[I-RIM ML] [jobs] PhD Position: Robot Learning For Vision-Driven Manipulation, KULeuven, Belgium

[Renaud Detry]

DOCTORAL POSITION AVAILABLE IN ROBOT LEARNING FOR VISION-DRIVEN MANIPULATION

Location: KU Leuven, Leuven, Belgium
Starting Date: Fall 2023
Duration: 4Y
Supervisor: Renaud Detry
Announcement Posted On: June 2 2023
Status and additional information: https://es.sonicurlprotection-fra.com/click?PV=2&MSGID=202306021239340297154&URLID=2&ESV=10.0.19.7431&IV=C91BAB5A156075AD6349FFB29BFE1387&TT=1685709576264&ESN=H20T30O8TZh1DCs7N8PV0HjX1WO5s%2FdUdDxJYtrj%2Bu8%3D&KV=1536961729280&B64_ENCODED_URL=aHR0cDovL3JlbmF1ZC1kZXRyeS5uZXQvam9icy92YWMva3VsZXV2ZW4tenNnLTIwMjNhLnBocA&HK=4C82E1F835B70560FCA0F43BF493428ECFE6460E2477ACB23F2F43CE04BD63F8

KU Leuven looking for a highly motivated PhD student to work on robot learning for vision-driven manipulation. The project is articulated around the problem of guiding multi-step manipulation tasks using vision and touch. Specific objectives will be established jointly with the successful candidate.

Funding is available for two years, and it is expected that an additional two years of support will be provided (4 years total).

KU Leuven is Belgium's largest university, and a leading higher education and research institution – amongst the top-100 universities worldwide. It is located in Leuven, a short train hop away from Brussels. This project will be hosted by two departments: the departments of electrical engineering (group PSI) and mechanical engineering (group RAM).

## TA Work

The successful candidate will assist with teaching at most one EE/ME course per quad (i.e., two per year). The workload will be at most 6 hours per week.

## Requirements

The successful candidate must have a degree(s) in Engineering, Physics, Math, Computer Science or a related field, and fluency in at least one mainstream computer programming language.

Candidates must demonstrate their ability to assist with the TA work, either with a degree or transcripts of courses relevant to EE or ME.

A machine-learning background is strongly valued.

## Application

Applicants must submit:
 • a one-page cover letter describing their background and interests,
 • curriculum vitae, including publications, and a list of in-person or online courses on computer vision, machine learning and robotics that the applicant has completed,
 • availability (earliest feasible starting date),
 • if available, a link to the candidate's SCM page (e.g., on GitHub.com) that illustrates past programming projects,
 • The names, e-mail and phone number of at least two referees,
 • a copy of academic transcripts (bachelor/master grades).

Applications should be sent, *in a single PDF document*, to:

kuleuven-zsg-2023a at renaud-detry.net

Questions can be directed to the same address.

Applications can be sent immediately and will be evaluated until the position is taken. To verify if the position is still available, visit https://es.sonicurlprotection-fra.com/click?PV=2&MSGID=202306021239340297154&URLID=1&ESV=10.0.19.7431&IV=F51A0283B8C08B2D64F28A5C77845316&TT=1685709576264&ESN=tm0tRgWPdgR5E%2FsH6cTKU4XaJegVK01ZBLN8WjWVvZE%3D&KV=1536961729280&B64_ENCODED_URL=aHR0cDovL3JlbmF1ZC1kZXRyeS5uZXQvam9icy92YWMva3VsZXV2ZW4tenNnLTIwMjNhLnBocA&HK=B523321B288C02ED5F68C4AD7578BB8AB2D7F390729397C968028457694BDE70.

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renaud-detry.net
KULeuven.be
esat.kuleuven.be/psi & mech.kuleuven.be/ram
Office: ESAT/01.07, renaud-detry.net/reachme
Landline+cell: +32 16 37 70 36