Embedded learning and optimization for the next generation of smart industrial control systems





ESR5 – KU Leuven

PhD Position in model predictive control for flexible robotic systems

 


 

 

Institution:
KU Leuven, Belgium

 


 

 
Content:
  1. Introduction
  2. PhD Project Descriptions
  3. Supervisors and Main Contacts
  4. Candidate Profiles
  5. Application
  6. Marie Curie Eligibility Criteria In Short

 


 

Introduction
 
The PhD position is part of the European Training Network ‟ELO-X – Embedded Learning and Optimisation for the neXt generation of smart industrial control systems”. ELO-X will recruit altogether 15 PhD fellows at six research universities and five international companies from five European countries, who will meet regularly during exchange visits, training events, workshops, and summer schools organized by the network.
 
This position at KU Leuven is focused on producing performant formulations of optimal control problems for a range of robotics applications. The position is based in the MECO research team headed by prof. Jan Swevers. The aim is the development of opensource software implementations of tailored model predictive control schemes with a strong industrial relevance. There will be a close cooperation with the other ELO-X PhD fellows, in particular with those partners that will host mutual exchange visits of several months durations: at École Polytechnique Fédéral de Lausanne and ShangaiTech, the connection with generic methodological advances in the field of computational control and mathematical optimisation will be strengthend, while at Atlas Copco, an industrial perspective will be deepened.
 
PhD Project Description
 
PhD Project: MPC for flexible robotic systems:
The European manufacturing industry is trending towards the production of highlycustomized complex products in small quantities, for which a flexible production system is key to be cost-effective. Flexible automation demands robotic systems such as mobile platforms and serial manipulators to perform multiple and highly complex tasks in unstructured and uncertain environments, hereby involving extensive sensing such as vision and force, and learning on-the-spot through active sensing. MPC holds great potential for controlling such systems since they are characterized by highly nonlinear and coupled dynamics as well as hard operational constraints.
The overall goal of this project is to develop optimisation-based control approaches that increase the performance and flexibility of robotic systems. The first objective is to develop appropriate robot models and tailored embedded optimisation algorithms that are capable of solving the highly nonlinear optimisation problems arising in robotics MPC at a rate in the range of 100-1000 Hertz.
The second objective is to effectively deal with uncertainties: MPC will be merged with active-sensing strategies to learn properties of the environment and reduce uncertainty in the environment while executing the task, and augmented with risk-averse policies to handle the remaining uncertainty. The third objective is to embed the control algorithms in an automated tool chain that facilitates the robot (re)programming for different tasks. In flexible automation, the programming effort is a major cost factor and it is decisive to the economic viability of a robot application.


Timeline and remuneration:
The ideal start time is in spring or early summer 2021. The PhD project lasts for the duration of four years, and is mainly carried out at KU Leuven. The PhD years include international seasonal schools and three longer visits – so called ”secondments” – of two months at other groups in the ELO-X network, depending on the project needs and the scientific interests of the PhD fellows. Three years are funded by the ELO-X project, with a fourth year funded by KU Leuven. The remuneration is generous and will be in line with the EC rules for Marie Curie grant holders. It consists of a salary augmented by a mobility allowance, resulting in a net monthly income of about 2100-2300 Euro depending on family status.
 
Candidate Profiles
 
Ideal candidates hold a Master’s degree in engineering, computer science, or applied mathematics. Successful candidates are typically ranked at or  ear the top of their classes (obtained at least a distinction), have a solid background in systems and control, robotics, optimisation, relevant computer programming skills (Python or Matlab, C++), and enthusiasm for scientific research, including realhardware implementations and experiments. Team player mentality, independence, and problem solving attitude are expected, and proficiency in English is a requirement.
Applicants whose mother tongue is not English must present an official language test report. The acceptable tests are TOEFL, IELTS, and Cambridge Certificate in Advanced English (CAE) or Cambridge Certificate of Proficiency in English (CPE). Required minimum scores are:
• TOEFL: 600 (paper-based test), 100 (internet-based test);
• IELTS: 7 (only Academic IELTS test accepted);
 
Supervisors and Main Contacts
 
Supervising team at KU Leuven :
 

Prof. Jan Swevers (head of the MECO research group);

  • Prof. Goele Pipeleers (control, numerical optimisation);
  • Dr. Joris Gillis (nonlinear optimisation, optimal control and model predictive control).
 
Main Contacts at the ELO-X Partner Institutes which could host secondments:
 
  •  École Polytechnique Fédéral de Lausanne: Prof. Colin Jones;
  •  Atlas Copco: Dr. Kasper Masschaele;
  •  ShanghaiTech: Prof. Boris Houska.
 
Application
 
To apply, send an email to elo-x@imtek.uni-freiburg.de in form of one single PDF attachment containing all contents or links (any other information within the email will not be processed). Subject of your email should be: “ELO-X PhD Application – ESR 5”.

Please include, in your single PDF document, the following items in this order:

  1. A cover letter incl. statement of research interests and career goals (max. 2 pages);
  2. An academic CV;
  3. Contact details of at least two referees incl. phone numbers and emails;
  4. Your diplomas and transcript of course work and grades;
  5. Sample of technical writing (publication or thesis);
  6. Proof of English language proficiency test results.

 

Please send your application before March 25, 2021.

 

Note that your PDF will be forwarded to several people in the ELO-X institutions and that in particular all Supervisory Board members of ELO-X will have access to your application material. If you want to apply to more than one ELO-X position, please create and send separate PDFs.
 
Marie Curie Fellowship Eligibility Criteria in Short
To be eligible, you need to be an “Early Stage Researcher” (ESR) i.e. simultaneously fulfill the following criteria at the time of recruitment:
  1. Nationality: you may be of any nationality.
  2. Mobility: you must not have resided or carried out your main activity (work, studies, etc…) in Belgium for more than 12 months in the 3 years immediately prior to your recruitment under the ELO-X project.
  3. Qualifications and research experience: you must be in the first 4 years of your research career after the master degree was awarded.