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  1. (UPDATED) Postdoctoral Research Associate – Computational Imaging for Marine Robotics
  2. Lead Research Engineer (Autonomous Driving)
  3. Senior Software Engineer (3D Vision)
  4. Computational Imaging Intern

Postdoctoral Research Associate – Computational Imaging for Marine Robotics
University of Sydney, Sydney, New South Wales, Australia
Australian Centre for Field Robotics / School of Aerospace, Mechanical and Mechatronic Engineering
Website: http://marine.acfr.usyd.edu.au/

Application: Please send a CV and research statement to Stefan Williams on stefanw@acfr.usyd.edu.au.

* Be part of the development of novel computational imaging systems for challenging underwater applications
* Full-time fixed term two years, remuneration package: $100K-$114K p.a. which includes leave loading and up to 17% super

The University of Sydney’s Australian Centre for Field Robotics (ACFR) is one of Australia’s leading robotics research groups and undertakes fundamental and applied research in the area of robotic systems and their application to a variety of scientific and industrial domains. Their marine systems group is focused on the development of novel imaging payloads, sensors and vehicle systems for marine survey, visualization, clustering and classification of extensive marine-based image archives, characterization of change in multi-year surveys and adaptive mission planning for multi-vehicle systems. They lead Australia’s Integrated Marine Observing System (IMOS) AUV facility and undertake marine surveys at sites around Australia and overseas.

The ACFR is seeking a Postdoctoral Researcher to undertake fundamental and applied research related to the development, design and deployment of novel computational imaging systems in challenging underwater applications. The project will establish a photometric underwater image formation model and leverage it in designing novel cameras tailored to specific tasks, exploiting the imaging model’s ability to rapidly explore camera design space. Targeted Autonomous Underwater Vehicle (AUV) and Remotely Operated Vehicle (ROV) deployments include environmental monitoring, archeological and geological imaging on sites in the Mediterranean, on the Great Barrier Reef, and around Tasmania.

To be successful you will have a PhD in a relevant field and extensive knowledge of optics and imaging systems. Practical knowledge of computational imaging and field experience deploying underwater or other advanced robotic systems are desirable. With support from the ACFRs technical and research staff, as well as specialist partner investigators at other institutions, you will be involved in the full project lifecycle, from design and construction of novel cameras to testing, evaluation and field deployment.

The position is full-time fixed term for two years, subject to the completion of a satisfactory probation period for new appointees. There is the possibility of extension of the position for a further six months, subject to funding and need.

Applications will be considered on an on-going basis until the position is filled.

To be considered for this position please contact the project CI as follows:
Contact: Prof. Stefan B. Williams
Email: stefanw@acfr.usyd.edu.au

Lead Research Engineer (Autonomous Driving)
HERE, Chicago, Illinois, USA
Website

HERE is searching for an experienced software engineer/researcher to work on our next  generation 3D mapping technology. This is an excellent opportunity to work with an energetic team developing creative solutions for analyzing complex 3D and image data. Candidates must have 5+ years of software development experience, and must have the proven ability to develop successful solutions for extracting features from complex 3D and imagery data sources. Experience with computer vision, machine learning, data mining, LIDAR data is preferred.

Job Responsibilities:

  • Design, development and optimization of algorithms to extract pre-defined features from complex data including 3D point clouds and imagery.
  • Software development and testing using C++ or Java and additional software packages and solutions as necessary, such as MATLAB, OpenCV, and PCL.
  • Quantitative analysis of accuracy and performance of all solutions.

Qualifications

  • Masters or Ph.D. degree in Computer Science or Computer Engineering preferred, Bachelor’s degree considered.
  • Software development experience in computer vision and image processing.
  • Strong software development skills, including C++ or Java.
  • Experience with existing signal processing toolkits, such as OpenCV and PCL.
  • Excellent communication skills
  • 5+ years of professional experience

Contact: Xin Chen
Email: xin.5.chen@here.com

Senior Software Engineer – 3D Vision
Zillow, Inc. Seattle, Washington, USA
Website
We’re looking for smart and passionate software engineers to join the computer vision and graphics team. The mission of the team is developing cutting-edge 3D technologies for the nation’s real estate, to provide consumers with the best visual experience in the world for house searching. This is a rare opportunity to play a key role in solving exciting problems, building Zillow’s next-generation data platform, and creating a suite of new products.

What you need:

  1. Graduate level degree in Computer Science or related fields, Ph.D. preferred.
  2. Research experience in Computer Vision, Graphics, Machine Learning, or related fields.
  3. Strong software development experience in Python and C++.
  4. Experience developing on a Linux or other Unix OS platform.
  5. A positive attitude and passion for learning and rapid iteration. (6) Ability to effectively articulate technical challenges and solutions.

Nice to have:

  1. Research experience in 3D reconstruction and computational photography.
  2. Experience in rendering large scale 3D models.
  3. Experience with distributed systems design and development, AWS preferred.

Contact: Qi Shan
Email: qis@zillow.com

Computational Imaging Intern
Honeywell Labs, Minneapolis, MN, USA

2016 Summer Internship – Computational Photography
Website to apply
Start of Internship: Exact Date TBD based on candidates availability (prefer June 2016)
Duration: 12 weeks
Location: Honeywell Labs in Minneapolis, Minnesota, USA

Honeywell Labs is seeking Ph.D. students for a summer internship position in computational photography in our research labs in Minneapolis. A successful applicant will contribute to an exciting new research project to detect image tampering. Applicants with previous experience in image-based forensics and high dynamic range imaging are strongly encouraged to apply.

Applicants should be currently enrolled in a Ph.D. program concentrating on computer vision and/or computational photography. Understanding of research literature and possession of strong programming skills in either Matlab or C++ are also desired. Successful applicants will work in a research environment, exploring novel approaches within the scope of the relevant project. The methods developed and experimental results obtained over the internship should contribute to project goals and support a research paper.

Minimum Qualifications

  • Ph.D. Student in Engineering, Applied Math, or Computer Science, (must be enrolled in a PhD program at a time of internship, no undergraduates)
  • Knowledge of Matlab and relevant toolboxes, and/or C++ with OpenCV.
  • Research interest in Computer Vision and/or Computational Photography.
  • Good written and oral communication skills.

Desired Qualifications

  • Publication history in Computer Vision and/or Computational Photography.
  • Experience with image-based forensics.

Please submit applications through the Honeywell careers website:
http://www.careersathoneywell.com/en/job/6423951/computational-imaging-phd-student-intern-golden-valley-mn/

Contact: Scott McCloskey
Email: scott.mccloskey@honeywell.com