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Remote Research Math Jobs in Centerville, OH (NOW HIRING)

The individual will support advanced remote sensing exploitation functions through detailed ... Perform R&D to enhance performance of detection, tracking and ATR algorithms on remotely sensed ...

The individual will support advanced remote sensing exploitation functions through detailed ... Perform R&D to enhance performance of detection, tracking and ATR algorithms on remotely sensed ...

Remote Research Math information

What are the key skills and qualifications needed to thrive as a Remote Research Mathematician, and why are they important?

To thrive as a Remote Research Mathematician, you need a strong background in advanced mathematics, analytical problem-solving, and typically a graduate degree in mathematics or a related field. Proficiency with mathematical software such as MATLAB, Mathematica, or Python, and familiarity with collaborative tools for remote teamwork are often required. Strong written communication, self-motivation, and critical thinking are crucial soft skills for effectively conducting and presenting independent research. These skills enable rigorous analysis, clear dissemination of findings, and successful collaboration in a remote research environment.

What are some common challenges faced by professionals in remote research math roles, and how can they be addressed?

Remote research math professionals often encounter challenges such as collaborating effectively with team members across different time zones and maintaining clear communication on complex problems. To overcome these, it's essential to use collaborative digital tools, schedule regular video meetings, and document progress thoroughly. Additionally, setting structured working hours and frequent check-ins can help maintain momentum and foster a sense of teamwork, even when working independently. Proactively seeking feedback and sharing draft work also ensures alignment and productivity.

What are Remote Research Math jobs?

Remote Research Math jobs involve conducting mathematical research, analysis, and problem-solving from a location outside of a traditional office or lab, typically via the internet. Professionals in these roles may work for universities, research institutions, or private companies, collaborating with teams and publishing findings remotely. Tasks can include developing mathematical models, analyzing data, and applying advanced math to solve real-world problems. These jobs require strong mathematical skills, self-motivation, and the ability to communicate findings effectively in a virtual environment.

What is the difference between Remote Research Math vs Remote Data Analyst?

AspectRemote Research MathRemote Data Analyst
Required CredentialsAdvanced degrees in mathematics or related fieldsBachelor's or master's in statistics, data science, or related fields
Work EnvironmentResearch-focused, often academic or R&D settingsBusiness or tech industry, analyzing datasets
Employer & Industry UsageUniversities, research institutions, tech companiesCorporations, consulting firms, tech companies
Common Search & Comparison IntentUnderstanding research roles in mathAnalyzing data in business contexts

Remote Research Math involves advanced mathematical research, often in academic or R&D settings, requiring higher-level degrees. Remote Data Analysts focus on interpreting data to inform business decisions, typically with a bachelor's or master's degree. While both roles analyze data, Research Math emphasizes theoretical and complex problem-solving, whereas Data Analysts focus on practical data interpretation for organizations.

Physicist / Remote Sensing Scientist

Physicist / Remote Sensing Scientist

Barone Consulting

Dayton, OH • Remote

Full-time

Posted 8 days ago


Job description

We are seeking an experienced TS/SCI cleared Remote Sensing Scientist / Physicistwith a deep understanding of the mathematics/geometry of sensor homography / image stitching. The ideal candidate will have photogrammetry skills and a background with remote sensing principles and sensor/target phenomenology or spectral phenomenology and algorithm development experience across a broad spectral range from visible to thermal. If your strength lies in domain image processing and data/scene exploitation and you want to work on a compelling project that has to do with enabling next-generation capabilities for national defense, specifically to help shape the future of airborne and space-based surveillance, this position will place you at the cutting edge.You will support a large R&D program that is focused on providing advanced intelligence capabilities for the benefit of the DoD and IC communities.

You will be part of a very high visibility project on a mid-sized team where you will work with seasoned scientists and developers, creating solutions to complex problems within a collaborative team environment.ResponsibilitiesDevelop and apply advanced models for sensor homography, image stitching, and geometric alignment of multi-sensor and/or multi-modal imageryAnalyze remote sensing data using domain-specific knowledge of sensor and target phenomenology (OPIR, EO, MSI, etc)Implement computer vision and image processing techniques for large-scale scene exploitationSupport development and analysis of persistent collection systems and architecturesConduct technical studies involving focal plane array characteristics, such as quantum efficiency, flux density, pixel crosstalk, and noise modelingUtilize Python and/or MATLAB for prototyping, algorithm development, and data analysis to write scientific code for clutter and noise mitigation, image reconstruction, compressive sensing, tracking, detection, feature extraction and classification, stereo, machine learning, signal processing, and radiometric calculationsCollaborate on multidisciplinary R&D efforts and contribute to technical strategy developmentRequired Must Have SkillsIn-depth understanding of mathematical principles behind image registration, sensor fusion, and geometric modelingStrong grasp of scientific focal plane array (FPA) concepts, including quantum efficiency, crosstalk, pixel sensitivity, and flux behaviorFamiliarity with persistent collection systems, their design considerations, and operational implicationsDemonstrated expertise in domain-specific remote sensing, including sensor/target interactionsProficiency in both Python and MATLAB and for scientific computing and algorithm developmentExperience developing or optimizing algorithms for deployment in operational environmentsActive TS/SCI clearance with CI Scope PolygraphExperience designing and deploying computer vision algorithms in remote sensing workflowsKnowledge of spectral imaging, radiometric calibration, or sensor characterizationWorking familiarity with AI/ML techniques applied to spatial or temporal imageryRecord of published work or conference presentations in the fields of remote sensing or sensor modelingExperience transitioning algorithms from prototype to deployed system in defense or ISR environmentsQualifications (education/experience substitutions are allowed)Mid-level candidates must have a B.A./B.S. and 4 years of experienceSenior level candidates must have a B.A./B.S. and 10 years of experienceSME level candidates must have a M.A./M.S.

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