with a CV, publication list, letters of reference and proof of fluency in the English language (if applicable) and certificates from both Bachelor and Master degrees.

    Incomplete applications will not be taken into consideration.

    Formalities

    The appointment is made in accordance with the regulations of employment for PhD candidates issued by the Ministry of Education and Research, with relevant parts of the additional guidelines for appointment as a PhD candidate at NTNU. Applicants must participate in an organized PhD programme of study during their period of employment. The candidate appointed must comply with the regulations for employees in the public sector. In addition, a contract will be signed regarding the period of employment.

    Applicants must be qualified for admission to a PhD study program at NTNU. See http://www.ntnu.no/ie/forskning/phd for information about PhD studies at NTNU.

We can offer

  • an informal and friendly workplace with dedicated colleagues

  • academic challenges in a cross-disciplinary team
  • attractive schemes for home loans, insurance and pensions through the Norwegian Public Service Pension Fund

 

For further information about the position, contact Professor Stefan Werner, email: stefan.werner@ntnu.no

 

Salary conditions:

Depending on qualifications and academic background, PhD Candidates (in code 1017) at the Faculty of Information Technology and Electrical Engineering will be remunerated at a minimum of NOK 435 100 per year before tax. Normal wage level is NOK 435 100 – 488 900 of which 2% is deducted for the Norwegian Public Service Pension Fund. The appointment is subject to the conditions in effect at any time for employees in the public sector.

The Faculty of Information Technology and Electrical Engineering wants to attract outstanding and creative candidates who can contribute to our ongoing research activities. We believe that diversity is important to achieve a good, inclusive working environment. We encourage all qualified candidates to apply, regardless of the gender, disability or cultural background.

Under Section 25 of the Freedom of Information Act, information about the applicant may be made public even if the applicant has requested not to have his or her name entered on the list of applicants. Applicants are kindly requested to send a diploma supplement or a similar document, which describes in detail the study and grading system and the rights for further studies associated with the obtained degree.

 

The application with a CV and certified copies of diplomas and certificates must be sent electronically via www.jobbnorge.no with information about education, scientific experience including a list of relevant publications (including a brief description of your contribution if this is not obvious) and other relevant work experience (all in one combined PDF file). Mark the application IE-066-2017.

 

Deadline for applications: June 20th 2017

Søk stillingen

Om stillingen

  • Søknadsfrist
    20. juni 2017
  • Arbeidsgiver
    NTNU - Norwegian University of Science and Technology
  • Nettside
  • Kommune
    Trondheim
  • Arbeidssted
    Trondheim
  • Jobbnorge-ID
    138383
  • Intern-ID
    IE-066-2017
  • Omfang
    Heltid
  • Varighet
    Vikariat/Midlertidig

Om søknader

  • Søknader for denne stillingen registreres i et elektronisk skjema på jobbnorge.no
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