TU Delft

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Originele vacaturetekst

PhD Position(s) I-GNSS Positioning for Assisted and Automated Driving

Faculty Civil Engineering & Geosciences

The Faculty of Civil Engineering & Geosciences (CEG) is committed to outstanding international research and education in the field of civil engineering, applied earth sciences, traffic and transport, water technology, and delta technology. Our research feeds into our educational programmes and covers societal challenges such as climate change, energy transition, resource depletion, urbanisation and the availability of clean water, conducted in close cooperation with a wide range of research institutions. CEG is convinced that Open Science helps to achieve our goals and supports its scientists in integrating Open Science in their research practice. The Faculty of CEG comprises 28 research groups in the following seven departments: Materials Mechanics Management & Design, Engineering Structures, Geoscience and Engineering, Geoscience and Remote Sensing, Transport & Planning, Hydraulic Engineering and Water Management.

Click here to go to the website of the Faculty of Civil Engineering & Geosciences.

Functie omschrijving

The research project aims to develop reliable centimetre-level interferometric-GNSS (I-GNSS) positioning for assisted and automated driving. To this end we address detection theory for real-time kinematic (RTK) carrier-phase positioning in the context of multi-frequency, multi-constellation GNSS. Statistical testing, as well as its performance evaluation, will be set-up as to accommodate multiple competing sources of threats and faults to, and in, the measurement system, while taking into account the unrecognized impact statistical testing has on the distribution of the estimator for the position.

The position is located within the department of Geoscience and Remote Sensing (GRS). We seek to advance the understanding of dynamic processes on—and human interaction with—Earth, with a focus on geodesy and atmospheric sciences. The approach is based on the development of observation technology as well as the modelling of processes. Our ambition is to create an interdisciplinary research environment in which scientific staff and students explore, learn, and teach. GRS (with about 110 staff members of which 25 faculty staff) conducts a research programme in the disciplines of geodesy, remote sensing, data science, earth-oriented space research, and climate and atmospheric sciences. It focuses on the interrelation between new observational techniques and applications in engineering and geosciences, including the development of space-borne, airborne, and ground-based methods and models. The department has an internationally leading role in research related to 2D and 3D surveying, geodesy, satellite remote sensing, natural hazards, geodynamics and climate studies. Please check www.tudelft.nl/ceg/grs.

Functie eisen

There are currently two open positions for PhD-candidates. Candidates are required to have a strong background in mathematical statistics, signal processing and GNSS. Candidates are expected to have an MSc-degree in a relevant discipline (such as mathematics, electrical engineering, computer science, or satellite navigation), good command of English, as well as good analytical and programming skills, and a proven ability to find elegant and creative solutions to challenging problems. If your mother language is not English and you do not hold a degree from an institution in which English is the language of instruction, you must submit proof of English proficiency from either TOEFL (minimum total score of 100) or IELTS (minimum total score of 7.0). Proof of English language proficiency certificates older than two years are not accepted.

Successful candidates will be appointed for 4 years. TU Delft offers an excellent and stimulating research environment with extensive available infrastructure and expertise.


TU Delft offers a customisable compensation package, a discount for health insurance and sport memberships, and a monthly work costs contribution. Flexible work schedules can be arranged. Salary and benefits are in accordance with the Collective Labour Agreement for Dutch Universities. The minimum salary mentioned is the salary in your first year. The salary mentioned as the maximum will be your salary in your fourth year.

As a PhD candidate you will be enrolled in the TU Delft Graduate School. TU Delft Graduate School provides an inspiring research environment; an excellent team of supervisors, academic staff and a mentor; and a Doctoral Education Programme aimed at developing your transferable, discipline-related and research skills. Please visit www.tudelft.nl/phd for more information.

Informeren en solliciteren

For information about this vacancy, you can contact dr. Christiaan Tiberius, Associate Professor, email: C.C.J.M.Tiberius@tudelft.nl, tel: +31 15 27 82573.

To apply, please email the following documents combined in a single pdf file to Recruitment-CiTG@tudelft.nl before the 1st of September 2020:

  • a letter of motivation in which explicitly you address your background in mathematical statistics

  • a detailed CV

  • an abstract of your Master thesis (1 page)

  • a transcript of your BSc and MSc (list of courses taken and grades - in English

  • names and contactdetails of 2 references

Please refer to vacancy number TUD00345 in your application. Please note that applications will not be processed if all documents required are not compiled into a single pdf document named 'TUD00345_YourLastName.pdf’.

A pre-employment screening can be part of the application procedure.

Acquisitie naar aanleiding van deze vacature wordt niet op prijs gesteld.

36-40 uur per week
Type vacature:


  • Er is geen minimale opleiding vereist
  • Voor deze functie is er geen minimale werkervaring vereist

Wat wij bieden

€ 2.395,- tot € 3.061,- per maand