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From Home Graph Theory Jobs (NOW HIRING)

Kanak Elite Services Inc

Graph Developer

New York, NY · On-site

Graph Developer 3-4 days a week in NYC locals only Must have a bachelors from a US University ... Understanding of data structures and algorithms, particularly related to graph theory. * Excellent ...

Varsity Tutors

Discrete Math Tutor

AL · Remote

$18 - $40/hr

All from the comfort of your home. Why Join Our Platform? * Earn incrementally higher pay for each ... from combinations, and understanding graph theory terminology. Adapts instruction using truth ...

Varsity Tutors

Discrete Math Tutor

Johns Creek, GA · Remote

$18 - $40/hr

All from the comfort of your home. Why Join Our Platform? * Earn incrementally higher pay for each ... from combinations, and understanding graph theory terminology. Adapts instruction using truth ...

Varsity Tutors

Discrete Math Tutor

Milwaukee, WI · Remote

$18 - $40/hr

All from the comfort of your home. Why Join Our Platform? * Earn incrementally higher pay for each ... from combinations, and understanding graph theory terminology. Adapts instruction using truth ...

Varsity Tutors

Discrete Math Tutor

Cleveland, OH · Remote

$18 - $40/hr

All from the comfort of your home. Why Join Our Platform? * Earn incrementally higher pay for each ... from combinations, and understanding graph theory terminology. Adapts instruction using truth ...

Varsity Tutors

Discrete Math Tutor

Memphis, TN · Remote

$18 - $40/hr

All from the comfort of your home. Why Join Our Platform? * Earn incrementally higher pay for each ... from combinations, and understanding graph theory terminology. Adapts instruction using truth ...

Varsity Tutors

Discrete Math Tutor

Provo, UT · Remote

$18 - $40/hr

All from the comfort of your home. Why Join Our Platform? * Earn incrementally higher pay for each ... from combinations, and understanding graph theory terminology. Adapts instruction using truth ...

Varsity Tutors

Discrete Math Tutor

Atlanta, GA · Remote

$18 - $40/hr

All from the comfort of your home. Why Join Our Platform? * Earn incrementally higher pay for each ... from combinations, and understanding graph theory terminology. Adapts instruction using truth ...

Varsity Tutors

Discrete Math Tutor

Henderson, NV · Remote

$18 - $40/hr

All from the comfort of your home. Why Join Our Platform? * Earn incrementally higher pay for each ... from combinations, and understanding graph theory terminology. Adapts instruction using truth ...

Varsity Tutors

Discrete Math Tutor

PA · Remote

$18 - $40/hr

All from the comfort of your home. Why Join Our Platform? * Earn incrementally higher pay for each ... from combinations, and understanding graph theory terminology. Adapts instruction using truth ...

Varsity Tutors

Discrete Math Tutor

Highland Park, IL · Remote

$18 - $40/hr

All from the comfort of your home. Why Join Our Platform? * Earn incrementally higher pay for each ... from combinations, and understanding graph theory terminology. Adapts instruction using truth ...

Varsity Tutors

Discrete Math Tutor

Murfreesboro, TN · Remote

$18 - $40/hr

All from the comfort of your home. Why Join Our Platform? * Earn incrementally higher pay for each ... from combinations, and understanding graph theory terminology. Adapts instruction using truth ...

Varsity Tutors

Discrete Math Tutor

Cooper City, FL · Remote

$18 - $40/hr

All from the comfort of your home. Why Join Our Platform? * Earn incrementally higher pay for each ... from combinations, and understanding graph theory terminology. Adapts instruction using truth ...

Varsity Tutors

Discrete Math Tutor

Irving, TX · Remote

$18 - $40/hr

All from the comfort of your home. Why Join Our Platform? * Earn incrementally higher pay for each ... from combinations, and understanding graph theory terminology. Adapts instruction using truth ...

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From Home Graph Theory information

What is the difference between From Home Graph Theory vs Data Analyst?

AspectFrom Home Graph TheoryData Analyst
Required CredentialsMathematics, Computer Science degrees, certifications in graph theory or algorithmsStatistics, Mathematics, or Data Science degrees, certifications in data analysis tools
Work EnvironmentResearch, academic, or tech companies focusing on graph algorithmsBusiness, finance, marketing, or tech firms analyzing data sets
Industry UsageResearch, academia, specialized tech rolesBusiness intelligence, marketing, finance, healthcare
Search & Comparison IntentUnderstanding theoretical applications or academic rolesAnalyzing data to inform business decisions

From Home Graph Theory focuses on theoretical and algorithmic aspects of graph structures, often within research or academic settings. Data Analysts interpret data to support business strategies. While both roles involve data and analytical skills, Graph Theory roles are more specialized in algorithms and mathematics, whereas Data Analysts focus on practical data interpretation for decision-making.

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From Home Graph Theory jobs near you
Infographic showing various From Home Graph Theory job openings in the United States as of August 2026, with employment types broken down into 46% Full Time, 45% Part Time, and 9% Contract. Highlights an 82% In-person, 9% Hybrid, and 9% Remote job distribution.

RESEARCH FELLOW - NSF - Granular Materials Using Graph Theory

University of Michigan

Ann Arbor, MI • On-site

Full-time

Posted 10 days ago

University Of Michigan rating

8.1

Company rating: 8.1 out of 10

Based on 145 frontline employees who took The Breakroom Quiz

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Job description

How to Apply
Applications should be sent to [email protected] and [email protected] with the subject line: Postdoctoral Application - Granular materials using graph theory.
Interested applicants should submit:
  1. Cover letter describing research interests and relevant experience (or information embedded in email).
  2. Curriculum vitae.
  3. Contact information for three references.

Who We Are
At Michigan Engineering, we develop the talent and technologies that move society forward and serve our state and national interests. Through discovery and innovation, we create the foundational knowledge and practical technologies to solve not only today's most pressing challenges, but also power industries and change lives. Our programs and community are designed to promote personal well-being and achievement - enabling everyone to unlock their potential and contribute with confidence.
Job Summary
The Department of Mechanical Engineering at the University of Michigan invites applications for a Postdoctoral Research Fellow position as part of an NSF-funded project focused on understanding the relationships among particle geometry, packing structure, force transmission, and mechanical properties in dense assemblies of faceted, nonspherical granular particles. This multi-PI project integrates graph/network theory, granular mechanics, 3D X-ray diffraction and imaging, and discrete element method simulations. The successful candidate will join a collaborative experimental-computational team led by Prof. Hongyi Xiao and Prof. Ashley Bucsek at the University of Michigan and with opportunities at national synchrotron facilities.
One of the hallmarks of granular materials is the complexity of their particle shapes. Real-world granular materials often consist of particles with flat surfaces, edges, and corners, including minerals formed through crystallization, ceramics produced by comminution, and building blocks used in durable ancient architecture. This project will use graph theory to represent and analyze the contact networks of faceted, nonspherical particles. Graph-based descriptors will be constructed from X-ray-based 3D in-situ characterization methods, including High-Energy Diffraction Microscopy and Micro-Computed Tomography, and supported by Discrete Element Method simulations.
The postdoctoral fellow will contribute to one or more aspects of the project, including graph/network construction and analysis, 3D in-situ X-ray diffraction and imaging experiments, and discrete element method simulations. Applicants with strong expertise in any one of these areas and an interest in interdisciplinary collaboration are encouraged to apply.
Responsibilities*
The successful candidate will:
  • Work closely with an integrated experimental, computational, and data-analysis team at the University of Michigan.
  • Develop and apply graph/network-based representations of faceted granular assemblies.
  • Contribute to experimental design, data analysis, and/or computational modeling, depending on expertise.
  • Prepare manuscripts for peer-reviewed publication and present results at national and international conferences.
  • Contribute to project reporting and participate in regular team meetings.
  • Engage in a highly collaborative, multidisciplinary research environment spanning solid mechanics, materials science, X-ray characterization, condensed matter physics, granular mechanics, and network theory.

Required Qualifications*
Applicants should have:
  • A Ph.D. in physics, mechanical engineering, materials science and engineering, chemical engineering, computational science, or a closely related field.
  • A strong background in one or more of the following areas: graph/network analysis, solid mechanics, materials science, soft condensed matter physics, or computational modeling.
  • Experience with data analysis or computational tools using MATLAB, Python, or similar platforms.
  • Demonstrated ability to conduct independent research and publish in peer-reviewed journals.
  • Strong communication skills and interest in collaborative, team-based research.

Desired Qualifications*
Preferred candidates will have experience in one or more of the following areas:
  • Graph-based network analysis for complex particle systems.
  • 3D X-ray diffraction, high-energy diffraction microscopy, micro-computed tomography, and the associated analysis methods.
  • Discrete element method and/or finite element method simulations.
  • Physics of granular materials related to jamming, packing and deformation.

Modes of Work
Positions that are eligible for hybrid or mobile/remote work mode are at the discretion of the hiring department. Work agreements are reviewed annually at a minimum and are subject to change at any time, and for any reason, throughout the course of employment. Learn more about the work modes .
Additional Information
Position Details:
  • Location: Ann Arbor, Michigan, U.S.
  • Department: Mechanical Engineering, University of Michigan
  • Start date: Preferred start date September - December 2026
  • Appointment length: Initial one-year appointment, renewable based on performance for an additional one to two years.
  • Funding: U.S. National Science Foundation
  • Supervisors: Prof. Hongyi Xiao (Department of Mechanical Engineering) and Prof. Ashley Bucsek (Department of Mechanical Engineering, Department of Materials Science and Engineering)

Background Screening
The University of Michigan conducts background checks on all job candidates upon acceptance of a contingent offer and may use a third-party administrator to conduct background checks. Background checks are performed in compliance with the Fair Credit Reporting Act.
Application Deadline
Job openings are posted for a minimum of seven calendar days. The review and selection process may begin as early as the eighth day after posting. This opening may be removed from posting boards and filled at any time after the minimum posting period has ended.
U-M EEO Statement
The University of Michigan is an Equal Opportunity Employer. We are committed to providing an environment of mutual respect where equal employment opportunities are available to all applicants, including protected veterans and individuals with disabilities.
Job Detail
Job Opening ID
281393
Working Title
RESEARCH FELLOW - NSF - Granular Materials Using Graph Theory
Job Title
RESEARCH FELLOW
Work Location
Ann Arbor Campus
Ann Arbor, MI
Modes of Work
Onsite
Full/Part Time
Full-Time
Regular/Temporary
Regular
FLSA Status
Exempt
Organizational Group
College Engineering
Department
CoE Mechanical Engineering
Posting Begin/End Date
8/07/2026 - 8/21/2026
Career Interest
Research Fellows

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The University of Michigan (U-M), based in Ann Arbor, MI, US, is one of America's most esteemed institutions in higher education. Established in 1817, it presides in the industry of education and research, providing a range of services including undergraduate, graduate, and professional education programs. Complementing this is an extensive research activity that has significantly contributed to various fields, from healthcare to engineering, humanities to sports. Upholding its mission "to serve the people of Michigan and the world through preeminence in creating, communicating, preserving and applying knowledge, art, and academic values", U-M consistently ranks among the top universities globally, a testament to its tradition of excellence in learning and research, and a deep commitment to innovation and discovery.

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