Career Center

The Career Center lists imaging-related employment opportunities. Any IS&T Member may post an open position; the service is complementary. Open positions are listed for 3 months. Non-members may direct postings to dsmith@imaging.org.

PhD Fellowships in Colour and Appearance Measurement


The Faculty of Information Technology and Electrical Engineering (http://www.ntnu.edu/ie) at the Norwegian University of Science and Technology (NTNU) has 2 vacancies for positions as PhD fellow within the field of Colour and Appearance Measurement, at the Department of Computer Science (IDI) (http://www.ntnu.edu/idi). 

Both positions are hosted at The Norwegian Colour and Visual Computing Laboratory (Colourlab, http://www.colourlab.no) in Gjøvik, Norway, and funded by the Research Council of Norway in the FRINATEK Toppforsk project Measuring and Understanding Visual Appearance (MUVApp, http://www.colourlab.no/muvapp). The MUVApp project, led by Professor Jon Y. Hardeberg, aims at developing new knowledge on how humans perceive the visual appearance of materials, objects, and scenes, and to develop new methodologies for measuring and communicating visual appearance and appearance-related material and object properties. 

PhD Fellowship 1: Measurement and modelling of appearance
The visual appearance of materials is a complex phenomenon, which incorporates a number of different attributes such as perceived colour, gloss, texture and sub-surface effects such as scattering. Recent work in this field has enabled a move from the study of individual attributes in isolation to consideration of total appearance. The research challenge is to develop integrated methods of measuring appearance, together with suitable models, that can accurately predict the visual appearance of a material surface under different viewing conditions. The PhD fellow will work with state of the art instruments, develop and extend appearance models from physical measurements, and where necessary develop new measurement methods. The fellow will carry out her/his research under supervision from Professor Phil Green, Associate Professor Peter Nussbaum, and in collaboration with Dr. Gaël Obein from CNAM, France.

PhD Fellowship 2: Image statistics for visual material appearance
The visual appearance of materials is a complex phenomenon, which incorporates a number of different attributes such as perceived colour, gloss, texture and sub-surface effects such as scattering. The PhD fellow will work on image statistics for material appearance, with the goal of describing material appearance through image statistics, and validating the results through psychometric scaling experiments and material samples. The fellow will carry out her/his research under supervision from Professor Jon Yngve Hardeberg, Associate Professor Marius Pedersen, and in collaboration with Professor Karl Gegenfurtner from Justus-Liebig Universität Giessen, Germany. 

The positions are for three years full time or potentially extended to four years with teaching duties, and remunerated according to Norwegian regulations (in the range of gross 50-55 000 USD per year). For more information about the positions, and to apply (before April 30, 2017), refer to https://www.jobbnorge.no/en/available-jobs/job/137155/

Posted 4/10//17

HP Labs Object Appearance Research Intern

Job ID:3005038
Location: California, Palo Alto

Responsibilities: 
This internship is for University students enrolled in a PhD advanced degree program who are working in a technical role at hp during their summer breaks.

HP-Labs 3D Printing research group is looking for an ambitious and self-motivated summer intern to join our efforts on appearance characterization of 3D printed objects. In specific, this research intern will work with senior researchers on the definition a color uniformity metric of 3D objects. The perceived spatial color non-uniformity can be caused by the manufacturing or finishing process itself, it can inadvertently be introduced by a surface texture and it will be influenced by surface roughness. We will be using state-of the art image-based appearance measurement devices.

Education and Experience Required: 
Bachelors degree Working towards completion of PhD program.

The ideal candidate must be working towards a Ph.D. degree in either color science, image science, optics or electrical engineering. She/he must possess expert background in color science. Fundamental skills we are looking for include multi-image processing, color appearance metrics, HDR processing, optical metrology and programming in Matlab or C++.

Apply at: https://h30631.www3.hp.com/form/candidate/51876/3544/4279797

Posted 3/22/17

Inkjet Print Engineer


Brief Description
Kateeva is looking for an Inkjet Print Engineer to support the development of Kateeva’s proprietary manufacturing equipment for fabricating the next generation of flat screen displays—organic light emitting diode (OLED) displays. We are looking for an Inkjet Print Expert interested in working in a fast paced environment along-side a great team recruited from among Silicon Valley’s top companies. 

Responsibilities

  • Integration of system and inkjet print process in the field of OLED display and printed electronics
  • Develop operation procedures and print algorithms for a printing system Investigate and troubleshoot print system and process level issues
  • Define and accompany the development of various print system print method and components
  • Define and implement various calibration procedures for a printing system
  • Basic documentation and training

Qualifications

  • Advanced Degree (Masters or Ph.D.) in Physics, material study or engineering
  • 5+ years of industry experience in developing ink-jet printing systems for graphic arts and/or printed electronics, and multi discipline systems
  • Knowledge of digital printing systems and digital printing data processing
  • Knowledge in substrate ink loading behavior and drying
  • Strong problem solving, analytic skills
  • Attention to detail
  • Good command of Photoshop, Excel, Programming skills in Matlab/C#
  • Advantage having knowledge of microelectronics processes and physical vapor deposition
  • Broad, system level vision
  • Ability to write technical documents
  • Ability and attitude for service and training
  • Self-motivated and creative/innovative
  • Data-driven with strong documentation and reporting skills
  • Good organization and time management skills
  • Good analytical/modeling skills, ability to work under pressure
  • Good communication skills
  • Team oriented and comfortable working within and across different groups/disciplines

Send resumes to Aaron Lara at alara@kateeva.com

Posted 2/10/17


Optical Engineer

Auris Surgical Robotics Overview
Auris is a technology company defining the future of medical intervention.  By combining advancements in medical robotics, instrumentation, navigation and data science, the company is building a platform technology capable of expanding the applicability of robotics to a broad spectrum medical procedures.      

Brief Description
Auris is seeking an optical engineer to join our Vision Systems team. This is a key role with responsibilities for developing the test systems needed to design and manufacture imaging subsystems.  

Core Job Responsibilities  
The positions will be responsible for managing the optical test lab and equipment. Will assist in lighting development. Able to assist with automation of optical test systems including LED and thermal testing. A thorough understanding of optical power measurement, image processing and image characterization is required. Expertise programming in Python, and experience with assembling optical bread boards, electrical circuits and cables is highly desired.  

Auris is a rapidly growing company therefore demonstrated success in developing new products in a start-up to mid-size environment is very important. Critical success factors include: a high commitment to achieving key technical goals, timing and cost goals, strong communication and creative thinking within cross-functional teams to address key program risks, working with cross- functional project teams in the successful development and launch of new products, ensure transfer of products to commercial production. Ensure compliance to the external quality requirements and company quality management system.  

Requirements

  • Bachelor’s degree in Engineering or Science is required, a Master’s degree preferred.
  • Minimum of 3 years of experience in a product development environment, preferably with direct participation in release to commercial production.
  • Demonstrated ability to effectively and clearly communicate concepts, ideas and knowledge to other individuals and teams, and strong analytical and problem solving skills. 
  • A solid background in the product development in the medical device industry is desirable.
  • A working knowledge of quality system for medical devices is desirable.   

Please email resumes to Mark.Downing@Aurisrobotics.com.  

Posted 1/19/17  

Computer Vision Scientist – San Carlos, CA

Auris Surgical Robotics Overview
Auris is a technology company defining the future of medical intervention.  By combining advancements in medical robotics, instrumentation, navigation and data science, the company is building a platform technology capable of expanding the applicability of robotics to a broad spectrum medical procedures. 

Brief Description
The Computer Vision Scientist will support the development of the Auris navigation program for medical interventions. He/she will work closely with other Research Scientists, Clinical Engineers and Software Engineers to develop solutions to enable Auris instruments to safely navigate within a clinical environment.

Core Job Responsibilities

  • Development and implementation if computer vision algorithms in support of Auris products and applications.
  • Research new techniques and algorithms 
  • Work closely with other research scientists, clinical engineers and SW engineers to transfer solutions into Auris products and applications

Requirements

  • 5+ years of experience on computer vision algorithm development, medical image computing, image analysis
  • Candidates with a PhD in CS, EE, BME or related degree with experience in computer vision and medical image processing are strongly preferred.
  • Deep understanding and experience in state-of-art medical image analysis and computer vision algorithms (Optical Flow, SLAM, SIFT, SURF, SFS, SfM) and machine learning algorithms
  • Experience in the field of image guided surgery, and processing of endoscope and/or laparoscopic image datasets 
  • Proficiency in C++, Python, OpenCV, ITK
  • Experience with cross-platform software development and version control systems (Git, etc)
  • Experience with real-time systems and real-time programming
  • Experience with experimental design
  • Must have a demonstrated ability to effectively and clearly communicate concepts, ideas and knowledge to other individuals and teams.
  • Strong analytical and problem solving skills
  • Comfortable working with and seeking optimum solutions with other team members, as well as team members in adjacent disciplines.

Please email resumes to Mark.Downing@Aurisrobotics.com

Posted 1/19/17