Image Scientist Resume Samples

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CO
C Ondricka
Cole
Ondricka
6398 Reynolds Shoal
San Francisco
CA
+1 (555) 259 2025
6398 Reynolds Shoal
San Francisco
CA
Phone
p +1 (555) 259 2025
Experience Experience
Houston, TX
Image Scientist
Houston, TX
Ernser Inc
Houston, TX
Image Scientist
  • Design and develop new algorithms for image and color processing
  • Expand our ISP solution to new levels of functionality, quality, and performance
  • Assist the hardware design team with algorithm implementation and validation
  • MSEE/MSCS or equivalent
  • Research new image and color processing techniques and technologies for digital camera systems
  • Familiarity with image and color processing techniques, including CFA demosaicing, noise reduction, 3A, color correction, tone mapping, etc
  • Image quality tuning and measure
Detroit, MI
Image Analysis Scientist
Detroit, MI
Marvin, Rogahn and Cronin
Detroit, MI
Image Analysis Scientist
  • Work within the Research Management process to produce prototype implementations for algorithms for handover to development teams
  • To apply knowledge to design, develop and validate new algorithms to resolve complex pathological imaging problems
  • Handover of algorithms and associated technical documentation to development teams for implementation and product creation
  • Work with imaging implementation teams to take ideas from concept to product
  • Ensure effective IP management and support patent applications
  • Management of your own time to deliver high quality research results
  • To keep up to date with the latest advances in the field of image analysis generally and specifically in the area of digital pathology
present
Los Angeles, CA
Image Scientist / Phenomenologist
Los Angeles, CA
Little-Hilpert
present
Los Angeles, CA
Image Scientist / Phenomenologist
present
  • Provide recommendations for network implementation, hardware and software definition, and evolution of data exploitation systems
  • Work with SETA sensor engineers to manage issues and improve collection capabilities
  • Work as an Image Scientist / Phenomenologist as part of a System Engineering and Technical Assistance (SETA) team
  • Refinement and development of measures of effectiveness, improvements to system environments, and creation of new procedures to support all facets of operations
  • Development and application of advanced image processing algorithms to enhance data utility and develop new products
  • Participate in operations daily meetings, working groups, engineering review boards, design reviews, test readiness reviews, operational readiness reviews
  • Develop unique collection strategies to maximize utility of various phenomenology
Education Education
Bachelor’s Degree in Image Science
Bachelor’s Degree in Image Science
Carnegie Mellon University
Bachelor’s Degree in Image Science
Skills Skills
  • Image Quality research experience with multi-source sensor collection systems
  • Working proficiency using MS Office (Word, PowerPoint, Excel), MS Outlook, MS Project
  • Working knowledge of standards and software for remote sensing
  • Experience in mission operations environment – ops tempo, utility analysis, sensor calibrations, product quality
  • Experience with design of multi- variable experiments and related statistical data analysis
  • Experience with image compression algorithms
  • Experience with image exploitation software such as ENVI, Remote View, Socet, etc
  • Experience with MATLAB, UNIX based scripting, and/or C++ programming
  • Experience with imaging system performance prediction modeling and metrics
  • 9+ years of related engineering experience on collection systems
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11 Image Scientist resume templates

1

Intel Analysis Image Scientist Resume Examples & Samples

  • Commerical and Industry Relations
  • Field Service Operations
  • Legal
2

Image Scientist Resume Examples & Samples

  • Administration
  • Airline Pilot/Copilot/Flight Engineer
  • General Management
3

SAR Image Scientist Data Exploitation Resume Examples & Samples

  • Evaluate SAR data from vendor and assess its suitability to meet customer requirements
  • Use existing COTS and GOTS tools and capabilities to exploit SAR data for target characterization, detection, mensuration, movement, etc
  • Use existing and develop novel techniques to fuse SAR imagery with EO/IR imagery
  • Interface with national and defense laboratory scientists and Advanced Geospatial Intelligence (AGI) analysts at various sites to ensure our systems are at the leading edge with regard to data exploitation
4

SAR Image Scientist Image Formation Resume Examples & Samples

  • Develop algorithms and prototype software (MATLAB, IDL, or similar) for the processing of raw SAR data into formed products
  • Troubleshoot data anomalies and artifacts by tracing root cause to hardware or software source
  • Interface with national and defense laboratory scientists to ensure our systems are at the leading edge with regard to data processing
  • Provide guidance on the metadata to be stored in our data products to enable downstream processes to fully leverage our sensors’ capabilities with regard to geopositioning, target detection, target mensuration, target motion, etc
5

SAR Image Scientist Data Exploitation Resume Examples & Samples

  • 6+ years with BS
  • Experience with exploitation of SAR data (not just formed images) to derived advanced intelligence products
  • Experience with SOCET GXP, Case Executive, Mensuration Services Protocol (MSP), or other similar applications for SAR exploitation
  • Algorithm development experience using Matlab, IDL, or similar programming language
  • Relationships with key groups at national and defense laboratories and/or S&T exploitation shops
6

SAR Image Scientist Image Formation Resume Examples & Samples

  • 4+ years with MS
  • 2+ years with PhD
  • Development of algorithms and software for airborne and/or satellite based synthetic aperture radar (SAR) systems(Ideally, this candidate will have experience developing algorithms for the processing of SAR raw data into formed images and other products from airborne or satellite platforms for defense and/or intelligence applications)
  • Tracing root cause of artifacts and anomalies in SAR data to hardware or software source
  • Understand radar phenomenology with respect to platform position, target geometry, terrain, ground cover, and weather
  • Programming experience in Matlab, IDL, or similar
  • Experience processing SAR imagery in the defense and intelligence communities
  • Experience extracting information from SAR complex phase history data
  • Relationships with key groups at national and defense laboratories
7

Image Scientist, Lead Resume Examples & Samples

  • 7+ years of experience as an image scientist
  • 5+ years of experience in the IC
  • 2+ years of experience with supporting customer operations
  • Experience with developing Concept of Operations (CONOPS) for new processing capabilities, developing image processing algorithms, and assessing the quality of algorithm outputs
  • Experience with customer tool sets and the TCPED cycle, generating new ways to process data
  • Experience with rapidly prototyping applications and leveraging proficiency in various programming environments, including Matlab, IDL, C++, Java, and PERL scripting
  • Experience with collaborating with engineers on solving high current interest problems
  • BA or BS degree in Science, Technology, Engineering, or a Mathematics discipline required
  • 10+ years of experience in the IC
  • 5+ years of experience with supporting customer operations
  • Experience with LiDAR, OPIR, DEMs, and other day formats preferred
  • Experience with developing multi-INT solutions preferred
  • Ability to be considered a recognized expert in the field
  • MA or MS degree in Science, Technology, Engineering, or a Mathematics discipline preferred
8

Image Data Scientist Resume Examples & Samples

  • Minimum of 3 years of experience using image analytics techniques in a industry setting
  • Experience using image analytics platforms Definiens and Matlab
  • Research experience in analyzing big image datasets
  • Passionate: Show high energy for research problems and open to new ideas
  • Collaborative: Demonstrated experience applying excellent oral and written communication and interpersonal skills working with global and cross-functional teams towards common goals, realizing that the best results from the combined efforts of diverse teams
  • Research experience in biomedical image processing (such as histology-based, CT etc.) to medical and/or biopharmaceutical areas is a plus
9

Image Processing Scientist Resume Examples & Samples

  • Experience providing technical solutions for real-world imaging or digital photography applications
  • Recognized expertise in digital imaging using advanced statistics, machine learning, and/or computer vision concepts is desired
  • Must have proven analytical skills, excellent mathematical background, and ability to communicate effectively
  • Technical publication record is desirable
  • Proficiency with C/C++ development and MATLAB is essential
10

Image Scientist Resume Examples & Samples

  • 2+ years of experience with image science methods
  • Experience with applying comprehension of hyperspectral data processing to the detection of targets and anomalies
  • Experience with writing reports and briefings on findings
  • Experience with a variety of image processing tools, including ENVI
11

Image Scientist / Phenomenologist Resume Examples & Samples

  • Work as an Image Scientist / Phenomenologist as part of a System Engineering and Technical Assistance (SETA) team
  • Provide recommendations for network implementation, hardware and software definition, and evolution of data exploitation systems
  • Development and application of advanced image processing algorithms to enhance data utility and develop new products
  • Investigate innovative and emerging technologies to incorporate into analysis
  • Refinement and development of measures of effectiveness, improvements to system environments, and creation of new procedures to support all facets of operations
  • Analyze problems with algorithms, products, data collection systems and sensors and apply theoretical techniques to develop solutions or mitigation activities in the collection capability of the product
  • Develop unique collection strategies to maximize utility of various phenomenology
  • Conduct user outreach and research new collection techniques to solve hard problems
  • Suggest methods for continued improvement of products from data collection systems and sensors
  • Work with SETA sensor engineers to manage issues and improve collection capabilities
  • Subject Matter Expert for customers to status health and aid in resolving anomalies
  • Review sensor operations documents and procedures, requirements flow down, verification methodologies, calibration plans, Concept of Operations (CONOPS), Interface Control Documents (ICDs) and test plans to ensure program success
  • Participate in operations daily meetings, working groups, engineering review boards, design reviews, test readiness reviews, operational readiness reviews
  • Bachelor's Degree in photogrammetry, remote sensing, imaging science and/or image processing, Master's Degree preferred
  • 9+ years of related engineering experience on collection systems
  • Image Science experience with multi-source sensors
  • Image Quality research experience with multi-source sensor collection systems
  • Experience in mission operations environment – ops tempo, utility analysis, sensor calibrations, product quality
  • Experience with MATLAB, UNIX based scripting, and/or C++ programming
  • Experience with image exploitation software such as ENVI, Remote View, Socet, etc
  • Experience with image compression algorithms
  • Experience with design of multi- variable experiments and related statistical data analysis
  • Experience with imaging system performance prediction modeling and metrics
  • Working knowledge of standards and software for remote sensing
  • Working proficiency using MS Office (Word, PowerPoint, Excel), MS Outlook, MS Project
  • TS/SCI security clearance with polygraph is required
  • ICAF*
12

Image Analysis Scientist Resume Examples & Samples

  • To innovate in the field of computational pathology
  • To apply knowledge to design, develop and validate new algorithms to resolve complex pathological imaging problems
  • Work within the Research Management process to produce prototype implementations for algorithms for handover to development teams
  • Work with imaging implementation teams to take ideas from concept to product
  • Handover of algorithms and associated technical documentation to development teams for implementation and product creation
  • Management of your own time to deliver high quality research results
  • Ensure effective IP management and support patent applications
  • Publish research papers in the field of image analysis
  • Experience in software programming using development languages relevant to image management and analysis
  • Experience of Deep Learning frameworks such as Theano, Tensorflow, Keras, Lasagne and Caffe
  • Experience in handling and analysing whole slide images
  • Experience of building systems for digital pathology
  • Experience of delivering software within a defined software process
  • Experience of agile development methodologies
13

R&D Scientist, Image Analysis Resume Examples & Samples

  • PhD or equivalent research experience in an area of Computer Science, Mathematics, or Engineering with a specialization in the signal and image processing
  • Track record of innovation and scientific contribution as shown by peer-reviewed journal publications
  • Expertise developing algorithms in Matlab
  • Ability to provide technical leadership in signal and image processing
  • Self starting, requiring minimal supervision with strong problem solving skills
  • Excellent communication, teamwork and leadership skills
  • Flexibility in work hours to accommodate interaction with geographically distributed co-workers and collaborators
  • Three or more years of relevant post graduate experience
  • Expertise in image processing algorithms applied to digital microscopy images
  • Expertise in machine learning and/or computer vision
  • Experience designing and implementing analysis pipelines and data storage systems for image analysis workflows
  • Fluency in one or more object-oriented programming languages such as Java, C# or C++
14

Research Scientist for Image Analysis Resume Examples & Samples

  • Identification of key software requirements & toolkits for each image analysis task
  • Develop advanced IA processing toolboxes to pre-process, analyse and output image metrics/visuals
  • Optimise IA techniques to improve throughput and efficiency
  • Give recommendations on how to improve image capture to optimise the quality of image analysis output
  • Collection and reporting of results to aid product design decisions
  • Deliver specialist knowledge to Engineers and management team as part of project progress reviews
  • A passion for research and problem solving in a product development context
  • Good organisational skills, able to plan ahead, prioritise tasks and co-ordinate with the work of others
  • Able to execute experimental programs, analyse the data, summarise findings and make recommendations
15

Data Scientist Spatial & Image Analysis Resume Examples & Samples

  • 4+ years of experience is preferred
  • High level of enthusiasm and a love of data
  • Strong working knowledge of predictive analytics & machine learning
  • Knowledge of and experience with Spatial Analysis Techniques
  • Experience in GIS packages such as ArcGIS or QGIS
  • Knowledge of and experience with geostatistical data, variogram, co-variogram, spatial prediction, kriging, jackknifing uncertainty estimates, Lattice models, and/or Markov random fields
  • Knowledge of Bayesian inference for spatial models
  • Experience in Statistical Image Analysis
  • Familiarity with modern ML and Deep Learning frameworks including Caffe, TensorFlow, Torch, and scikit
  • Experience working with large structured and unstructured data
  • Recommending, selecting, and integrating any Spatial Analysis and/or Image Analysis tools and methodologies required to provide requested capabilities
  • Execution of a wide range of projects across the Spatial Analysis and Image Analysis domains
  • Willingness and interest in stepping into other Data Science domains as required, including Machine Learning, Statistical Analysis, Artificial Intelligence, and Data Engineering
16

Image Scientist Resume Examples & Samples

  • Research new image and color processing techniques and technologies for digital camera systems
  • Design and develop new algorithms for image and color processing
  • Expand our ISP solution to new levels of functionality, quality, and performance
  • Assist the hardware design team with algorithm implementation and validation
  • Image quality tuning and measure
  • Algorithm documentation
  • MSEE/MSCS or equivalent
  • Familiarity with image and color processing techniques, including CFA demosaicing, noise reduction, 3A, color correction, tone mapping, etc
  • A solid working understanding of colorimetry and image sensing technology
  • Strong C/C++ and MATLAB programming skills
  • Hands on experience with mobile cameras a plus
17

Calibration Analyst / Image Scientist Resume Examples & Samples

  • BS degree in Engineering, Physics, Image Science or other related scientific discipline
  • Minimum of 5 years relevant systems engineering work and/or space systems experience and general knowledge of systems engineering processes
  • Included in the relevant systems engineering work is a minimum of 3 years relevant experience with optical systems and/or sensor systems technology design, manufacture, integration, test and operations
  • Excellent inter-personal and communication skills, ability to interact with a cross functional team, act as customer interface
  • Disciplined approach to procedural and program documentation of processes and results
  • Ability to collaborate across all levels of leadership
  • There is an on call component to this position and occasional surge or shift work
  • Experience with MS Word, Excel, PowerPoint and Matlab
  • Familiarity with ground telemetry & commanding software and mission scheduling software
18

Vancouver Senior Image & Color Scientist Resume Examples & Samples

  • Bachelor degree in Computer Science or related discipline
  • 8 to 10 years of Computer programming experience with C++, Python, etc
  • Excellent communication, presentation and negotiation skills
  • Ability to interface with major clients, industry vendors and internal stake holders
  • Capacity for engaging globally across ILM and implementing technology developments accordingly
  • Ability to take on responsibility, ownership, decision making and strategic leadership
  • Strong knowledge of cameras, scanners, image media, film characteristics & processing
  • Strong knowledge of display device technology, market place and advanced calibration techniques
  • Strong knowledge of image codecs and file formats
  • Good awareness of cross-sector solutions for color science implementations
  • Strong understanding of visual perception theory
  • Engagement with the relevant industry initiatives such as ACES, OpenColorIO, OpenEXR, etc
  • Keen interest in future technology trends
  • Direct experience of image processing development for commercially available software such as Nuke and RV
  • Experience with designing color pipelines for complex VFX in large-scale multi-site pipelines and their complex data sets
  • Experience with on-set data capture techniques and VFX lighting/compositing/grading
  • Complete understanding of colour science principles and implementation techniques
  • Complete understanding of end-to-end VFX workflows from on-set to delivery
  • Demonstrable ability to develop colour transforms and image processing algorithms
  • Programming expertise in image processing, colour science and associated VFX techniques
  • Strong experience with display device management, interpretation and diagnostics
19

Image Data Scientist Resume Examples & Samples

  • BS degree from an accredited college or university in GIS, Math, Earth Science, or a related field and zero to six (0-6) years related experience, or MS degree in GIS, Math, Earth Science, or a related field and zero -four (4) years of related experience, or Ph.D. in GIS, Math, Earth Science, or a related field and zero to one (1) year related experience
  • Candidate should have a solid knowledge of statistical modeling and learning techniques and the ability to identify which technique is relevant to the problem in hand. Should have the ability to tackle problems regarding data quality, clustering, dimensionality, etc. Should be able to work with big data sets and mine relationships with them
  • Programming in data-crunching languages such as 'R', IDL, etc. is desired. The ability to quickly develop scripts that can digest data would be a valuable skill
  • Knowledge of computer vision algorithms (i.e. 3D histogram matching, k-means clustering and image fingerprinting) and machine learning algorithms (i.e. random forest classifier) to automatically classify imagery and potentially enable automated feature recognition
  • Demonstrated oral and written communication skills are required
20

Image Scientist / Camera Systems Engineer Resume Examples & Samples

  • Expertise in Matlab and familiarity with Python, C, C++ and Objective-C
  • Expertise with projective geometry and geometric imaging optics
  • Expertise with multi-camera epipolar geometry
  • Experience with optical concepts, optical design, optical aberrations
  • Experience with CMOS image sensors and imaging technology
  • Experience with camera manufacturing
  • Experience with image processing algorithms
  • Broad knowledge of engineering concepts (device behavior, data analysis, statistics, and systems modeling)
  • Great interpersonal skills - the ability to collaborate across groups
21

Image Scientist TS / SCI Resume Examples & Samples

  • Develop CONOPS for processing capabilities to support operational customers use cases
  • Rapidly prototype applications
  • Proactively employ technologies in non-traditional manners to meet emerging technologies and difficult intelligence needs
  • Collaborate with engineers to solve high current internet intelligence issues
  • Experience in the collection and analysis activities