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- OCR expert, ABB Crane Systems, Västerås
ABB Crane Systems in Västerås are looking for a person with profound experience in the field of OCR in real world outdoor settings. The person needs to have a deep grounding in the state of the art in the field, especially the Deep/machine learning part of it. The task at hand is to take control over our OCR development for port systems and lead the way in adapting Deep/machine learning into our computer vision development. Naturally there will be some travel included in this role since the huge international ports that ABB automates are spread across the globe. In an initial phase the focus of the travel will be to the west coast of the US. This role is a senior role and hence need at least 5 years of work experience in the specific field of OCR and or a PhD in the area. By experience is meant hands on “nuts and bolts” experience in writing the algorithms. The role would preferably be a permanent position but we are also open for consultancy work in this area. The competence profile is the primary focus at this stage. Below the requirements are listed in a compact form.Tools: Berkeley Vision Caffe, OpenCV, libSVM, Microsoft C#, C++. internal OCR toolsetType of implementations: Convolutional Neural Networks, Support Vector Machines, wide range of image analytics for blob detection and feature extraction.Technology: Visible and NIR cameras both area and line scan and associated optics, TOF, Stereo, and other modes of 3D imaging, laser scanning and fusion with 2D camera imagingResulting customer facing features:
· Optical Character Recognition of various shipping container markings
· Feature extraction and identification of various attachments and features of shipping containers
· Equipment size, shape, configuration identification
· Identification of location of containers and specific features relative to the transport system
· Automatic exposure, gain, zoom, focus controls based on real-time analysis of image features
Must haves: Expert in Deep Learning with working experience implementing, feature extraction and identification, pattern matching. Working knowledge and ability to learn the Berkeley Caffe framework. Must be an expert in image process and analytics, and have experience in OCR preferably in outdoor applications. Must be able to write working code in C++ and preferably also C#. Must be able to communicate effectively, both oral and written, concepts, approaches to solving problems, and status reporting. Must be able to work in a distributed team.
Contact for this position:
m: +46 725 116010
- Computer vision and deep learning positions at Univrses AB
Computer Vision Scientist
Deep Learning Scientist
Computer Vision Engineer
- Postdoc in Machine Learning for Time-of-Flight Cameras, Linköping University
The postdoc will work as a researcher in a project on machine learning for time of flight cameras, and features collaboration between the Computer Vision Lab and the company Fotonic. 3D cameras using the time of flight (ToF) principle are increasingly popular for automation and robotics. Many new consumer products such as the Kinect v2, and the Microsoft Hololens device also rely on ToF for 3D mapping. We will together with Fotonic study the fundamentals of the measurement problem, and temporal fusion techniques, with the aim of improving depth map quality, range, and robustness.
The postdoc is expected to publish papers at high ranking venues such as ECCV, CVPR, ICCV and 3DV.
Click here for more info about how to apply!
- Computer vision engineers, Unibap AB
You will be part of Unibap vision application team that creates computer vision applications for industrial and space applications using platforms such as the Unibap IVS stereo camera platform. The IVS (Intelligent Vision System) contains heterogeneous computing platform with a combination of compute power from FPGA, GPU and CPU.
Click here for more info about how to apply!
- PhD Student in Deep Learning for 3D Computer Vision, Chalmers University
The topic of this project is to develop new learning methods and mathematical models for the next generation of autonomous systems capable of understanding, navigating and mapping in 3D environments. Click here for more info about how to apply!
- Postdoc and researcher positions in Computerized Image Processing, Scientific Computing, and Bioinformatics in Uppsala, Sweden
Do you want to develop new, intelligent ways of processing and managing very large amounts of microscopy images in order to leverage the imminent explosion of information from modern experimental setups in the biosciences? Join the recently started interdisciplinary research project Hierarchical Analysis of Spatial and Temporal Data (HASTE) within the research groups of Prof. Carolina Wählby, Assoc. Prof. Andreas Hellander, Department of Information Technology, and Assoc. Prof. Ola Sjuth, Department of Pharmaceutical Biosciences, Uppsala University, Science for Life Laboratory, Vironova AB and AstraZeneca AB, Sweden. More information and instructions for how to apply can be found here:
Postdoc position (if your PhD degree was obtained after 2014-05-23)
Researcher position (if your PhD was obtained before 2014-05-23)
Deadline for application: 2017-05-23. Note that all applications need to be submitted though the online recruitment system.
- Postdoctoral research fellow in 3D image analysis of intra-tumor heterogeneity
A postdoctoral position in 3D image analysis of intra-tumor heterogeneity is immediately available in the Crosetto lab for Quantitative Biology and Technology (https://bienkocrosettolabs.org/) with the goal of studying phenotypic, genetic, and transcriptional intra-tumor heterogeneity by high-throughput microscopy imaging of serial tissue sections from different tumor types and hundreds of patients.
Click here to get to the full job description.