1 Mar 2024
Job Information
- Organisation/Company
Delft University of Technology (TU Delft)- Research Field
Technology- Researcher Profile
First Stage Researcher (R1)- Country
Netherlands- Application Deadline
30 Apr 2024 - 21:59 (UTC)- Type of Contract
Temporary- Job Status
Not Applicable- Hours Per Week
40.0- Is the job funded through the EU Research Framework Programme?
Not funded by an EU programme- Is the Job related to staff position within a Research Infrastructure?
No
Offer Description
We live in a world of interconnected networks of autonomous sensing systems, catering to diverse applications in fields of automotive, satellites, robotics and many more. There are various challenges in such large-scale distributed networks i.e., the low-cost sensing, decentralized statistical inference, distributed control and online decision making. These distributed systems will have to fuse a combination of batch, streaming and intermittently-available datasets (typically from multi-modal sensors), and make prudent inferences using minimal communication with neighboring nodes. In view of energy-efficient solutions (i.e., minimizing both communication, processing and memory resource), these mobile systems will be autonomous and will rely heavily on on-board inference. In this project, the PhD candidate will focus on developing distributed multi-modal sensor fusion algorithms for hybrid datasets (batch, streaming and intermittently-available), with applications to distributed autonomous systems. In particular, statistically robust, probabilistic machine learning algorithms will be explored for time-varying graphs, which naturally arises in mobile autonomous systems, tackling challenges of PNT, distributed inference, control and learning.
Requirements
Specific Requirements
You should have:
- A Masters degree in Electrical Engineering, Systems & Control, Engineering Physics, Applied Mathematics, or any field related to the lab’s research topics;
- A background in applied mathematics, particularly, linear algebra and probability;
- A solid understanding of statistical signal processing and distributed optimization;
- An experience in programming e.g., Python, MATLAB, Julia
- A good command of English (verbal and written);
- Excellent communication and interpersonal skills;
- Ability to work in a collaborative environment.
Doing a PhD at TU Delft requires English proficiency at a certain level to ensure that the candidate can communicate and interact well, participate in English-taught Doctoral Education courses, and write scientific articles and a final thesis. For more details, please check the Graduate Schools Admission Requirements.
Doing a PhD at TU Delft requires English proficiency at a certain level to ensure that the candidate is able to communicate and interact well, participate in English-taught Doctoral Education courses, and write scientific articles and a final thesis. For more details please check the Graduate Schools Admission Requirements .
Additional Information
Benefits
Doctoral candidates will be offered a 4-year period of employment in principle, but in the form of 2 employment contracts. An initial 1,5 year contract with an official go/no go progress assessment within 15 months. Followed by an additional contract for the remaining 2,5 years assuming everything goes well and performance requirements are met.
Salary and benefits are in accordance with the Collective Labour Agreement for Dutch Universities, increasing from € 2770 per month in the first year to € 3539 in the fourth year. As a PhD candidate you will be enrolled in the TU Delft Graduate School. The TU Delft Graduate School provides an inspiring research environment with an excellent team of supervisors, academic staff and a mentor. The Doctoral Education Programme is aimed at developing your transferable, discipline-related and research skills.
The TU Delft offers a customisable compensation package, discounts on health insurance, and a monthly work costs contribution. Flexible work schedules can be arranged.
For international applicants, TU Delft has the Coming to Delft Service . This service provides information for new international employees to help you prepare the relocation and to settle in the Netherlands. The Coming to Delft Service offers a Dual Career Programme for partners and they organise events to expand your (social) network.
Selection process
Are you interested in this vacancy? Please apply by April 30, 2024, via the application button, and upload:
- A cover letter stating your motivation (max 1 page)
- A detailed curriculum vitae;
- Name and contact information of two professional referees;
- A list of courses taken with grades obtained in Bachelors and Masters degree;
- A list of publications (if any);
- A summary of Masters thesis.
The available position will be filled as soon as possible (i.e. once a suitable candidate is found). This means that the selection of candidates will already start before the application deadline.
A pre-employment screening can be part of the selection procedure.
You can apply online. We will not process applications sent by email and/or post.
Please do not contact us for unsolicited services.
Additional comments
For more information about this vacancy, please contact Dr. Raj Thilak Rajan at [email protected]
- Website for additional job details
https://www.academictransfer.com/338427/
Work Location(s)
- Number of offers available
- 1
- Company/Institute
- Delft University of Technology
- Country
- Netherlands
- City
- Delft
- Postal Code
- 2628 CD
- Street
- Mekelweg 2
- Geofield
Where to apply
- Website
https://www.academictransfer.com/en/338427/phd-position-distributed-sensor-fusi…
Contact
- City
Delft- Website
http://www.tudelft.nl/- Street
Mekelweg 2- Postal Code
2628 CD
STATUS: EXPIRED
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