The list of Job Offers is in reverse order. The newest are at the top.
| 2011-11-08 | Principal Scientist/Engineer-Perception | United Technologies Research Center-US | Principal Engineer/Scientist-Perception
Key skills include target detection, video for navigation, object tracking/recognition from image and range data, LIDAR, Range Sensing, Visual Navigation, Simultaneous Localization and Mapping (SLAM), Sensor Fusion,
United Technologies Corporation, a Fortune top 50 company is a dynamic global corporation operating at the leading edge of commercial and military aviation, aerospace systems, climate control, elevator design, security and fire protection as well as hydrogen fuel cell development.
The candidate is expected to interact with United Technologies Research Center (UTRC) Program Offices and United Technologies Corporation (UTC) business units to enhance existing programs, create opportunities, including the acquisition of contract awards, assist in setting strategic direction, and provide leadership to efforts involving autonomy and perception, especially in the areas of simultaneous localization and mapping, senor fusion, LIDAR and video for navigation. Additionally, this individual will be called upon to outline future business opportunities and to provide technical and business solutions in response to UTC business unit requirements.
The candidate must be able to work effectively in a multidisciplinary, multinational team environment focused on innovation and be able to partner with leading, worldwide institutions (university, government agencies, national labs, and professional organizations) to meet organizational objectives. The candidate will have exceptional communication skills, capable of interacting with UTRC senior management while also being able to mentor junior members of the technical staff. The candidate must be able to provide timely, accurate and detailed reports and presentations.
Additionally, the successful candidate will be expected to:
• Act as principal investigator, leading multidisciplinary teams focused on creative, integrated solutions for business and technical challenges in simultaneous localization and mapping, video for navigation, multimodal sensor data fusion, and decision making processes from the navigational information.
• Provide technical leadership and direction in the areas of detection, classification and tracking of multiple agents in an urban environment, as well as real-time autonomous trajectory re-planning. Additionally, there is the expectation to serve as a technical resource to others, including being a member of technical review boards.
• Identify and champion promising technical innovations for UTC Business units through knowledge of the state-of-the-art in fields related to perception for navigation, the establishment of partnerships with universities, national labs, and government / military institutions.
• Source and evaluate new technology for UTC; create and leverage internal and external partnerships, especially with government agencies; create opportunities through the acquisition of contract awards.
• Foster development of creativity and technical excellence in others.
• Author technical papers; be active in internal and external networks.
Preferred: Ph.D. in Computer Science, Electrical or Computer Engineering, Mathematics, Statistics, or a related field, plus 5-8 years of industrial or academic experience after completion of the Ph.D. in disciplines as outlined above. M.S. with 8-10 years industrial experience may be considered. - Expert knowledge and a minimum of 5-8 years of industrial or academic experience (post M.S.) in several of the following: (1) multi-sensor data fusion for context-specific decision support relevant to localization and mapping, (2) LIDAR and video for navigation, including the ability to represent surrounding views automatically and make decisions based on the scene information, (3) detection, classification and tracking of multiple agents in an urban environment, (4) real-time autonomous trajectory re-planning.
• Demonstrated ability to lead multi-disciplinary teams to successfully achieve desired technical outcomes within time and budget constraints.
• Demonstrated ability to write proposals and win external funding/contracts/grants.
• Record of technical contributions, including patents and publications in refereed technical journals.
• Proven success in innovative, strategic and technical thinking; willingness to champion and challenge new technical ideas; and experience in applying work to real-world applications.
• Excellent communication and leadership skills; innovative strategic and technical thinker; high energy; team player.
US Citizenship or Permanent Resident is required for this position
| Casmer Hill
Managing Partner
Hill Associates LLC (Search Firm)
Phone: 203-374-6838
Email: hillassociates@optonline.net |
| 2011-11-08 | Principal Scientist Computer Vision & Video Surveillance | United Technologies Research Center-US | Principal Scientist-Computer Vision & Video Surveillance
United Technologies Corporation, a Fortune top 50 company is a dynamic global corporation operating at the leading edge of commercial and military aviation, aerospace systems, climate control, elevator design, security and fire protection as well as hydrogen fuel cell development.
The candidate is expected to interact with United Technologies Corporation (UTC) business units to provide technical expertise in existing programs, create opportunities, including the acquisition of contract awards, assist in setting strategic technical agenda and provide leadership to efforts involving computer vision and video surveillance. Additionally, this individual will be called upon to outline future business opportunities and to provide technological and business solutions in response to UTC business unit requirements.
Successful candidates should demonstrate outstanding track records in 3 or more of the following fields:
1. Object detection and tracking
2. Object recognition
3. Video Analytics/AI
4. Activity and event recognition
5. Content-based indexing and retrieval
6. Computational photography.
The candidate must be able to work effectively in a multidisciplinary, multinational team environment focused on innovation and be able to partner with leading, worldwide institutions (university, government agencies, national labs, and professional organizations) to meet organizational objectives. The candidate will have exceptional communication skills, capable of interacting with UTRC senior management while also being able to mentor junior members of the technical staff.
Additionally, the successful candidate will be expected to:
1. Provide technical leadership and direction and serve as a technical resource to others, including being a member of technical review boards.
2. Act as principal investigator, leading multidisciplinary teams developing integrated solutions for UTC business units and focusing on creative solutions to technical challenges in computer
vision and video surveillance.
3. Identify and champion promising technical innovations for UTC business units through the establishment of partnerships with university, national labs and other world-class institutions.
4. Create opportunities through the acquisition of contract awards, source and evaluate new technology for UTC; create and leverage internal and external partnerships
5. Foster development of creativity and technical excellence in others.
6. Author technical papers; be active in relevant technical communities.
Education/Experience Required:
Preferred: Ph.D. in Computer Science, Electrical or Computer Engineering, Mathematics, Statistics, or a related field, plus 10 years of industrial or academic experience after completion of the Ph.D. in disciplines as outlined above.
- Expert knowledge and a minimum of 10 years of industrial or academic experience (post M.S.) in at least three of the following fields: object detection and tracking, object recognition,
activity and event recognition, content-based indexing and retrieval, computational photography.
- Demonstrated ability to lead multi-disciplinary teams to successfully achieve desired technical outcomes within time and budget constraints.
- Demonstrated ability to write proposals and win external funding/contracts/grants.
- Record of technical contributions, including patents and publications in refereed technical journals and major conferences in computer vision
- Proven success in innovative strategic and technical thinking, willingness to champion and challenge new technical ideas, and experience in applying work to real-world applications.
- Excellent communication and leadership skills; innovative strategic and technical thinker; high energy; team player.
- Demonstrated team leadership in multi-disciplinary and multi-cultural industrial applications is a plus.
Proof of American Citizenship or Permanent US Residence is required for this position
| Casmer Hill
Managing Partner
Hill Associates LLC (Search Firm)
Phone: 203-374-6838
Email: hillassociates@optonline.net |
| 2011-11-07 | Postdoctoral Position | George Mason University | The Computer Vision and Robotics Laboratory at George Mason University
invites applications for a Postdoctoral position available immediately for one
year with possibility of renewal. Suitable candidates with PhD in
Computer Science or Electrical Engineering will be considered.
The focus of the project will be on development of novel techniques for
semantic segmentation and 3D reconstruction from video and range data.
The ideal candidate would have extensive programming experience in
MATLAB and C/C++, strong publication record in computer vision, robot perception
and computer graphics and good presentation and writing skills.
| To apply send the applications via e-mail to kosecka@cs.gmu.edu. The
application should include CV, names and contacts of at least 2 references
and link to the webpage with publications. Foreign candidates will be issued
a visa.
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Jana Kosecka, Associate Professor Department of Computer Science
kosecka@cs.gmu.edu Engineering Building, #4444
ph.(703) 993-1876 fax (703) 993-1710 George Mason University, MS 4A5
http://www.cs.gmu.edu/~kosecka/ 4400 University Drive, Fairfax, VA 22030
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George Mason University, located in the heart of Northern Virginia's technology corridor
near Washington, D.C., is an innovative, entrepreneurial institution with national distinction
in a range of academic fields. With strong undergraduate and graduate degree programs in engineering, information technology, biotechnology and health care, Mason prepares its alumni to succeed in the workforce and meet the needs of the region and the world. |
| 2011-11-07 | Research Assistants in computer vision | Queen´s University Belfast, United Kingdom | https://hrwebapp.qub.ac.uk/tlive_webrecruitment/wrd/run/ETREC107GF.open?VACANCY_ID=0350651USk&WVID=6273090Lgx&LANG=USA
https://hrwebapp.qub.ac.uk/tlive_webrecruitment/wrd/run/ETREC107GF.open?VACANCY_ID=9235351USk&WVID=6273090Lgx&LANG=USA
Two research posts are expected to be filled in event search/recognition and sensor network. Deadline of applications: 18 November 2011. Both positions will last for 30 months. If interested, please see the links shown above for more details. | Dr. Paul Miller - p.miller at ecit.qub.ac.uk. |
| 2011-11-07 | Post-doctoral research position | URJC Madrid | Modern computer vision hardware and methods offer exciting possibilities to advance computer animation technology. This post-doctoral research position is concerned with the design of methods and algorithms for the acquisition of dynamic real-world phenomena, in connection with computer animation techniques.
Requirements:
- PhD in computer vision (CS or EE).
- Experience on acquisition, reconstruction, and multi-camera systems.
- Strong C++ programming skills.
Job features:
- ~2 duration.
- Parallel participation in 2-3 research projects, with the possibility to shape up new projects.
- Funding for hardware acquisition. | Miguel A. Otaduy
miguel.otaduy@urjc.es
http://www.gmrv.es/~motaduy
(Open to meetings/interviews during ICCV) |
| 2011-11-07 | Post-Doc in Dynamic 3D Scene analysis | Institute of Computer Science, Christian-Albrechts-University of Kiel, Germany | Our group has a long tradition in 3D scene modeling and image-based rendering. Currently we are bulding a 3D camera system for aqcuiring, processing and display of large-scale time-varying dynamic lightfields. Key issues will be depth-based image interpolation in space-time images, tracking of deformable objects in range- and videostreams, and view-generation for full-parallax autostereoscopic displays with very many (>1000) simultaneous views.
We seek a post-doctoral researcher with expertise in multiview video and range data analysis, image-based rendering, and realtime video processing. We offer a full position as post-doctoral researcher (equivalent to the German TV-L 13) for 2 years. The offer is effective immediately. | Contact Reinhard Koch by email: rk@informatik.uni-kiel.de.
MEET ME AT ICCV: I, Reinhard Koch, will be available for informal interviews during ICCV in Barcelona until Saturday evening. Make contact by email or talk to me directly. |
| 2011-11-07 | Five openings for either PhD students or post-docs (E 13 TV-G-U) | Goethe-University Frankfurt am Main, The Bernstein Focus: Neurotechnology Frankfurt | The positions are limited to 2 years (post-doc) or 3 years (PhD students), with an option for extension for a maximum of 4 years in total. Depending on the nature of the applicant’s qualification the positions can be offered on a full-time or part-time (75% or 50%) basis.
The openings are for systems research to develop a next generation bio-inspired cognitive vision system as part of the Bernstein Focus Neurotechnology (BFNT) Frankfurt. The 'Frankfurt Vision Initiative' is part of the Bernstein Network of Computational Neuroscience funded by the German Federal Ministry of Education and Research (BMBF). The project team is an interdisciplinary team made up of neuroscientists, physicists, and computer scientists.
We are looking for post-graduate students who have graduated in computer science, electrical engineering and/or related disciplines with strong foundations in applied mathematics, physics, statistics, computer science, electrical engineering or related disciplines.
For Postdoc positions preference will be given to candidates with a doctoral degree in computational neuroscience, computer vision, machine learning and/or vision based robotics. The candidates must also have sufficient breadth to work in an interdisciplinary team. Experience in software engineering of large systems will be considered a plus. In general, candidates are required to have a strong analytical background and solid programming skills. Good communication skills in English (oral and written) are essential.
The applicants will have the opportunity to interact with the following team of professors and depending on the specific sub-area of their interest they will have one of the following professors as their primary academic supervisor: Professor Roland Memisevic (Machine Learning), Professor Rudolf Mester (Computer Vision), Professor Visvanathan Ramesh (Systems engineering for Vision and Cognition), Professor Jochen Triesch (Computational Neuroscience & Cognitive Science) and Professor Christoph von der Malsburg (Neuroinspired Vision Systems).
| Please respond with a document (in pdf format) with statement of interest (letter of intent), statement of research interests, CV and list of references to: schmitz@fias.uni-frankfurt.de . Applications should be received by November 30, 2011. Applications will continue to be considered until March 2012 based on availability.
Additionally, those attending ICCV 2011 can email Prof. Mester at mester@vsi.cs.uni-frankfurt.de and Prof. Memisevic at ro@cs.uni-frankfurt.de, in order to meet them and to speak to them directly.
|
| 2011-11-06 | Computer Vision Researcher and/or Engineer | Realeyes | The Realeyes R&D team is always on the look for bright and motivated researchers and engineers to develop groundbreaking solutions for gaze, emotions and gesture tracking and automated object recognition systems.
If you are interested in researching and architecting leading edge computer vision techniques for gaze estimation and facial expressions analysis then join Realeyes to help develop groundbreaking user testing tools and interaction technologies for some of the best companies in the world. Our international team has delivered worldwide biometric studies to the well known brands like Sony, Nokia, IKEA, The New York Times, NBC and many more. The latest details of our activities have been summarised by The Economist in: http://www.economist.com/node/21533362.
The following job positions are currently being advertised:
* R&D Team Leader - http://www.realeyesit.com/jobs/current-vacancies/principle-research-scientist--rd-team-leader.aspx
* C++ Computer Vision developer - http://www.realeyesit.com/jobs/current-vacancies/cplusplus-computer-vision-developer.aspx | Please get in touch with Elnar Hajiyev (elnar@realeyesit.com) during ICCV to arrange a meeting and discuss possible options. |
| 2011-11-06 | Associate Professor in Computer Science | KTH Stockholm | For full details go to: http://www.kth.se/om/work-at-kth/vacancies/associate-professor-in-computer-science-vl-2011-0067-1.197411?l=en_UK
Subject description
The subject consists of algorithm design and the construction of computer systems that can learn from experience and generalize from data exemplars. Mathematical and statistical modelling is used both for supervised and unsupervised learning from large and complex data sets such as video and audio streams or other kinds of sensor data.
Assessment criteria
Specific consideration in the selection criteria will be based on the proven scientific quality documented through presentations and publications in the top conferences and journals in the area, ability and/or potential of the candidate to obtain external research funding and to direct education and research activities within the school. Candidates with research competence in the area of machine learning with applications in computer vision, robotics, speech understanding, neuroinformatics, computational and systems biology will be given high priority. Of specific importance are also candidate's current research interests and the ability to initiate and pursue high quality research. Of interest are also candidate's documented pedagogical skills, ability to pursue education on the basic and advanced university level as well as interest in further developing education and renewal in general.
Employment
Form of employment: Permanent position
Start time: According to agreement
Application procedure
Latest day of application: 11-30-2011
Number of reference: VL-2011-0067 | Enquires about the position should be directed to:
Professor Stefan Carlsson
Phone: +46 8 790 8432
stefanc@csc.kth.se |
| 2011-11-04 | Phd Studentships | Video/Image Modeling and Synthesis Lab, University of Delaware | Video/Image Modeling and Synthesis Lab at the Department of Computer
Science, University of Delaware is looking to fill two RA positions,
starting Fall 2012. This represents an excellent opportunity
for candidates interested in research themes along the lines of 3D
reconstruction from multiple views and motion analysis in modalities
such as video and radar imagery. The positions are funded by NSF, and
Army Labs.
Students holding Masters in CS/ECE with experience in the field of
image analysis and/or computer vision can apply. Candidate should be
highly motivated with proven record and competence in the area (attach
copies of relevant project reports and publications). Programming
proficiency in MATLAB and C,C++ desired. They should be able to
work independently, and interact with researchers from a variety of
disciplines. The candidate should be eager to learn a range of new
skills and remain abreast of current developments in the field of
computer vision.
Interested candidates should email Prof. Chandra Kambhamettu at
chandrak@udel.edu. More details about research conducted at VIMS can
be found at http://vims.cis.udel.edu. Those attending ICCV 2011 can
email and meet Prof. Chandra Kambhamettu and speak to him directly. | Prof. Chandra Kambhamettu
chandrak@udel.edu
http://vims.cis.udel.edu |
| 2011-11-04 | PhD studentship | Ecole Centrale Paris | The Center for Visual Computing at the Ecole Centrale Paris invites applications for PhD studies at the intersection of machine learning, computer vision, and medical imaging. Located in the capital region with excellent transport connections to the city center, Ecole Centrale Paris is a leading engineering grande ecole. http://en.wikipedia.org/wiki/École_centrale_Paris
The newly established Center for Visual Computing is a joint initiative of École Centrale Paris and École des Ponts, ParisTech counting approx 10 faculty members working in the areas of computer vision, medical imaging and machine learning.
Applicants should have completed, or be near completing a masters in mathematics, computer science, or a closely related subject, and should have excellent written and spoken English. Students without a masters degree have the opportunity to enrole in the masters program at Ecole Centrale prior to beginning their doctoral studies.
Interested applicants are requested to send their CV, a short motivation letter, names of two references, and a link to a masters thesis and any relevant publications to: matthew.blaschko@ecp.fr
Additionally, those attending ICCV can find Matthew Blaschko and speak to him directly. | Matthew Blaschko
Assistant Professor
Center for Visual Computing
Department of Applied Mathematics
École Centrale Paris
Grande Voie des Vignes
92295 Châtenay-Malabry
France
INRIA Saclay Ile-de-France
Parc Orsay Université
4 rue J. Monod
91893 Orsay
France
http://www.mas.ecp.fr/vision/Personnel/blaschko/
matthew.blaschko@ecp.fr |
| 2011-11-04 | Computer Vision Researcher | 2d3 (US or UK) | 2d3 is seeking to fill computer vision researcher positions in both its Oxford, UK, office and Southern California, US, office. The UK position gives preference to UK nationals. The US position requires US citizenship.
Please contact Ben Ochoa during ICCV. He will arrange meetings with excellent candidates during the conference. Following is the full job description.
The Company
Since 1999, 2d3 has supplied a range of computer vision products, all based on ‘3D from the moving image’, mainly to the film and television production industries. The company’s primary product, Boujou, the world’s leading automatic camera tracker, is now used by most film and video post-production companies to generate visual effects requiring accurate registration of real and virtual images.
In 2006, 2d3 expanded its efforts into the aerial imaging market. The group has developed a set of technologies covering a wide range of real-time and off-line computer vision capabilities for processing of aerial motion imagery.
2d3 is part of OMG plc, a company with a 25 year history of developing, manufacturing, and selling products for 3-dimensional tracking in medical, industrial, government, and defense markets. OMG exports over 80% of its sales with customers in over 50 countries. Since 2001, OMG has been listed on the London Stock Exchange.
The Job
The new appointee will be a computer vision scientist with relevant research experience, gained in academic, public sector, or commercial environments. He or she will join a team with similar experience and act as technical lead on one or more projects covering augmented reality, real time structure from motion, automatic object recognition, vision hybrid navigation and targeting, tracking and collision avoidance, and terrain and urban modelling.
2d3 has close working relationships and a number of active collaborative projects with leading academic computer vision groups in UK, Europe, and US. Members of the company regularly attend and present at the major international computer vision conferences. Within the constraints of commercial and national security, 2d3 encourages the publication of peer-reviewed or invited papers and presentations.
2d3 uses Matlab for prototyping but the majority of 2d3’s extensive internal computer vision libraries are implemented in speed-optimised, multi-threaded C++. Windows or Linux environments are used according to project and customer requirements.
The key areas of R&D for 2d3 include, but are not limited to:
- Image-based tracking (stabilization, SFM, SLAM, multi-sensor systems, etc)
- Object detection, recognition, & classification (with/without tracking, single/multi-view)
- Automatic mosaicing (using a range of matching methods)
- Photometric optimisation & matching
- Camera calibration & image rectification
- Novel view synthesis
- Super-resolution & compression artifact reduction
- Hyperspectral image fusion
- Terrain & townscape 3D modeling
In addition, if you have the following key skills, they will set you apart from other candidates:
- C and C++
- OpenGL
- XML
- Boost
- IPP
In addition to your skills, you will also be required to satisfy the following minimum requirements:
- Fluency in English, both written and spoken
- Doctoral degree - Computer Science or Electrical Engineering with direct experience in applied Computer Vision techniques
- Must have been published in a generally accepted academic trade publication for novel application of vision science theory to a real world problem.
- Excellent analytic problem solving and critical thinking skills
| Ben Ochoa
ben.ochoa@2d3.com
|
| 2011-11-04 | Postdoctoral Researcher- Ultrasound image Analysis (Up to 18 months) | Centre for Image Processing & Analysis, Dublin City University, Ireland | CIPA is committed to research excellence. Our posts offer an exciting opportunity for
successful candidates to tackle fundamental research problems within a stimulating multidisciplinary research environment with state of the art facilities and strong links to the
national and international research community. The successful candidates will join an
active and expanding computer vision and biomedical imaging systems research
programme. Further details on the CIPA and its activities can be found on its web-site
www.cipa.dcu.ie.
CIPA has recently been awarded an Enterprise Ireland Innovation Partnership grant to
focus on the automatic computer aided detection of reproductive cycle and pregnancy of
bovines from ultrasound images. The team is made up of researchers from Dublin City
University (CIPA) and Reprodoc Ltd (who specialize in bovine fertility management). We
are currently hiring two postdoctoral researchers in CIPA (Dublin) to support this work.
This research aims to develop a computer aided detection system for automatic
identification of reproductive cycle and pregnancy of bovines from ultrasound images
using computer vision techniques. The automatic Computer Aided Detection (CAD)
system can be employed as a first reader for herd management (mainly focused on bovine
reproductive cycle and its status) and only use human experts in the minority of cases
where abnormalities have been detected by the software. The applied research outputs
significantly advance the state of the art and address a real market need.
This research stream will involve the automatic identification, analysis and classification of key bovine reproductive (anatomical) features using ultrasound imaging. The Centre for Image Processing & Analysis (CIPA) at Dublin City University has already developed global 2D and 3D shape extraction and texture analysis techniques for use with ultrasound imaging, and this project aims to build on this work.
Reporting to his/her Principal Investigator the Postdoctoral Researcher will:
• Conduct a specified programme of research under the supervision and direction of the
Principal Investigator. This will involve image processing, algorithm development, coding,
database development, testing and interface design in support of CIPA’s contribution to the
innovation partnership.
• Engage in the dissemination of the results of the research in which he/she is engaged with
the support of and under the supervision of the Principal Investigator
• Engage in appropriate training and development opportunities as required by the Principal
Investigator, the School or Research Centre, or the University.
• Liaise with both internal and external stakeholders including industry and academic
partners/collaborators
• Work alongside their team members to ensure that all deadlines and deliverables are met.
Minimum Criteria:
Applicants should have a PhD in Computer Vision (or a related Computer Science, Engineering or Analytical area) plus significant post doctoral and/or industrial research experience. A record of international collaboration, funding acquisition, research leadership and research management would be an advantage. Experience with ultrasound image analysis / texture analysis and/or geometric shape analysis would also be considered an advantage. Postdoctoral candidates should demonstrate the capacity to be productive researchers. As part of the selection process candidates’ publication records will be carefully considered. A selfstarting attitude, good presentation skills, teamwork and an eagerness to promote
| Informal enquiries to:
Laura Robertson, Administrator, CIPA, DCU, Dublin 9
E-mail: laura.robertson@dcu.ie Phone: +353 (0)1 700 6214
or
Prof. Paul F Whelan
E-mail: paul.whelan@dcu.ie |
| 2011-11-04 | Research Associate Professor, Research Lecturer or Post-doctoral Fellow | Kagoshima National University, Japan | We are a research group of Japanese national universities and institutes.
We are seeking several researchers to join our project "Dense and
high-speed 3D scanning system for both inside and outside of human body"
supported by the Funding Program for Next Generation World-Leading
Researchers(NEXT Program of Cabinet Office, Government Of Japan) in
Japan. The details are as follows.
Offered positions:
(1)Computer vision and graphics Lab., Department of Information Science
and Biomedical Engineering, Kagoshima University, Kagoshima, Japan,
http://www.ibe.kagoshima-u.ac.jp/~cgv/
(2)Service Robotics Research Group, Intelligent Systems Institute, Advanced
Industrial Science and Technology(AIST), Tsukuba, Japan
http://unit.aist.go.jp/is/index_e.html
(3)Image Media Lab., Department of Intelligent Systems, Faculty of
Information Sciences and Graduate School of Information Sciences,
Hiroshima City University, Hiroshima, Japan.
http://www.hiroshima-cu.ac.jp/C/org/info/index.html
*The number of position is one or two for each of the above
organizations.
Research field:
Computer Vision, 3D shape measurement, Computer Graphics,
Processing of 3D Geometrical Data and Medial application
Research themes:
Research on new dynamic 3D measurement technique
Research on modeling and analysis of dynamic 3D object
Research on Dynamic 3D data transmission and real-time rendering
Development of virtual reality systems
Qualifications
- A Ph.D. in Computer Science, Electrical Engineering or related areas.
- Excellent programming skills (C/C++, Matlab, etc) are required.
- Good oral and written English communication | Further details can be asked to Hiroshi Kawasaki, Amael Delaunoy,
Ryusuke Sagawa or Ryo Furukawa.
E-mail: apply[at]ibe.kagoshima-u.ac.jp |
| 2011-11-02 | post-doctoral researcher | Imaging and Vision LAB, University of Milano Bicocca | The scientific disciplines of imaging and vision are in constant evolution, incorporating new technologies and engaging in new fields of application. Driven by these challenges, the laboratory of Imaging and Vision was created at the beginning of 2003 within the Department of Information Science, Systems Theory, and Communication (DISCo) of the University of Milan at Bicocca. The Laboratory research activities are supported by several industrial and public organizations.
We are now looking for a postdoctoral candidate with experience in areas related to image and video processing, machine learning, and computer vision. The position is offered for one-year with a possible extension for another year. The position is open now (applications will be accepted until the positions are filled).
Required skills:
PhD or at least three years experience related to image/video processing and/or computer vision
C/C++, MATLAB programming skills;
Mathematical background
Image/video processing background;
Computer vision / Machine learning knowledge. |
www.ivl.disco.unimib.it
Further details can be asked to Raimondo Schettini, Schettini@disco.unimib.it |
| 2011-10-31 | Computer Vision Researcher | Seeing Machines | Seeing Machines (www.seeingmachines.com) is seeking an outstanding researcher in the field of image processing to work in our core R&D team. This role is ideal for people who have developed strong theoretical and technical skills through applied PhD or post-doctoral work, and who want to apply those skills to real-world products in the areas of human-machine interfaces, automotive systems, computer entertainment, medical devices, sports and robotics. The position is open to international applicants. It is expected that the position will be based in Canberra, Australia.
Required skills:
. PhD or equivalent work experience in computer vision
. Strong C++ programming skills
. Good oral and written English communication
| Seeing Machines is a dynamic young company with a focus on vision-based human-machine interfaces. Our products allow real-time non-intrusive face and eye gaze tracking. We are looking to hire people as the company grows to help us take advantage of the enormous commercial opportunities for our computer vision products. We are looking for motivated individuals to join a dynamic and friendly environment working with the latest technology. Please send expressions of interest to sebastien.rougeaux@seeingmachines.com.
|
| 2011-10-31 | Computer Vision Engineer | Nearbuy Systems | Nearbuy Systems is a growing, early stage company looking to hire a super-star computer vision engineer. The successful candidate will be working on a project involving the real-time analysis of video streams for tracking and localization. Your employee number would be < 10 and would have an amazing opportunity to shape our product and technical direction.
Required Skills:
- Image/video processing background;
- Machine learning knowledge.
Desirable Skills:
- Pedestrian detection and tracking;
- Projective and multiple view geometry;
- Foreground segmentation, Meanshift/Camshift;
- Camera calibration;
- Probabilistic Inference
- CUDA experience;
- C++, C, Matlab
We're located in Menlo Park, just off 101. If you think this is the opportunity for you please drop me (Mark) a line at jobs@nearbuysystems.com.
| Nearbuy Systems, Inc.
3565 Haven Ave. Menlo Park, CA 94025
www.nearbuysystems.com
jobs@nearbuysystems.com |
| 2011-10-31 | Computer Vision Research | MERL: Mitsubishi Electric Research Lab | MERL is seeking qualified applicants for a Member Research Staff in the Imaging Group. This group pursues cutting-edge research in information capture / extraction / analysis and display including computer vision, computational photography, image processing, machine learning, and 3D graphics & modeling. The group contributes to and maintains strong connections in these research communities, and also applies its specialized knowledge to challenging industrial problems in robotics, medicine, automobiles, safety and security, retail systems, large and small displays, and building systems.
The successful candidate will be expected to lead and perform original research within the above areas, and to extend MERL’s domain of expertise. Further qualifications are detailed below.
Responsibilities
• Identify new problems and solutions that are broadly useful. Conduct research to evaluate these solutions and publish results in selective peer-reviewed conferences and journals. Conceive futuristic business possibilities and the technology and methods to address them.
• Learn about existing Mitsubishi Electric businesses and consider their needs when defining research initiatives. Collaborate with Mitsubishi Electric labs in Japan to transfer information, prototypes, and code.
• Assist in preparing your patent applications and research proposals.
Qualifications
• A Ph.D. in Computer Science, Electrical Engineering or related areas.
• Documented track record of creative innovation and of developing, conducting, and leading successful research projects.
• Excellent programming skills (C/C++, Matlab, etc) are required.
• Applicant must be able to handle multiple assignments simultaneously and balance workload among different projects. Good presentation and written skills are expected.
| MERL is an Equal Opportunity Employer. PRINCIPALS ONLY apply online to thornton-at-merl.com (No phone calls please.)
MERL has several members attending ICCV who will be very happy to talk to you: Jay Thornton (thornton-at-merl.com), Srikumar Ramalingam (Ramalingam-at-@merl.com), Mike Jones (mjones-at-merl.com), Tim Marks (tmarks-at-merl.com).
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| 2011-10-28 | PhD Studentship - Real-time 3D Computer Vision | Cranfield University, UK | Applications are invited for a fully funded PhD student to work in the School of Engineering on the topic of developing real-time 3D computer vision techniques within the area of autonomous robotic guidance and automotive driver assistance systems in collaboration with TRW Conekt.
This PhD project builds upon the ongoing theme of work within the Cranfield research team on intelligent vehicle sensing such autonomous route proving, road sign detection, headlight tracking, GPS navigation augmentation and automotive stereo vision. This project specifically looks to leverage recent advances in real-time video mosaicking and automotive stereo vision for application to real-time on-vehicle 3D vision for autonomous navigation and scene understanding. The project will take the form of an industrial CASE studentship with the student primarily based at Cranfield University whilst working at TRW Conekt premises for placement periods throughout the PhD - including an initial 6-month placement at their industrial research base in Solihull. This represents a very good opportunity for a candidate interested in an applied research career, comprising both academic and industrial placement elements within the 3.5 year study programme with an initial pre-project 6-month industrial placemen | Applicants can make initial informal enquiries with Dr Toby Breckon.
http://www.cranfield.ac.uk/~toby.breckon/
All details on how to apply:
ttp://www.cranfield.ac.uk/soe/postgraduatestudy/phd/page55062.html
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| 2011-10-27 | research intern -- computer vision | Intuitive Surgical Inc. | Intuitive Surgical Research Intern
Do you want to work on a computer vision project that potentially improves the lives of millions?
Intuitive Surgical has an immediate opening for internship in the area of computer vision. We are seeking a talented individual to participate cutting edge research and development in using computer vision to assist surgical navigation. Expected contributions include concept formation, fast algorithm prototyping /evaluation iterations, solution ranking, implementation of product quality software modules and documentation.
Requirements:
• A passion for working with a high energy team to develop technologies aimed at improving the lives of millions of people.
• Advanced MS or PhD students in Computer Science or Electrical Engineering preferred. Other exceptional candidates will also be considered.
• Solid knowledge in model-based computer vision (3d rendering, image matching, camera pose estimation), visual object tracking, image search, sensor fusion, volumetric medical imaging and probabilistic analysis. Hands-on experience in one or more of these areas is strongly preferred.
• Strong programming skill with C/C++ and Matlab and familiarity with OpenCV and OpenGL.
• Good knowledge of computer-vision related hardware (camera hardware, graphics accelerators, drivers, and etc).
• Ability to perform fast prototyping and testing iterations and thinking outside the box to solve practical problems.
Start time: immediately; both full-time and part-time are considered.
Period: typically 3 months of full time; extension will be considered.
Please send a resume and a cover letter to:
Tao Zhao
Intuitive Surgical Inc.
1266 Kifer Road
Sunnyvale, CA 94086
Tao.Zhao@intusurg.com
Intuitive Surgical (www.intuitivesurgical.com), located in Sunnyvale, CA, is engaged in designing, manufacturing and marketing robotic surgical systems that are revolutionizing surgery. Its da Vinci Surgical system includes six manipulator arms with a total of 41 degrees of freedom, along with a stereo endoscope and 3D video display. With over 2000 installations worldwide, surgeons perform over two hundred thousand minimally-invasive surgeries per year. The da Vinci system represents an outstanding platform for the development and application of new technologies for surgery.
| Tao Zhao
Intuitive Surgical Inc.
1266 Kifer Road
Sunnyvale, CA 94086
Tao.Zhao@intusurg.com |
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