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Weekend Material Science Postdoc Jobs in Colorado

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Weekend Material Science Postdoc information

What is the difference between Weekend Material Science Postdoc vs Part-Time Material Scientist?

AspectWeekend Material Science PostdocPart-Time Material Scientist
CredentialsPhD in Material Science or related fieldDegree in Material Science or related field, possibly with industry experience
Work EnvironmentAcademic or research institution, limited hours on weekendsIndustry or research lab, flexible hours, part-time schedule
Employer & Industry UsageUniversities, research institutes, academic projectsManufacturers, R&D departments, industry projects
Search & Comparison IntentAcademic research, postdoctoral opportunitiesIndustry roles, part-time research or consulting

The Weekend Material Science Postdoc typically involves academic research with a focus on advancing scientific knowledge, often in university settings. In contrast, a Part-Time Material Scientist usually works in industry, applying material science principles to product development or quality control on a flexible schedule. Both roles require relevant degrees, but their work environments and employer types differ significantly.

What are some common challenges faced by weekend material science postdocs, and how can they be managed?

Weekend Material Science Postdocs often balance intensive research tasks with the unique challenge of working primarily over weekends, which can impact collaboration with weekday staff and access to certain resources. Managing time efficiently and communicating proactively with colleagues is crucial to ensure project continuity and data sharing. Additionally, postdocs may need to coordinate experiments around limited lab availability or equipment maintenance schedules. Establishing clear goals and maintaining regular updates with supervisors can help mitigate these challenges and foster a productive work environment.

What are the key skills and qualifications needed to thrive as a weekend material science postdoc?

A Weekend Material Science Postdoc typically requires a PhD in materials science or a related field, with strong analytical, research, and laboratory skills. Proficiency in materials characterization tools (such as SEM, TEM, XRD), data analysis software, and familiarity with laboratory safety protocols are essential. Strong problem-solving abilities, effective time management, and clear communication enable collaboration and independent work during non-standard hours. These competencies ensure rigorous research outcomes, efficient use of resources, and effective contribution to scientific advancements in a flexible work schedule.

What is a weekend material science postdoc?

A Weekend Material Science Postdoc is a postdoctoral researcher who focuses on materials science projects, typically working during weekends or on a flexible schedule. This role involves conducting experiments, analyzing data, and collaborating with other researchers to advance knowledge in materials science fields such as nanotechnology, polymers, or metals. Weekend positions may be designed for individuals balancing other commitments or for labs that require extended coverage. The role often includes publishing research findings and contributing to grant proposals. It is ideal for those looking to gain specialized experience while maintaining a non-traditional work schedule.
What are the most commonly searched types of Material Science Postdoc jobs in Colorado? The most popular types of Material Science Postdoc jobs in Colorado are:
What cities in Colorado are hiring for Weekend Material Science Postdoc jobs? Cities in Colorado with the most Weekend Material Science Postdoc job openings:
Weekend Material Science Postdoc jobs near you

NIST PREP Postdoc Associate, Inverse Problems and Signal Processing for Thermoreflectance Measuremen

Southeastern Universities Research Association

Boulder, CO • On-site

$68K - $93K/yr

Full-time

Re-posted just now

Job description

This position is part of the National Institute of Standards (NIST) Professional Research Experience (PREP) program. NIST recognizes that its research staff may wish to collaborate with researchers at academic institutions on specific projects of mutual interest, thus requires that such institutions must be the recipient of a PREP award. The PREP program requires staff from a wide range of backgrounds to work on scientific research in many areas. Employees in this position will perform technical work that underpins the scientific research of the collaboration.
Research title: Inverse Problems and Signal Processing for Thermoreflectance Measurements
The work will entail:This postdoctoral position entails developing new analysis techniques and inversion methods related to the thermal properties of computing devices, as probed with through thermoreflectance imaging. The position requires basic knowledge of classical and/or data-driven inverse problems, familiarity with mathematical modeling with differential or integral equations, and experience applying statistical methods to datasets of measured data. Additionally, the applicant should have experience with basic signal processing techniques related to Nyquist sampling theory. The position is aimed at developing new techniques for identifying heat sources in devices that probed with thermoreflectance imaging techniques and in developing rapid measurement techniques for this problem.
Key responsibilities will include but are not limited to:
  • Design, implement, and analyze new algorithms for heat source localization of thermoreflectance images;
  • Design, implement, and analyze new techniques for sampling thermoreflectance images with compressed sensing, adaptive Gaussian processes, or similar sub-Nyquist sampling techniques;
  • Dissemination of research in internal and external publications and presentations;
  • Ensuring that results, protocols, software, and documentation have been archived or otherwise transmitted to the larger organization.

Qualifications
  • A doctoral degree in Applied Mathematics, Electrical Engineering, Computer Science, Engineering, Physics, or a related field.
  • Familiarity with the theory of mathematical inverse problems, forward modeling with differential equations, and a basic understanding of signal processing.
  • Experience with Matlab and/or Python for scientific computing.
  • Experience analyzing datasets of measured physical data.
  • Strong oral and written communication skills.

Privacy Act StatementAuthority: 15 U.S.C. § 278g-1(e)(1) and (e)(3) and 15 U.S.C. § 272(b) and (c)
Purpose: The National Institute for Standards and Technology (NIST) hosts the Professional Research Experience Program (PREP) which is designed to provide valuable laboratory experience and financial assistance to undergraduates, post-bachelor's degree holders, graduate students, master's degree holders, postdocs, and faculty.
PREP is a 5-year cooperative agreement between NIST laboratories and participating PREP Universities to establish a collaborative research relationship between NIST and U.S. institutions of higher education in the following disciplines including (but may not be limited to) biochemistry, biological sciences, chemistry, computer science, engineering, electronics, materials science, mathematics, nanoscale science, neutron science, physical science, physics, and statistics. This collection of information is needed to facilitate administrative functions of the PREP Program.
Routine Uses: NIST will use the information collected to perform the requisite reviews of the applications to determine eligibility, and to meet programmatic requirements. Disclosure of this information is also subject to all the published routine uses as identified in the Privacy Act System of Records Notices: NIST-1: NIST Associates.
Disclosure: Furnishing this information is voluntary. When you submit the form, you are indicating your voluntary consent for NIST to use of the information you submit for the purpose stated.
SURA is an Equal Opportunity Employer. We believe that no one should be discriminated against because of their differences, such as age, disability, ethnicity, gender, gender identity and expression, religion, or sexual orientation. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status, or any other basis as protected by federal, state, or local law.
PREP0003622

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