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Candidate / Intern

The Next Step to Get Hired and Bring ROS to Real Life.

Internship
California, USA

Add on 11 April 2019

At Open Robotics, we work with industry, academia, and government to
create and support open software and hardware for use in robotics,
from research and education to product development. We develop and
maintain the core of the ROS and Gazebo. Powered by the support of a
global community, these tools are relied upon by hundreds of thousands
of users and developers working with every type of robot imaginable.

The unifying theme of our team and our work is openness. We use and we
build open systems, and we foster an open source community that is at
the heart of our projects.

We are seeking motivated, friendly, collaborative individuals with an
interest in robotics. Direct experience with robotics is a plus, but
not a requirement. All positions are preferred to be full-time and on
site at one of our offices (Mountain View, California or Singapore).
However, we are open to the possibility of part time and offsite
opportunities.

Our current openings (https://urldefense.proofpoint.com/v2/url?u=https-3A__www.openrobotics.org_careers-23BambooHR&d=DwIBaQ&c=clK7kQUTWtAVEOVIgvi0NU5BOUHhpN0H8p7CSfnc_gI&r=0w3solp5fswiyWF2RL6rSs8MCeFamFEPafDTOhgTfYI&m=wlYki35iw-oPDEGH9zOl882MGjaT1E5Oac_OI5k6aXU&s=Vs1bWAuNjZn7RG-wasjwwMX4a49O78dC3uaqT3UUBhw&e=) include:
* Open Source Evangelist
* Technical Project Manager
* Technical Writer
* Software Engineer: Robotics (California and Singapore)
* Software Engineer: Web : (California and Singapore)

We're also looking for excellent interns (though we're already full
for summer 2019 in California): https://urldefense.proofpoint.com/v2/url?u=https-3A__www.openrobotics.org_interns&d=DwIBaQ&c=clK7kQUTWtAVEOVIgvi0NU5BOUHhpN0H8p7CSfnc_gI&r=0w3solp5fswiyWF2RL6rSs8MCeFamFEPafDTOhgTfYI&m=wlYki35iw-oPDEGH9zOl882MGjaT1E5Oac_OI5k6aXU&s=fN3njzb2KzZ-XTgjIPzoONXHlgxh7BvA9SgztyZxZ2o&e=.
(Source: robotics-worldwide)

 

Learning from Demonstration Internship
MERL, Cambridge, MA USA

Add on 11 April 2019

I
MERL is looking for a highly motivated intern to work on developing algorithms for robot learning using learning from demonstration, imitation learning and/or deep reinforcement learning. Successful candidate will collaborate with MERL researchers to design, analyze, and implement new algorithms, conduct experiments, and prepare results for publication. The candidate should have a strong background in (deep) reinforcement learning, Imitation Learning (or Learning from Demonstrations, LfD), machine learning and robotics. Prior experience of working with robotic systems is required. The candidate should be comfortable implementing the developed algorithms in Python and should have prior experience working with ROS. Prior exposure to deep learning and hands-on experience with packages such as Pytorch and/or Tensorflow is expected. The candidate is expected to be a PhD student in Computer Science, Electrical Engineering, Operations Research, Statistics, Applied Mathematics, or a related field, with relevant publication record. Expected duration of the internship is at least 3 months. The position is expected to be available starting late August or early September. Interested candidates are encouraged to apply with their recent CV with list of related publications and links to GitHub repositories (if any).


If interested, please apply using the following link

<https://urldefense.proofpoint.com/v2/url?u=http-3A__www.merl.com_internship_openings.php-3Ftags-3Djha&d=DwIFAw&c=clK7kQUTWtAVEOVIgvi0NU5BOUHhpN0H8p7CSfnc_gI&r=0w3solp5fswiyWF2RL6rSs8MCeFamFEPafDTOhgTfYI&m=CO15iBNeO0rsX7OtSuVyqwz5jrzEKmxPFvFoIE-xyvI&s=Zoq-FU1Gcsy66Rxd4P01nW8LSs0p3-G3CTe6b3OkMxk&e=>https://urldefense.proofpoint.com/v2/url?u=http-3A__www.merl.com_internship_openings.php-3Ftags-3Djha&d=DwIFAw&c=clK7kQUTWtAVEOVIgvi0NU5BOUHhpN0H8p7CSfnc_gI&r=0w3solp5fswiyWF2RL6rSs8MCeFamFEPafDTOhgTfYI&m=CO15iBNeO0rsX7OtSuVyqwz5jrzEKmxPFvFoIE-xyvI&s=Zoq-FU1Gcsy66Rxd4P01nW8LSs0p3-G3CTe6b3OkMxk&e=

To know more about MERL, please visit www.merl.com<https://urldefense.proofpoint.com/v2/url?u=http-3A__www.merl.com&d=DwIFAw&c=clK7kQUTWtAVEOVIgvi0NU5BOUHhpN0H8p7CSfnc_gI&r=0w3solp5fswiyWF2RL6rSs8MCeFamFEPafDTOhgTfYI&m=CO15iBNeO0rsX7OtSuVyqwz5jrzEKmxPFvFoIE-xyvI&s=PE1I1NIww0XBtD6uON2ZGsqdknkmlnFNaHy7MtoLtN0&e=>


If you have questions, please contact me at devesh.jha at merl.com

(Source: robotics-worldwide)


 

Internship: Driving Situation
Valeo.com

Add on 11 March,  2019

InnoCoRe (Innovation and collaborative Research) team is a
multidisciplinary team of “Comfort and Driving Assistance” (CDA) Business
Group. The team’s objective is to explore the fields of autonomous driving,
connected car and user interaction for new technologies and new use cases.
Our work helps defining Valeo’s roadmaps (5-10 years), providing R&D teams
with innovative projects to pursue Engineers, UX designers and project
managers located in France, Germany and California team-up around a common
mission to design and experiment new concepts and services to create added
value for existing Valeo technologies. Their collaboration with Valeo’s
academic network and start-ups ecosystem is key for leveraging scientific
expertise and agility within projects.

Project: Driving Situation

A driving situation corresponds to a representation of the world collected
and/or perceived around a main vehicle in a given instantaneous moment.
This representation is composed of (a) the information that can be
collected in a moment by sensors (Cameras, Lidar, GPS) and (b) information
coming from other services, e.g. related to the road and the weather. A
Situation can be useful to understand the own vehicle status, understand
the status of the surrounding environment and understand the state of the
perceived objects.
These key elements defines the “driving situation” that the driver is
currently facing. Hence, the analysis of a sequence of these instants can
lead to a near future decisions.

The missions
You’ll work within the project driving situations in the following topics.
State of the art:
Study and implementation of methodologies such as Markov Chain and Markov
Decision Processes (MDP) for multi dimensional state spaces.
Feature extraction and Algorithm development:
Extract relevant information given a set of data either with feature
engineering or machine learning techniques, e.g. SVM, PCA, CNN, LSTM, and
Auto-encoders.
Metric Analysis:
Compare performance of the developed algorithms based on either state of
the art scoring systems or ad-hoc systems.

Technical Tools
We are searching for highly motivated, curious and independent students
with the following knowledge:
- General purpose programming language (Python, C++)
- First hands-on experience with a Machine Learning/Deep Learning
framework  (i.e. Scikit-learn, Tensorflow, PyTorch)
- Full proficiency in English (speaking, writing)
- 2nd year of Master’s Degree in  Robotics, Computer Science, Applied
Mathematics or Similar.
Good to have:
- Familiarity in using a multisensor middleware (i.e. ROS, RTMaps)
- Familiarity with simulators (Gazebo, ODE, Carla)
- Experience in coding with OpenCV
- Knowledge about publisher / subscriber systems (i.e. ZeroMQ, MQTT,
RabbitMQ)
- Containerization (Docker) and orchestration (swarm, kubernetes)
- Driving License

Contact

Please send your applications to omar.islas at valeo.com and add
julien.moizard at valeo.com and kevin.nguyen at valeo.com to copy.

-- 
*This e-mail message is intended for the internal use of the intended 
recipient(s) only.
The information contained herein is 
confidential/privileged. Its disclosure or reproduction is strictly 
prohibited.
If you are not the intended recipient, please inform the sender 
immediately, do not disclose it internally or to third parties and destroy 
it.

In the course of our business relationship and for business purposes 
only, Valeo may need to process some of your personal data. 
For more 
information, please refer to the Valeo Data Protection Statement and 
Privacy notice available on Valeo.com

(Source: robotics-worldwide)


 

Graduate assistantship
The University of Rhode Island

Add on 14 March,  2019

We are seeking to fill a funded Ph.D. opening in the area of optical and
acoustic seafloor mapping.  Possible topics include terrain
reconstructions, real-time adaptive path planning, habitat
classification, and SLAM.  The student will participate in field work and
develop a thesis that mixes oceanographic science and marine robotics using
a number of existing vehicles and sensor systems.  The student could enroll
in the URI Ocean Engineering Department or the Graduate School of
Oceanography depending on their prior education and desired degree.

- Desired skill set
Background in computer science and/or engineering
Programming experience in Python, C++ or MATLAB
Familiarity with ROS and/or LCM, or mobile robots in general

- Contact
Please contact Dr. Chris Roman, croman2 at uri.edu


======================================
Chris Roman, Ph.D.
Professor of Oceanography

University of Rhode Island
Graduate School of Oceanography

215 South Ferry Road
Narragansett RI 02882

*croman2 at uri.edu <croman2 at uri.edu>*
Phone 401-874-6115
Fax 401-874-6811

(Source: robotics-worldwide)


 

Internship ROS Software Developer at Neobotix GmbH
Heilbronn, Germany

Add on 4 September,  2018

Hello,we at Neobotix 16 design, develop and manufacture mobile robot systems of all kinds and for customers all over the world. We always aim to improve the field of robotics where the traditional, industry approved robots meet the visions and ideas of high-end research facilities.

We are always looking for interns that help us maintain and enhance our ROS packages.

Your tasks:

Your internship starts with getting to know our robots and current ROS packages in detail.
Run our robots in Gazebo simulations.
Evaluate new packages (localization, navigation, simulation, …) through practical tests on our demo units and help us decide which modules to replace or update.
Add new features to Neobotix ROS packages.
Develop new packages for our mobile robots.

Your profile:

You are studying computer science, mechatronics, robotics or a similar course.
Previous experience with ROS is obviously a huge plus.
You have programming knowledge in C++ and Python.
You want to actively engage in the ROS community and in taking ROS forward.
You have sufficient English language skills to document and discuss your work results.
You are able to work in Heilbronn, Germany.

What we offer:

A chance to get your hands on actual autonomous mobile robots.
A multitude of interesting tasks.
A comfortable working-climate and a flexible work schedule.
The chance to develop innovative robot systems and see them come to live.

We are looking forward to your application (reference ID ROS ) via e-mail to jobs@neobotix.de

(Source: discourse.ros.org)


 

Internship Robot Deployment
Intern / Student, Full-time · München

Add on 21 August,  2018

YOUR TASKS

  • Development of methods for free and constrained navigation in continuously changing warehouses and industrial environments alongside humans, robots, AGVs and other vehicles
  • Coordination of multiple robots at runtime for efficient handling of traffic situations in shared spaces
  • Safety-aware navigation considering limitations imposed by the robot’s safety controllers
  • Definition of the mid-term development roadmap in close collaboration with your navigation team
  • Test and evaluation of the developed approaches in real warehouses at our customers’ sites
  • Coordinate and lead our Robot Navigation team

 

REQUIREMENTS

 

  • You are at the end of your Informatics, Electrical Engineering or comparable studies
  • Good coding knowledge with Python and/ or C/ C++
  • First experience with Linux (Ubuntu)
  • Practical or theoretical experience in the field of robotics
  • Ideally experience with ROS (Robot Operating System)
  • Good English skills, German nice-to-have
  • Valid drivers liscense

 

 

WHAT WE HAVE TO OFFER

  • Develop our robots further in a real environment at the customer
  • Internship with responsibility and a high personal development
  • Company car
  • Robotics = Future = Possible Fulltime job after the internship
  • 100% Startup Atmosphäre
  • Great team events

(Source: Magazino-jobs)


 

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