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Research Engineer

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

University of Sheffield, UK | Robotics Research Engineer

Add on 2 April, 2019

Dear colleagues,
robotics at Deepmind (London, UK) is looking for candidates in robotics
with focus on several research areas relevant to the field (details below).
Please contact me directly (fnori at for applying to this job post
and for requesting additional details.


DeepMind is an Alphabet company acquired by Google in 2014. Deepmind
focuses on using the best available technologies, together with our own
research, to address some of the world’s most pressing and complex
challenges. We work in fields from healthcare to energy efficiency,
collaborating with experts to build tools to support and improve their
work.  Collaborating with Google teams, we also apply our cutting edge
research to products used by millions of people around the world. These
real world applications of AI technology help us work towards one of
DeepMind’s purposes - to use intelligence to make the world a better place.

About our Team

DeepMind's mission <> is to solve intelligence
and use it to make the world a better place.

In the medium term, this means a lot of iterative blue-sky scientific
research. Today, we have hundreds of researchers on staff, including
numerous leaders in fields across AI & Machine Learning.

DeepMind ultimately wants to develop an AGI capable of dealing with a
variety of environments. A truly general AGI needs to be able to act on the
real world and to learn tasks on real robots. The aim of the Robotics Lab
at DeepMind is to endow robots with the ability to learn how to perform
complex manipulation and locomotion tasks. At Deepmind, experts in
different scientific fields (e.g. quantum chemistry, neuroscience, game
theory) collaborate with research scientists and software engineers to
solve grand challenges that would enable multiple scientific breakthroughs.
The Robotics Lab is a group of pioneering research scientists, research
engineers and software engineers uniquely specialised in Robotics at

The Role

Our Robotics Research Team at DeepMind focuses on Machine Learning for
robotics, including but not limited to deep reinforcement learning
algorithms. The robotics lab collaborates with researchers in machine
learning to develop powerful general-purpose learning algorithms for
real-world robotics.

We’re looking for Robotics Research Engineers to work on the problem of
learning real robotics tasks with data-driven machine learning methods. You
should be passionate about the field of robotics and have experience
relevant to this field, such as: modelling and planning for manipulation
and whole-body motion, real-time motion control with online optimisation
methods (e.g. QP, MPC, RL), perception for robotics (e.g. semantic
segmentation, scene understanding), state estimation, etc. The work that we
do presents interesting and unique engineering challenges and as a member
of the Research Engineering team, you’ll contribute towards enhancing the
performance of our research infrastructure and learning algorithms.


   Provide software design and programming support to research projects

   Report and present software developments including status and results

   Architect and implement software libraries for robotics applications

   Collaborate with other researchers to implement and evaluate algorithms

   Design of robotics experiments and scientific evaluation of results
About you

   MEng/MSc/PhD degree in engineering, mathematics, physics, or equivalent

   Strong knowledge and experience of Robotics in at least one of the
   following areas of expertise:

      Modelling, planning and control for hybrid dynamical systems (i.e.
      systems that exhibits both continuous and discrete dynamic
behaviours) with
      application either to manipulation or locomotion

      Reinforcement learning applied on simulated and real robots (with
      continuous action space and continuous state space)

      Sensor fusion for state estimation with different sensors: vision,
      depth sensors, inertial sensors, tactile sensors, proprioception, etc.

      Real-time control with on-line optimisation such as MPC (model
      predictive control) and QP (quadratic programming)

      Middleware and software development for robotics. Experience with
      real-time middleware for robotics will be positively evaluated

      Robotics perception (object pose estimation and matching, scene
      segmentation and dense prediction, grasp detection and planning,
      and self-supervised grasping, learning of depth and ego-motion).
      withdeep learning for perception will be positively evaluated

   Must have motivation to work with real robots

   Good knowledge of either Python or C++

   Knowledge of machine learning and/or statistics

   Experience with ROS or comparable middleware

Useful Skills & Experience

   Working knowledge of Tensorflow or similar frameworks

   Experience with numerical methods and data visualisation

   Contributions to open source and/or large-scale software projects

   Experience with low-level embedded software and firmware

   Experience with mechanical and electronic design

   Industry experience in Robotics

DeepMind welcomes applications from all sections of society.  We are
committed to equal employment opportunity regardless of race, religion or
belief, ethnic or national origin, disability, age, citizenship, marital,
domestic or civil partnership status, sexual orientation, gender identity
or any other basis as protected by applicable law.  If you have a
disability or additional need that requires accommodation, please do not
hesitate to let us know.
(Source: robotics-worldwide)


University of Sheffield, UK | Robotics Teaching Position

Add on 13 March, 2019

This is an exciting opportunity for an enthusiastic and capable person to
lead the development and implementation of new robotics practical sessions
for undergraduate teaching. The post is in the Department of Computer
Science at the University of Sheffield, a world top 100 University.

You will be responsible for the design and implementation of new robotics
practical curricula including the co-ordinated deployment of new hardware
and software systems. Working across robotics courses delivered across all
levels of undergraduate teaching, you will ensure that our laboratory
exercises present undergraduates with a consistent, supportive and
challenging learning environment.

A key aim of the laboratories is to teach students to program robots.
Besides knowledge of programming languages such as Python, C, and C++
experience with ROS, the Robot Operating System, would be useful. Some
experience of working with classroom robotic hardware. we will be using
Turtlebots and MiRo-E robots, would be beneficial. In addition,
knowledge/experience of current methods in robotics is an advantage.

More details can be found here ->
(Source: robotics-worldwide)


Lincoln, UK | Research Fellow Positions in robot learning and manipulation

Add on 22 March, 2019

Two Postdoctoral Research Fellows with research profiles in robotics, robot learning, teleoperation and shared control, robot perception, robot grasping, robot motion planning  to join our growing robotics research team at Lincoln Centre for Autonomous Systems Research (L-CAS), University of Lincoln.

Please apply here:
Application deadline: Friday 19 April 2019

Research Fellows for Robot Manipulation, Teleoperation and Machine Learning (2 Posts) (Fixed Term)

School of Computer Science
Location:  Lincoln
Salary:   From £33,199 per annum
This post is full time and fixed term until 31st March 2021.
Closing Date:   Friday 19 April 2019
Interview Date:   Friday 10 May 2019
Reference:  COS631

The successful candidates will work within the CHIST-ERA funded HEAP project (and related projects), which is a European consortium that investigates robotic sorting of unstructured heaps of unknown objects. The consortium consists of the University of Lincoln (leading), TU Wien (Markus Vinze), IDIAP in Switzerland (Jean-Marc Odobez), INRIA Nancy (Serena Ivaldi) and IIT in Italy (Lorenzo Natale). Our team will investigate novel robot manipulation and machine learning algorithms that can learn from human guidance and shared control. Robotic heap sorting is of interest for many applications, such as nuclear decommissioning, recycling and manufacturing. The work will also be highly aligned with the National Center for Nuclear Robotics (NCNR) where Lincoln is a core partner. In addition, there is an opportunity to work in a related EU project on robot perception and manipulation of objects for pharmaceutical warehouse applications. We offer excellent opportunities to develop a strong individual research portfolio while being engaged in impactful and exciting research solving real-world problems of great societal need. Moreover, you will have access to state-of-the-art research robot equipment consisting of cutting-edge robot arms.

We are looking to recruit postdoctoral researchers with relevant experience and/or a keen interest in a number of research areas, including (but not limited to):

- Robot Grasping and Manipulation
- Teleoperation and Shared Control
- Robot Vision and Perception
- Learning from Demonstrations
- Reinforcement Learning
- Learning from Human Feedback

You will be placed at the centre of this exciting project, collaborating closely with other researchers and universities, taking a leading role in the research, development, integration and orchestration of the overall system, with a focus on algorithm development and software development.

Applicants should have or expect to soon obtain, a PhD in a relevant area. You must have excellent mathematical and coding skills (C++/Python, ROS). This opportunity allows you to engage in international collaboration within an ambitious team, to work with state-of-the-art robotic hardware and software, and to benefit from excellent support to produce and disseminate original research contributions in the leading international conferences and journals.

You will also contribute to the University's ambition to achieve international recognition as a research intensive institution and will be expected to design, conduct and manage original research in the above subject areas as well contribute to the wider activities of the Lincoln Centre for Autonomous Systems (L-CAS). Evidence of authorship of research outputs of international standing is essential, as is the ability to work collaboratively as part of a team, including excellent written and spoken communication skills. Opportunities to mentor and co-supervise PhD students working in the project team will also be available to outstanding candidates.

Informal enquiries about the post can be made to Prof. Gerhard Neumann (email: gneumann at<mailto:gneumann at>), Dr. Ayse Kucukyilmaz (AKucukyilmaz at<mailto:AKucukyilmaz at>) and Dr. Nicola Bellotto (nbellotto at<mailto:nbellotto at>).

Please apply here:


Dr Ayse Kucukyilmaz
Senior Lecturer
Room INB3201
School of Computer Science
University of Lincoln
Lincoln, LN6 7TS
United Kingdom<>

The University of Lincoln, located in the heart of the city of Lincoln, has established an international reputation based on high student satisfaction, excellent graduate employment and world-class research.

The information in this e-mail and any attachments may be confidential. If you have received this email in error please notify the sender immediately and remove it from your system. Do not disclose the contents to another person or take copies.

Email is not secure and may contain viruses. The University of Lincoln makes every effort to ensure email is sent without viruses, but cannot guarantee this and recommends recipients take appropriate precautions.

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(Source: robotics-worldwide)


University of Lisbon, Portugal | Research Engineer grant at ISR/IST - H2020 project SciRoc / European Robotics League

Add on 7 January, 2019

Applications are invited for one Research Engineer grant at the Institute for Systems and Robotics (ISR), Instituto Superior Técnico (IST), University of Lisbon, Portugal. The selected candidates will work on the H2020 project SciRoc (, about scientific competitions concerning the Smart Cities general theme, and in particular in technical aspects linked to the European Robotics League (ERL - Consumer Service Robots Challenge (

This Research Engineer position targets candidates holding a Bachelor or Master degree (or equivalent). The selected candidates is expected to work on software development to automate benchmarking of robot tasks during ERL tournaments, and to assist in the technical aspects of organizing ERL tournaments along each Season. The latter will include traveling to some of the current network of ERL Consumer test beds, spread around Europe (, enabling contacting with leading Labs in European Robotics research.

The grant will be supervised by Prof. Pedro U. Lima and Dr. Meysam Basiri at IST and ISR.

The research will be conducted at the Intelligent Robots and Systems group ( the Institute for Systems and Robotics (ISR/IST). ISR/IST is the home to more than 40 PhDs and part of the LARSyS (Laboratory for Robotics and Engineering Systems - ISR/IST is engaged in a new generation of research challenges pushing the frontiers of knowledge, while offering world-class doctoral training with top universities (e.g. dual/joint degrees with MIT, EPFL, CMU) and fueling the collaboration with industry. ISR/IST develops state-of- the-art engineering solutions and projects with a clear societal impact, and has a long track record of participation in EU and other international projects. (

Requirements: the candidates are expected to have a BSc or MSc (with different stipend levels) or equivalent degree with background in information/computer engineering, preferably including basic concepts of Robotics and Artificial Intelligence. Good programming skills in Python and/or C++, and experience with ROS, are also expected. The working language is English, so good written and oral communication skills are also required.


Deadline: 18-Jan-2019

Starting date: March 2019

Place: ISR/IST - IST Alameda campus, Lisbon, Portugal

To request further information and to apply for these positions, send an email to pedro.lima at, including:
• a CV
• a statement of interest
• grade transcripts for relevant courses
• recommendation letters, and
• any other supporting documents you may consider helpful.

all in a single attached zip or pdf file.

(Source: robotics-worldwide


Add on 27 August, 2018

 Dear Robotics World Wide Community,

Woods Hole Oceanographic Institution is looking for several new software engineers to work on Autonomous Underwater Vehicles.
Tired of sitting at your desk and testing your code in simulation? Looking for a job where the “field” in field robotics truly deserves to be the first word in the phrase? Looking for a place where research and technology directly intersect operations and where you can make a difference in the way we understand the planet we live on while pursing your passion for robotics?

Join the Autonomous Underwater Vehicle Sentry team. Sentry is an operationally deployed AUV that spends 100 - 200 days per year at sea gathering data for ocean scientists and testing new technology. Sentry is under continuous upgrade including pushing the boundaries of AUV sampling, new command
and control systems, and new sensing systems. Members of the Sentry team all serve a dual role both as technology developers/engineers, but also as vehicle operators engaged in missions of scientific and societal importance. Recent missions have included oil spill response, locating black boxes, studying sub-sea volcanoes, and looking for mantle rocks to name just a few. In between deployments, you will be working in the Deep Submergence Lab at Woods Hole developing new control code, communications code, GUIS, data processing pipelines and other software for AUV operations. Past project sponsors include NSF, NOAA, Office of Naval Research, DARPA, NASA, foreign governments, philanthropic organizations, and corporations.

Software engineers within the group are expected to routinely deploy with the systems that they work on. This entails both testing deployments where new technology is refined and validated, but also operational deployments where the systems developed are utilized in direct support of a science mission. These deployments are worldwide, typically offshore and typically range between 7 and 60 days. Candidates are expected to be willing to deploy for up to 120 days per year especially early in their tenure at WHOI. Candidates must be comfortable balancing multiple projects and priorities with limited supervision.


Specific tasks include but are certainly not limited to:

Join the AUV Sentry team to develop software related to vehicle control, operations and data processing. This may include participation in at sea activities up to 120 day per year.

Develop soft real time control code, communications code, GUIs and other code for AUV operations.
Develop data post processing tools.
Develop software relevant to a variety of other funded research projects.
Support field operations and testing.

Apply at here


Minimum of a BS in an engineering discipline or computer science plus substantial coding experience in C++ beyond experience gained as an undergraduate.

Engineer II level*

Require either a MS in an engineering discipline or computer science or a BS degree and several years of relevant work experience.

Research Engineer level*

Must have either a PhD or a lesser degree and substantial relevant work experience.

*Position level will be determined by the selected candidate’s level of education & experience.

Prior experience:

Prior experience with C++ is highly desired. Baring experience with C++, candidates will need to demonstrate extensive experience with another object oriented language including inheritance.
Prior experience with ROS is highly desired.
Prior experience in medium to large scale projects consisting of tens to hundreds of thousands of lines of code and 5-10+ developers is highly desired.
Electrical/Electronic debug skills are highly desired.
Prior experience with integration of COTS peripherals into code is highly desired.
Prior experience with Linux in desktop, embedded and/or server applications is highly desired.
Prior experience with revision control systems is highly desired.
Prior experience with data processing in python or matlab is desired.
Prior experience with acoustic or other oceanographic data is desired.
Prior experience with GUI programming (ideally QT) is desired.


Must be a US citizen or permanent resident.
Must be able to obtain and maintain a TWIC card
While not initially required, individuals able to obtain SECRET clearance are desired.


Carl L. Kaiser, PhD.
Program Manager
Woods Hole Oceanographic Institution
m. +1.970.217.1328
p. +1.508.289.3269

(Source: robotics-worldwide)


University of Auckland | Research engineer: Robotics systems
New Zealand

Add on 21 August, 2018

The University of Auckland is New Zealand’s leading university, with a turnover of $1.1bn, including research revenue of over $200m generated across eight diverse faculties and two research institutes. The Faculty of Engineering offers a diverse and active community for research at postgraduate level and above, ranked 38th in the world in the QS World Ranking 2017.Our robotics laboratory is well known for robotics software development, including tools and systems. We now require a talented individual to work as an experienced research engineer focusing on software in the Centre for Automation and Robotic Engineering Science (CARES). CARES is undertaking a number of large funded projects including in healthcare robotics, social robotics, and automation technology in orchards.

As an experienced research engineer, you will work in a team in the Department of Electrical and Computer Engineering. Your role will be varied as you will be working with a multidisciplinary team and ensuring productivity and quality in software development, design, construction and maintenance of robotics hardware systems, along with and supporting the practical trials of robots in the field and with New Zealand and international research partners. A knowledge of ROS, concurrent programming, Python and C/C++ is highly desirable for this role.

You will bring to the role a passion for software in research and engineering, interpersonal skills that enable you to interact comfortably with a range of people, excellent programming skills, strong practical and problem solving ability, and an ability to contribute our software development life cycle.

Please see Job ID 20013 at here, entitled "Research engineer: Robotics systems, Faculty of Engineering"

Applications close on 16 September 2018.

This position is fixed term for one year.

Please follow the steps to upload your CV and a covering letter.

For further information please contact:
Bruce MacDonald (email

Best Regards,
(Source: robotics-worldwide)


Research Scientist
Pittsburgh, PA

Add on 13 August, 2018

A great opportunity for a Research Scientist in Pittsburgh, PA. Ideal candidate must have experience in at least one of these 3 areas in Robotics:

  1. Autonomy (Automation)
  2. Artificial Intelligence
  3. Vision Planning

Job Responsibilities
• Research complex perception, decision making, and control problems and develop solutions for customers across defense, medical, and commercial markets
• Lead the research and development of solutions in the areas of autonomous and vision-aided robotic systems
• Lead teams developing proposals for government and private customers
• Work closely with mechanical, electrical, and software engineering teams to develop systems from concept to production level
• Collaborate with industry partners and top tier academia research institutes
• Initiate and participate in technology conversations with distinguished scholars and industry leaders
• Develop and execute autonomous and vision-aided robotic systems project plans including technical approach and project management to achieve high customer satisfaction

Other Desired Skills and Experience
• Demonstrated ability to lead and manage research projects, conduct real-world experiments and demonstrations, and identify fruitful research directions, and lead proposal development efforts
• Experience in dealing with customers and conveying difficult concepts in an effective way to customers, colleagues, and collaborators.
• Excellent communication and teamwork skills
• Knowledge of fundamentals and state of the art in robotics
• Experience in applying machine learning to real-world robotic problems
• Knowledge of fundamentals in optimization, supervised and reinforcement learning
• Strong research and innovation skills and ability to solve difficult vision and learning problems
• Strong publication records in relevant fields (patents, top conferences and journals)
• Experience with ROS or other robotics platforms
• Excellent prototyping skill and expert programming skills in multiple programming languages
• Hands-on experience with multiple operating systems
• Demonstrated ability to work on cross-functional teams
• Flexibility and adaptability to work in a growing, dynamic team
• Technical knowledge is a definite plus; along with project management experience.


Strong Preference for PhD (or Master’s) in technical field
○ If no advanced degree, would need to be an extraordinary candidate 10+ years in Robotics.

Sponsorship not available

Great benefits package.




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