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Weekend Machine Learning Postdoc Jobs in Peoria, AZ

Must be able to work flexible hours; schedules may vary ( including weekends and some holidays ... We handle all of the work for consignors, including authenticating, using AI and machine learning ...

Laborer (Full-Time)

Phoenix, AZ · On-site

$16 - $19.75/hr

Must be able to work day shifts, nights, weekends, and occasional out-of-town travel. * Must be ... AI"), machine learning technologies, and/or automated decision-making tools to assist in certain ...

Warehouse - Photo Production

Phoenix, AZ · On-site

$16 - $17.25/hr

Ability to work weekends as needed Preferred Requirements: * Proficiency with Mac iOS and Google ... We handle all of the work for consignors, including authenticating, using AI and machine learning ...

Lead Fashion Product Handler

Phoenix, AZ · On-site

$20 - $22.98/hr

... and weekends * Proficient in Google Workspace. * Must be able to walk and be on your feet for ... We handle all of the work for consignors, including authenticating, using AI and machine learning ...

Asset Protection Specialist

Phoenix, AZ · On-site

$18.50 - $19/hr

... evenings and weekends as needed. * The candidate should have the ability to build strong ... We handle all of the work for consignors, including authenticating, using AI and machine learning ...

Showing results 41-60

Weekend Machine Learning Postdoc information

What is the difference between Weekend Machine Learning Postdoc vs Weekend Data Scientist?

AspectWeekend Machine Learning PostdocWeekend Data Scientist
Required CredentialsPhD in Computer Science, Machine Learning, or related fieldBachelor's or Master's in Data Science, Computer Science, or related field
Work EnvironmentAcademic research settings, universities, research labsIndustry companies, startups, consulting firms
Employer & Industry UsageResearch institutions, universities, academic grantsTech companies, finance, healthcare, retail
Common Search & ComparisonYesYes

The Weekend Machine Learning Postdoc typically involves academic research with a focus on advancing machine learning theories and models, often requiring a PhD. In contrast, a Weekend Data Scientist applies data analysis and machine learning techniques in industry settings, often with a bachelor's or master's degree. Both roles may work on similar projects but differ mainly in their environment, credentials, and end goals.

What are the typical projects and collaboration opportunities for a Weekend Machine Learning Postdoc?

As a Weekend Machine Learning Postdoc, you will often contribute to ongoing research projects, developing and refining machine learning models in collaboration with faculty, graduate students, and occasionally industry partners. While your hours are concentrated on weekends, you’ll typically participate in regular research meetings, code reviews, and may co-author papers or grant proposals. The role provides opportunities to mentor junior researchers and expand your expertise by working on interdisciplinary teams. This structure allows you to make significant research contributions while maintaining flexibility in your schedule.

What is a Weekend Machine Learning Postdoc?

A Weekend Machine Learning Postdoc is a postdoctoral researcher who focuses on machine learning projects and typically works on weekends or has a flexible schedule that includes weekend hours. This role often involves conducting advanced research in machine learning, developing algorithms, publishing papers, and collaborating with academic or industry teams. Weekend postdoc positions may be ideal for those balancing other commitments or seeking non-traditional work hours while continuing their research careers.

What are the key skills and qualifications needed to thrive as a Weekend Machine Learning Postdoc, and why are they important?

To thrive as a Weekend Machine Learning Postdoc, you need a strong background in machine learning, statistics, and programming, typically supported by a PhD in a relevant field. Experience with tools such as Python, TensorFlow, PyTorch, and data analysis platforms, as well as familiarity with academic research methodologies, is essential. Exceptional problem-solving abilities, self-motivation, and effective communication are vital soft skills for success in research and collaboration. These skills enable you to drive innovative research, efficiently manage independent projects, and contribute meaningful insights to the field.
What are popular job titles related to Weekend Machine Learning Postdoc jobs in Peoria, AZ? For Weekend Machine Learning Postdoc jobs in Peoria, AZ, the most frequently searched job titles are:

TEM Scientist - Automation & Data Workflows

Eurofins USA Material Sciences

Phoenix, AZ

Full-time

Retirement

Posted 8 days ago


Job description

Company Description

Eurofins EAG Laboratories has over 40 years experience in engineering and materials testing services. Our parent company, Eurofins Scientific, is a multi-billion-dollar global leader in engineering and scientific services with a portfolio of over 200,000 validated analytical methods. 

At EAG, curiosity fuels everything we do. Every analysis, every test, and every question asked in our labs helps unlock what materials and products are capable of—and what the world can build next. If you’re energized by materials science, analytical chemistry, engineering rigor, and solving problems that matter, you’ll feel right at home here.

Our scientists and engineers support industries ranging from semiconductors and advanced electronics to pharmaceuticals, medical devices, energy systems, and consumer products. Using advanced techniques in analytical chemistry, microscopy, surface analysis, and engineering sciences, we help clients solve complex challenges across the product lifecycle.

What sets EAG apart isn’t just our world‑class instrumentation—it’s our people. We’re problem solvers, collaborators, and lifelong learners who value precision, curiosity, and impact. Here, your work directly influences the safety, reliability, and performance of products used around the globe.

Imagine the possibilities. Let’s explore them together

Job Description

Phoenix, AZ | Weekend Shift Eligible

Eurofins EAG Laboratories is seeking a hands-on Transmission Electron Microscopy (TEM) Scientist who also has strong experience building automation, scripting, or data workflows for microscopy data.

This is a specialized, hybrid role combining advanced TEM operation and applied automation/data science in a production laboratory environment.

This role requires both:

  • Hands-on experience operating TEM/STEM systems for materials characterization
  • AND hands-on experience building or implementing automation, scripting, or data workflows (e.g., Python, DigitalMicrograph, ImageJ, or similar tools)

Candidates with experience in only one of these areas will not be considered.

The Scientist will collaborate closely with engineers, scientists, and operations teams to translate laboratory requirements into practical, scalable automation solutions and data workflows.

This role is centered on materials science applications within an analytical laboratory setting. The position requires experience aligned with materials characterization and non-biological systems, which are most relevant to the work performed. Responsibilities include a combination of hands-on laboratory execution and applied programming, rather than work that is solely research- or theory-based.

Work is conducted in a client-driven analytical services environment, requiring solutions that are practical, scalable, and reproducible.

    What You’ll Do

    • Design, build, and implement automation workflows directly on S/TEM systems (data acquisition, instrument control, and workflow scripting)
    • Develop and maintain automated pipelines for TEM data collection and analysis
    • Perform image processing (segmentation, enhancement, measurement, visualization) on 2D and 3D datasets
    • Apply computer vision, statistics, and machine learning to microscopy and analytical data
    • Work with multi-modal materials characterization data (TEM, SEM, EDS, XRD, XPS, RBS, etc.)
    • Improve throughput, repeatability, and data quality of TEM-based services
    • Build tools for data processing, feature extraction, and exploratory analysis
    • Partner with lab teams to translate real-world analytical problems into automated solutions
    • Support S/TEM operation and data collection, including EDS/EELS where needed
    • Contribute to new TEM capabilities (e.g., 4D STEM, advanced imaging workflows)

    What Success Looks Like (First 6–12 Months)

    • Implement or improve automation workflows used in production TEM work
    • Reduce manual intervention in data collection and analysis
    • Increase throughput and consistency of TEM services
    • Build usable tools and pipelines that lab teams adopt

          Work Schedule

          • Wednesday–Sunday or Saturday–Wednesday
          • Weekend shift differential applies

          Compliance Requirement (ITAR)

          This position supports work related to defense applications and is subject to ITAR regulations.

          Applicants must be U.S. Persons, defined as:

          • U.S. Citizen
          • U.S. Permanent Resident (Green Card holder)
          • Political Asylee or Refugee
            Qualifications

            Required Qualifications:

            • MS or PhD in Materials Science, Physics, Engineering, or related field
            • Hands-on S/TEM experience, including real-world data collection
            • Experience developing or implementing automation for TEM or similar instrumentation
              • (e.g., scripting acquisition, using vendor APIs, workflow automation)
            • Strong Python programming skills
              • Ability to build analysis tools, not just basic scripts
            • Experience applying data science, statistics, or computer vision to experimental data
            • Experience working with materials-focused systems (e.g., semiconductors, metals, ceramics, failure analysis)
            • Experience with EDS (not just exposure to EELS)
            • Ability to work in a fast-paced, production lab environment

            Preferred Qualifications:

            • Experience with machine learning applied to imaging or scientific datasets
            • Familiarity with deep learning frameworks (PyTorch, TensorFlow)
            • Experience with TEM automation frameworks or vendor APIs
            • Experience with large-scale or high-throughput data pipelines
            • Exposure to 4D STEM or advanced TEM techniques
            • Experience working with multi-modal data (image, spectral, time-series)

            Physical Requirements:

            • Ability to continuously operate a personal computer or lab equipment for extended periods of time (4 or more hours).
            • Ability to operate a keyboard and other lab equipment, use a telephone, access file cabinets and other items stored at various levels, including overhead.   
            • Must be able to remain in a stationary position 80% of the time. 
            • Ability to communicate clearly and understandably ensure an accurate exchange of information in normal conversational distance, over the telephone, and in a group setting.
            • Ability to handle small and fragile devices with tweezers and /or fingers.
            • Require close distance visual acuity with or without correction (Glasses, Contacts, etc.)
            • Must be willing and able to wear PPE such as hard-hat, steel-toed shoes, safety glasses, laboratory coat and/or any other devices or equipment that is required. 
            • Learn new tasks, remember processes, maintain focus, complete tasks independently, make timely decisions in the context of a workflow, ability to communicate with visitors, ability to complete tasks in situations that have a speed or productivity quota. 
            • Ability to move equipment or items up to 50 lbs. 

            The essential physical and mental requirements described here are representative of those that must be met by an employee to successfully perform the essential functions of the job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.   


            Additional Information

            Compensation is aligned with market standards for the region and tailored to individual qualifications and experience.

            Why Join Us? 

            At EAG Laboratories, we value innovation, collaboration, and professional growth. You will have the opportunity to work with a team of experts in a dynamic and supportive environment. We offer competitive compensation, comprehensive benefits, and opportunities for career advancement.

            What It’s Like to Work Here:

            • Teamwork: Be inspired by your leaders, be encouraged by your teammates and be supported in all parts of your journey while you work with us.
            • Learning & Development: Take on career development programs and goal setting to create big possibilities for your career and life. Develop within the company; be mentored and grown as a leader.
            • Diversity & Authenticity: We work hard to embrace diversity and inclusion and encourage everyone to bring their authentic selves to work every day.

            Benefits & Perks to Foster Work/Life Balance:

            ✓ 401k Company Matching

            ✓ Wellness Program

            ✓ Volunteer Time off

            ✓ Education Assistance

            ✓ Fitness Reimbursement

            ✓ …and more!

            Eurofins EAG Laboratories is committed to promoting an equal employment opportunity workplace environment and is an equal opportunity employer. It is the policy of the Company that all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, national origin, citizenship, pregnancy, genetic information (GINA), disability, military and/or veteran status, and/or any other status protected by applicable Federal, state, or local law.  The Company’s policy is to recruit, hire, train, promote and administer all employment-related matters based on an individual's qualifications, abilities and efforts without regard to protected status. 

            Eurofins USA Material Sciences is a Disabled and Veteran Equal Employment Opportunity employer.