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Universiteit Twente vacancy search engine

PhD Position on Secure Trustable Cognitive Localization Systems


Vacancy details

General information

Organisation

The faculty of Electrical Engineering, Mathematics and Computer Science (EEMCS) uses mathematics, electronics and computer technology to contribute to the development of Information and Communication Technology (ICT). With ICT present in almost every device and product we use nowadays, we embrace our role as contributors to a broad range of societal activities and as pioneers of tomorrow's digital society. As part of a people-first tech university that aims to shape society, individuals and connections, our faculty works together intensively with industrial partners and researchers in the Netherlands and abroad, and conducts extensive research for external commissioning parties and funders. Our research has a high profile both in the Netherlands and internationally. It has been accommodated in three multidisciplinary UT research institutes: Mesa+ Institute, TechMed Centre and Digital Society Institute.

As an employer, the EEMCS Faculty offers jobs that matter. We equip you as a staff member to shape new opportunities both for yourself and for our society. With our Faculty, you will be part of a leading tech university that is changing our world for the better. We offer an open, inclusive and entrepreneurial climate, in which we encourage you to make healthy choices, for example, with our flexible, customizable conditions.   

Reference

2020-143  

Publication start date

30/11/2020

Publication date

06/01/2021

Publication end date

31/01/2021

Vacancy category

Standard

Minimum contract hours

40

Maximum contract hours

40

Position description

Category

Academic staff - PhD

Job title

PhD Position on Secure Trustable Cognitive Localization Systems

Minimum salary

2395

Maximum salary

3061

Job description

The Pervasive Systems Research group at the University of Twente is looking for exceptional candidates for a fully funded 4-year PhD position on Secure Trustable Cognitive Localization Systems. We encourage applications from outstanding candidates with a keen interest in doing research in machine learning for real-world applications.

The main research question of the PhD topic is how to develop machine learning for embedded indoor positioning and navigation systems which provide reliable, robust and trustable services for location awareness applications in dynamic and unstructured indoor environments, such as hospitals, shopping malls, airports, schools, warehouses, and residential buildings.

In particular, embedded AI, multimodal localization, self-supervised learning and federated learning methods will be developed to combine the advantages of various sensing technologies (including WiFi, Bluetooth, inertial measurement unit (IMU), 5G, GPS, UWB, cameras). The sensory information will be gathered, augmented, and processed within personal devices such as smartphone. By doing so, the location and sensitive information of the device/people will remain at the devices, which improves integrity protection and data secureness. In addition, augmented reality on smartphones/Google glasses will be developed for indoor navigation.

The Project
This project is in the scope of the Intelligent Secure Trustable Things (InSecTT) EU project, of which aim is to provide comprehensive cost-efficient solutions of intelligent, end-to-end secure, trustworthy connectivity and interoperability for industrial applications such as smart infrastructure, building, manufacturing, automotive, aeronautics, railway, urban public transport, maritime as well as health. The project is funded the biggest EU Research and Innovation programme, Horizon 2020. The outcomes would enable products and services based on AI compliant to European values and “Made in Europe”.

The PhD candidate will work at the Pervasive Systems Research group, Department of Computer Science, Faculty of Electrical Engineering, Mathematics and Computer Science (EEMCS) at the University of Twente in the Netherlands. The prospective PhD candidate is expected to perform high quality and internationally visible research that gets published at top tier conferences and journals.

Profile

  • The ideal candidate has a Master’s degree in either Computer Science, Electronic Engineering, Telecommunication Engineering, or Mathematics.
  • You have experience in telecommunication, signal processing, computer vision, embedded systems, cyber-physical-systems, data analysis, statistical analysis, machine learning and deep learning.
  • Interested candidates should be interested in solving analytical tasks and develop prototypes, combined with intermediate programming skills (e.g. in R, Python or C-something)
  • Prior experience in generative models, transfer learning, federated learning, deep learning for embedded devices is a plus (with frameworks such as TensorFlow and Keras).
  • Moreover, we are looking for a strong personality to defend your research ideas not only at university but also in an industrial context.
  • You have good communication skills and you have a strong interest in operating at the crossroads of different disciplines.
  • You have an excellent command of English (C1; above IELTS 7 or equivalent).
  • You are able to do independent research and have publication skills.

We offer

As a PhD candidate you will be enrolled in the University of Twente. Your work location is Enschede, but you will spend a part of your time at the Philips offices.

  • A fulltime 4-year PhD-position;
  • We provide excellent mentorship and a stimulating research environment with excellent facilities;
  • You are offered a professional and personal development program within the Twente Graduate School;
  • A starting salary of € 2.395 gross per month in the first year and a salary of € 3.061 in the fourth-year gross per month;
  • A holiday allowance of 8% of the gross annual salary and a year-end bonus of 8.3%;
  • A solid pension scheme;
  • Minimum of 29 holidays per year in case of fulltime employment.

Information and application

Do you want to work at the Best Technical University in The Netherlands, praised by the Keuzegids in 2019? Please send your application before 1 Feb 2021 via the ‘Apply now’ button, and include:

  • A cover letter (maximum 2 pages of A4), emphasizing your specific interest, qualifications, motivations to apply for this position and research ideas for the PhD project;
  • A full Curriculum Vitae, including a list of all courses attended and grades obtained, and, if applicable, a list of publications;
  • A short description (maximum 1 page of A4) of your MSc research.

The selection procedure includes an interview and scientific presentation. And an assessment may be part of the selection procedure. The interviews are scheduled in the 2nd week of February 2021, please take this into account.

For additional information about these positions, you are encouraged to contact Prof. Dr. Paul Havinga: p.j.m.havinga@utwente.nl, Pervasive Systems Research group, Department of Computer Science, University of Twente.

About the department

The faculty of Electrical Engineering, Mathematics and Computer Science (EEMCS) comprises three disciplines that shape Information and Communication Technology. ICT is more than communication. In almost every product we use mathematics, electronics and computer technology and ICT now contributes to all of societies’ activities. The faculty works together intensively with industrial partners and researchers in the Netherlands and abroad and conducts extensive research for external commissioning parties and funders. The research which enjoys a high profile both at home and internationally, has been accommodated in the multidisciplinary research institutes MESA+, CTIT and MIRA.

Position localisation

Job location

Nederland, Enschede, Drienerlolaan 5, 7522 NB

Location

Drienerlolaan 5 7522 NB Enschede

Candidate criteria

Minimum level of education required

4. Master

Scientific area

Engineering