remote sensing research scientist

North Dakota State University

Overview A Temporary Research Assistant position is available in USDA Agricultural Research Service at Edward T. Schafer Agricultural Research Center in Fargo, ND and hired through North Dakota State University. We are seeking a motivated and detail-oriented Research Assistant to join our Remote Sensing and Imaging team in Sugarbeet Research Unit. This internship offers an excellent opportunity for individuals interested in gaining hands-on experience in automation research on agricultural crop production. The ideal candidate will assist in various research projects on drone, field robot, and satellite platforms while developing their skills in sensing, control, and imaging techniques and data analysis.Responsibilities<ul><li>Assist with conducting experiments and research projects under the supervision of senior researchers.</li><li>Assist in designing and troubleshooting the hardware integration and in-house software for sensing and control interface</li><li>Maintain accurate records of experiments, analyze data, and report summarizing findings.</li><li>Collaborate with team members to ensure a safe and efficient laboratory environment.</li></ul>Qualifications<ul><li>Currently pursuing or recently completed a degree in Engineering, Computer Science, or a related field.</li><li>Familiarity with Python, Raspberry Pi, and Arduino is preferred.</li><li>Experience or course work related to Image Processing, Field Robotics, GIS, Drone, and Precision Agriculture is advantageous.</li><li>Strong analytical skills with the ability to interpret scientific data effectively.</li><li>Excellent organizational skills and attention to detail are essential for maintaining accurate records.</li><li>Ability to work independently as well as part of a collaborative team environment.</li></ul>This internship provides an invaluable opportunity to gain practical experience in research while contributing to important scientific advancements in the field.Job Types: Full-time, Part-time, Temporary, InternshipPay: $16.00 - $20.00 per hourAbility to Commute:<ul><li>Fargo, ND 58102 (Required)</li></ul>Ability to Relocate:<ul><li>Fargo, ND 58102: Relocate before starting work (Required)</li></ul>Work Location: In person

Temporary Research Assistant - Machine Learning & Remote Sensing

Meta

<div>We're seeking a PhD Research Intern to help advance Meta's methods to quantify/model user fit of wearable devices with a focus on head and eye pose measurement, and their implications on visual quality, comfort, and other system performance. The internship will involve developing instrumentation methods, capturing high-quality biometric data, and analyzing naturalistic head posture and gaze behavior to inform realistic design targets for future wearable systems. This role sits at the intersection of human factors, biomechanics, sensing and instrumentation, and computational 3D data analysis&mdash;enabling improved evaluation and design decisions for fit, optics, field of view, and related subsystems.Our internships are twelve (12) to twenty-four (24) weeks long and we have various start dates throughout the year. 
 
 
<h3 class="jobSectionHeader">Research Scientist Intern, Human Sensing and Wearable Fit Modeling (PhD) Responsibilities:
 
</h3><ul><li>Design and execute a research plan&mdash;from problem statement through data collection, analysis, and recommendations.</li><li>
Develop and refine instrumentation techniques and protocols for capturing anthropometric data (e.g., eye tracking, head pose, gaze behavior), optimizing for throughput, reliability, and practicality.</li><li>
Build repeatable pipelines for sensor and data acquisition, processing, and quality assurance.</li><li>
Quantify uncertainty, repeatability, and practical tradeoffs (e.g., fidelity, cost, scalability) to inform design decisions.</li><li>
Develop models or frameworks that characterize variability and inform realistic design targets for wearable systems.</li><li>
Communicate results to cross-functional partners through written reports, clear visuals, and actionable recommendations.</li></ul> 
 
 
<h3 class="jobSectionHeader">Minimum Qualifications: 
</h3><ul><li>
Currently has, or is in the process of obtaining a PhD degree in Human Factors, Biomechanics, Biophysics, Robotics, Computer Vision, Applied Math, Computer Graphics, or a related field</li><li>
Demonstrated research experience designing experiments and analyzing results with appropriate rigor (repeatability, confounds, validation)</li><li>
Hands-on experience with at least one of the following: eye tracking systems, IMUs, motion capture, other real-time biometric instrumentation, or 3D/geometry data processing (such as working with meshes, point clouds, coordinate systems, registration, or error analysis)</li><li>
Proven programming skills in Python (and/or C++/MATLAB), including building data pipelines and producing reproducible analysis</li><li>
Experience communicating technical work clearly to cross-functional audiences (written + verbal)</li><li>
Must obtain work authorization in country of employment at the time of hire, and maintain ongoing work authorization during employment</li></ul> 
 
 
<h3 class="jobSectionHeader">Preferred Qualifications: 
</h3><ul><li>
Experience building or validating calibration procedures for sensing systems (eye tracking, IMU, mocap, photogrammetry/3D scanning)</li><li>
Background in wearables, ergonomic/fit evaluation, or display/optics-adjacent human perception work</li><li>
Knowledge of computational geometry / graphics concepts (e.g., coordinate transforms, pose estimation, registration, uncertainty propagation)</li><li>
Familiarity with experimental design for time-series human behavior (task design, reducing confounds, modeling distributions)</li><li>
Experience with privacy-aware handling of human subject data (e.g., minimizing retained identifiers, data governance considerations)</li><li>
Intent to return to degree program after the completion of the internship/co-op</li></ul> 
 
 
<h3 class="jobSectionHeader">About Meta: 
</h3>
Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today&mdash;beyond the constraints of screens, the limits of distance, and even the rules of physics. 
 
 
<div>Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
 
 
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@meta.com. 
 
$7,313/month to $12,134/month + benefits 
 
Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.</div></div>

Research Scientist Intern, Human Sensing and Wearable Fit Modeling (PhD)

Get Offers

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 <li>
 
 Title:
 
 Mass Spectomery Scientist (Remote)
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 Engagement:
 
 Hourly contract (independent contractor)
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 Location:
 
 Remote
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 Compensation:
 
 $100 &ndash; $300 per hour
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 Job Summary
 
 
 
 Join our customer&rsquo;s innovative team as a
 
 Mass Spectrometry Scientist
 
 , where you will drive scientific discovery through advanced mass spectrometry techniques in a flexible remote setting. This role offers the opportunity to contribute deep analytical expertise in a collaborative environment while advancing high-impact research initiatives. You will translate complex analytical data into clear, actionable insights for multidisciplinary stakeholders.
 
 
 
 
 
 
 Key Responsibilities
 
 
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 Develop, optimize, and validate mass spectrometry (MS) methods for qualitative and quantitative analysis of complex biological, chemical, or environmental samples.
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 Operate, maintain, calibrate, and troubleshoot mass spectrometry instrumentation and associated laboratory systems.
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 Perform rigorous data interpretation and statistical analysis to ensure scientific accuracy and reproducibility.
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 Collaborate with R&amp;D, quality, regulatory, and cross-functional teams to support project objectives and timelines.
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 Prepare detailed technical documentation, experimental protocols, validation reports, and scientific summaries.
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 Stay current with advancements in MS technologies, ionization techniques, and analytical workflows.
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 Present findings clearly through written reports, publications, and stakeholder presentations.
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 Required Skills and Qualifications
 
 
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 Advanced hands-on expertise in mass spectrometry techniques (e.g., LC-MS/MS, GC-MS, MALDI-TOF, HRMS).
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 Strong background in analytical method development, validation, and troubleshooting.
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 Ability to interpret complex datasets with high scientific rigor.
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 Proficiency in MS data processing and analysis software.
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 Excellent written and verbal communication skills with strong attention to detail.
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 Experience working collaboratively in multidisciplinary scientific environments.
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 Ability to manage multiple priorities effectively in a remote work setting.
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 MS or PhD in Chemistry, Biochemistry, Analytical Science, Pharmaceutical Sciences, or a related field.
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 Preferred Qualifications
 
 
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 Experience with industry-standard MS software (e.g., Xcalibur, MassLynx, Analyst, or similar platforms).
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 Experience in regulated environments (GLP, GMP, ISO standards).
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 Publication record or conference presentation experience.
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 Background in pharmaceutical, biotech, proteomics, metabolomics, or environmental analysis applications.
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 APPLY NOW !
 
 
</div>

Mass Spectomery Scientist (Remote)

YO IT CONSULTING

<div>This project focuses on the Environmental Science domain, where you will assess agent-generated research reports related to climate data, pollution measurements, resource consumption, species population tables, and weather patterns.
Who We're Hiring 
We are looking for evaluators with a background in Environmental Science, Biology (with an Environmental focus), Ecology, Climate Science, or related fields.
This role is ideal for professionals who have:
<ul><li>2&ndash;3 years of professional experience in Environmental Science, ecological research, sustainability analysis, or related roles
</li><li>Experience working with climate datasets, environmental monitoring systems, or pollution measurement reports
</li><li>Hands-on exposure to analysing resource consumption data (water, energy, land use, etc.)
</li><li>Experience interpreting species population tables, biodiversity data, or ecosystem assessments
</li><li>Familiarity with weather pattern analysis and environmental trend reporting
</li><li>Experience sourcing and validating environmental datasets, tables, and scientific statistics from credible public sources
</li><li>Strong analytical skills and attention to detail
</li><li>Excellent written communication skills
</li><li>Comfort working independently and asynchronously
</li></ul>Educational Background: 
Bachelor&rsquo;s or Master&rsquo;s degree in Environmental Science, Biology, Ecology, Climate Science, Sustainability Studies, or a related field.
Key Responsibilities
<ul><li>Evaluate agent-generated research reports for accuracy, relevance, data integrity, and clarity
</li><li>Assess the correctness of insights derived from climate data, pollution metrics, and resource consumption reports
</li><li>Verify species population data, environmental tables, and weather-related statistics using reputable public and scientific sources
</li><li>Identify inconsistencies in environmental analysis, ecological reporting, and sustainability assessments
</li><li>Work independently to complete evaluations within deadlines
</li><li>Maintain consistency and precision across all assigned tasks
</li></ul>Role Details
<ul><li>Part-time (20&ndash;40 hours/week) with flexible scheduling
</li><li>Competitive rates: $40&ndash;$60/hour depending on expertise
</li></ul>All qualified applicants are considered without regard to legally protected characteristics, and reasonable accommodations are provided upon request.
Contract and Payment Terms
<ul><li>You will be engaged as an independent contractor.
</li><li>This is a fully remote role that can be completed on your own schedule.
</li><li>Projects can be extended, shortened, or concluded early depending on needs and performance.
</li><li>Payments are made weekly via Stripe or Wise based on services rendered</li></ul></div>

Environmental Science Evaluator Remote

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10000 remote sensing research scientist jobs Near Me

Temporary Research Assistant - Machine Learning & Remote Sensing

Research Scientist Intern, Human Sensing and Wearable Fit Modeling (PhD)

Mass Spectomery Scientist (Remote)

Environmental Science Evaluator Remote

Environmental Science Evaluator Remote

Environmental Science Evaluator Remote

Environmental Science Evaluator Remote