We’re looking for a scientific software developer with Machine Learning (ML) expertise (MSc or PhD in ML).
Together with our current mathematics and Machine Learning developers, you will work on developing new functionality where state-of-the-art ML techniques are applied to problems in computational chemistry.
https://www.scm.com/news/job-opening-software-developer-machine-learning-in…
Dr. S.J.A. van Gisbergen
Directeur
Software for Chemistry & Materials B.V.
De Boelelaan 1083
1081 HV Amsterdam, The Netherlands
E-mail: vangisbergen(a)scm.com
http://www.scm.com
Dear All,
A video abstract can help the reader to have a clear understanding of
the paper. We are pleased to announce that the Robotics 2021–2022 Best
Video Abstract Award is open for applications. Authors are encouraged to
provide a video abstract when submitting their manuscripts in order to
improve the accessibility of papers. The winner will be selected through
a vote by our readers and Award Committee from the papers published in
Robotics.
Timeline:
– Deadline for video abstract submission: 31 December 2022;
– Voting period: 1 January 2023–31 January 2023;
– Date for announcement of the winner: 28 February 2023.
Prize:
There will be one awardee for this award, and the winner will receive
the following:
– CHF 500 (Swiss francs);
– A waiver to publish a paper in Robotics (submitted before the end of
2023);
– An electronic certificate.
Who can participate?
Authors who have written articles and reviews published in 2021–2022
with a video abstract.
For detail information, please click:
https://www.mdpi.com/journal/robotics/awards/1389
PLEASE NOTE: All video abstracts will be assessed for editorial
suitability and quality by the editorial team.
Please upload your video abstract when submitting your manuscript if you
are interested in the award. For the authors of published papers, please
send a video and a manuscript link to the Robotics Editorial Office
(robotics(a)mdpi.com) if you would like to apply for the award.
Charlene Dong
Managing Editor
Email: charlene.dong(a)mdpi.com
Robotics (http://www.mdpi.com/journal/robotics/)
10th Anniversary of Robotics: A series of special content and events at
https://www.mdpi.com/journal/robotics/anniversary
Dear colleagues,
Apologies for cross-posting. We have an opening for one 18 months postdoc position "Deep Learning for Human-Robot Interaction" at TU Delft, Netherlands.
This project will focus on various aspects of human robot interaction leveraging deep learning methods. Robots can learn to interact with humans but also from interactions with humans. In both cases understanding human behavior is crucial. Human state and intentions are very ambiguous and uncertain, fusing information from multiple sensing and input modalities might allow the robot to disambiguate. For example, in imitation learning approaches instructions from one modality typically are not complete. Here the challenge lies in learning which information, from which modality is relevant for the task, and which is not.
This vacancy is part of the project Open Deep Learning Toolkit for Robotics (OpenDR) https://opendr.eu/ .
For more information and instructions on how to apply (deadline September 15th), see
https://www.tudelft.nl/over-tu-delft/werken-bij-tu-delft/vacatures/details?…
Best regards,
Jens
--
Dr.-Ing. Jens Kober
Associate Professor, Cognitive Robotics department
Delft University of Technology
Mekelweg 2 (3mE Building, Office F-2-380)
2628 CD Delft, The Netherlands
Tel.: +31 (0)15 27 85150
http://www.jenskober.de