[I-RIM ML] [Jobs] Two PhD Positions in Construction Robotics: Adaptive Manipulation and Robot Learning, KULeuven, Belgium

[Renaud Detry]

Vacancy: Two PhD Positions in Construction Robotics: Adaptive Manipulation and Robot Learning

Location: KU Leuven, Leuven, Belgium
Starting Date: Summer 2022
Duration: 4Y
Supervisors: Profs. Renaud Detry and Herman Bruyninckx
Announcement Posted On: May 31 2022
Application Deadline: June 15
Status and additional information: https://es.sonicurlprotection-fra.com/click?PV=2&MSGID=202205311954480197603&URLID=2&ESV=10.0.16.7295&IV=C6BE4EA4C53B9F9C1551E513102D6BB4&TT=1654026890736&ESN=7FY5jlv84z8BV2segkpsz4Wop04urNsMNuaDK96fypo%3D&KV=1536961729280&B64_ENCODED_URL=aHR0cDovL3JlbmF1ZC1kZXRyeS5uZXQvam9icy92YWMva3VsZXV2ZW4tZXUtMjAyMmEucGhw&HK=7DD67FD24D995BBAF3DD9CC30851E1EBCFA5DE855AA1A216E5BD0F7A64A02FFD

## Research

KU Leuven looking for two highly motivated PhD students for an
EU-funded project in construction robotics. The aims of the research
are to develop methods that allow a robot to maintain situational
awareness and conduct dexterous manipulation tasks despite high
perceptual uncertainty caused by the presence of dust in the air. One
student will be responsible for learning-based mechanisms that allow
the robot to fuse data from multiple sensors and forward models of its
own progress to solve a situation-awareness problem. The second
student will focus on force-controlled manipulation of compliant
material.

Funding is available for four years.

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 candidates 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 candidates 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.

For the first task (student 1), 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,
- a copy of academic transcripts (bachelor/master grades).

Applicants must be prepared to provide two reference letters upon
request.

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

kuleuven-eu-2022a at renaud-detry.net

Questions can be directed to the same address.

Applications can be sent immediately and will be evaluated until June 15 2022. To verify if the position is still available, visit
https://es.sonicurlprotection-fra.com/click?PV=2&MSGID=202205311954480197603&URLID=1&ESV=10.0.16.7295&IV=FAC49F84953B6C004E5F8079BADF9906&TT=1654026890735&ESN=ZLVDyowNIkeDFsluBgc3lq%2B04fr5arUiikdRYzO5o9I%3D&KV=1536961729280&B64_ENCODED_URL=aHR0cDovL3JlbmF1ZC1kZXRyeS5uZXQvam9icy92YWMva3VsZXV2ZW4tZXUtMjAyMmEucGhw&HK=A8B9630FEC966DFEC2DD0DB24819E72DFAD9DF82E26C8E59087301FD622F5277.