Postdoc Distributionally Robust Control

15 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

31 Mar 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

Recent developments in sensing and communication technology offer unprecedented opportunities by ubiquitously collecting data at high detail and at large scale. Utilization of data at these scales, however, poses a major challenge for control systems, particularly in view of the additional inherent uncertainty that data-driven control signals introduce to systems behavior. In fact, this effect has not been well understood to this date, primarily due to the missing link between data analytics techniques in machine learning and the underlying physics of dynamical systems.

The goal of this project is to address this issue by proposing a novel control design paradigm embracing ideas from the emerging field of distributionally robust optimization (DRO). DRO is a decision-making model whose solutions are optimized against all distributions consistent with given prior information. Recent breakthrough work, among others by the PI of this proposal, has shown that many DRO models can be solved in polynomial time even when the corresponding stochastic models are intractable. DRO models also offer a more realistic account of uncertainty and mitigate the infamous post-decision disappointment of stochastic models.

Requirements
Specific Requirements

Candidates for this challenging project should have a PhD degree and background in e.g., systems and control, computer science, applied mathematics, electrical engineering, mechanical engineering, or chemical engineering. The candidate must be enthusiastic and greatly interested in fundamental research in addition to having good programming skills for implementing state-of-the-art advanced algorithms. Familiarity or previous experience with the following topics is a plus: model predictive control, model-based and data-driven fault detection and identification, moving horizon estimation, convex optimization, randomized algorithms, stochastic programming, machine learning. In addition, excellent communication skills are important for this position and a good command of the English language is required. Previous experience in an industrial environment or serving as a liaison with industrial partners is a plus. We offer the opportunity to perform scientifically challenging research in a multi-disciplinary research group in collaboration with several key industrial partners in high-tech manufacturing.

Additional Information
Benefits

Salary and benefits are in accordance with the Collective Labour Agreement for Dutch Universities (salary indication: € 4.036 – € 5.090 per month gross). 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.

The appointment will be for 1 year, with the possibility for extension up to 3 years.

Selection process

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

Additional comments

For more information about this vacancy, please contact Peyman Mohajerin Esfahani, [email protected] .

Are you interested in this vacancy? Please apply by 31 March 2024 via the application button and upload:

• motivation letter
• detailed CV
• names and contact information of 3 references.

For information about the application procedure, please contact Linda Ruijters, HR Advisor, [email protected] .

Notes:
– You can apply online. We will not process applications sent by email and/or post.
– Please do not contact us for unsolicited services.

Website for additional job details

https://www.academictransfer.com/339082/

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/339082/postdoc-distributionally-robust-cont…

Contact

City

Delft

Website

http://www.tudelft.nl/

Street

Mekelweg 2

Postal Code

2628 CD

STATUS: EXPIRED