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Temporary Machine Learning Postdoc Jobs in Texas

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Temporary Machine Learning Postdoc information

What is a temporary machine learning postdoc?

A Temporary Machine Learning Postdoc is a fixed-term research position, typically held at a university or research institution, focused on advancing knowledge and techniques in machine learning. Postdoctoral researchers in this role work on specific projects, often collaborating with faculty, graduate students, or industry partners. The position is designed to provide advanced training and research experience after earning a PhD, usually lasting from several months to a couple of years. Temporary postdocs may contribute to publishing academic papers, developing algorithms, and mentoring students, while preparing for longer-term academic or industry careers.

What skills and qualifications are needed to thrive as a temporary machine learning postdoc?

To thrive as a Temporary Machine Learning Postdoc, you need a PhD in a relevant field, a solid grasp of machine learning theory, and strong programming skills (often in Python or R). Experience with tools such as TensorFlow, PyTorch, and high-performance computing environments, as well as a record of peer-reviewed research, is typically required. Strong analytical thinking, collaboration, and effective communication help you stand out in this research-intensive role. These skills are essential for advancing cutting-edge research, publishing impactful findings, and contributing to interdisciplinary projects.

What types of projects and collaborations can a temporary machine learning postdoc expect to engage in?

A Temporary Machine Learning Postdoc typically works on cutting-edge research projects, often contributing to ongoing studies or initiating novel investigations within the field. Collaboration is common, both within their immediate research group and with interdisciplinary teams, such as data scientists, domain experts, or industry partners. Postdocs may also mentor graduate students, present findings at conferences, and publish papers, gaining valuable experience that can lead to academic or industry roles. The environment is fast-paced and research-driven, offering opportunities for professional growth and expanding one's research portfolio.

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

AspectTemporary Machine Learning PostdocData Scientist
CredentialsPhD in Computer Science, Data Science, or related fieldBachelor's or Master's in Data Science, Computer Science, or related field; often requires experience
Work EnvironmentAcademic or research institutions, labsCorporate, tech companies, startups
Employer & Industry UsageUniversities, research centersBusiness, technology, finance, healthcare
Search & Comparison IntentUnderstanding research-focused roles, academic opportunitiesIndustry roles, applied data analysis, business impact

The Temporary Machine Learning Postdoc is primarily research-oriented, often in academic or research settings, requiring a PhD. In contrast, a Data Scientist typically works in industry, applying data analysis and machine learning to solve business problems, often with a Bachelor's or Master's degree. Both roles involve machine learning skills but differ in environment, focus, and experience level.

What are the most commonly searched types of Machine Learning Postdoc jobs in Texas?

The most popular types of Machine Learning Postdoc jobs in Texas are:

What are popular job titles related to Temporary Machine Learning Postdoc jobs in Texas?

For Temporary Machine Learning Postdoc jobs in Texas, the most frequently searched job titles are:

What job categories do people searching Temporary Machine Learning Postdoc jobs in Texas look for?

The top searched job categories for Temporary Machine Learning Postdoc jobs in Texas are:

What cities in Texas are hiring for Temporary Machine Learning Postdoc jobs?

Cities in Texas with the most Temporary Machine Learning Postdoc job openings:

Temporary Machine Learning Postdoc jobs near you

Postdoctoral Research Associate

University of North Texas System

Fort Worth, TX • On-site

$65K - $75K/yr

Full-time

Re-posted 14 days ago

Job description

Title: Postdoctoral Research Associate

Employee Classification: Postdoctoral Research Assoc.

Campus: University of North Texas - Health Science Center

Division: HSC-Div of Rsrch & Innovation

SubDivision-Department: HSC-Health Institutes & Centers

Department: HSC-Inst for Health Disparities-300220

Job Location: Fort Worth

Salary: $65,000 to $75,000 Depending on Experience

FTE: 1.000000

Retirement Eligibility: TRS Eligible

About Us - Values Overview

Welcome to the University of North Texas System. The UNT System includes the University of North Texas in Denton and Frisco, the University of North Texas at Dallas and UNT Dallas College of Law, and University of North Texas Health Fort Worth. We are the only university system based exclusively in the robust Dallas-Fort Worth region. We are growing with the North Texas region, employing more than 14,000 employees, educating a record 49,000+ students across our system, and awarding nearly 12,000 degrees each year.
 
We are one team comprised of individuals who are committed to excellence, curiosity and innovation. We are transforming lives and creating economic opportunity through education. We champion a people-first values-based culture where We Care about each other and those we serve. We believe that we are Better Together because we foster an environment of respect, belonging, and access for all. We demonstrate Courageous Integrity through setting exceptional standards and acting in the best interest of our communities. We are encouraged to Be Curious about opportunities for learning, creating, discovering, and innovating, and are encouraged to learn from failure. Show Your Fire by joining our team and exhibiting your passion and pride in your work as part of our UNT System team.
 
Learn more about the UNT System and how we live our values at www.UNTSystem.edu.
 

Department Summary

The Institute for Health Disparities (IHD) conducts research, training and community
outreach in the areas of minority health, health disparities and workforce variety.
Constituting the IHD are the Texas Center for Health Disparities, National Research
Mentoring Network, Texas CEAL Consortium, HRSA, Training Programs, AIM-AHEAD and the NIMHD Endowment.

Position Overview

The Institute for Health Disparities (IHD) at the University of North Texas Health Science Center (HSC) is seeking a motivated Postdoctoral Research Associate with expertise in cancer prevention, cancer therapy, Artificial Intelligence & Machine Learning (AI/ML), data science, or related fields. The role focuses on applying advanced biomedical, translational, and computational methods to address public health challenges and promote health outcomes. The Postdoctoral Research Associate will collaborate with multidisciplinary teams to develop advanced tools and data solutions aligned with IHD’s mission of advancing research, workforce development, and community engagement.

Minimum Qualifications

Doctoral degree. If not yet conferred, a letter from the school's official Graduate Office and/or Registrar's Office certifying that all requirements have been met and stating the degree conferral date can be accepted. Employees in this job may be responsible for conducting research on, working on, or having the ability to access critical organizational infrastructure and they must be able to maintain the security and integrity of the infrastructure related to this role.

Knowledge, Skills and Abilities

  • Excellent communication skills
  • Project organization/management skills
  • Advanced training in quantitative research methods
  • Ability to work independently and as a team member

Preferred Qualifications

  • Design, implement, and evaluate AI-enabled tools, software applications, data pipelines, and digital platforms that support research, education, training, and community-focused initiatives
  • Experience with programming languages, machine learning frameworks, and familiarity with computing in the cloud/on HPC
  • Strong data visualization and communication skills for technical and non-technical audiences
  • Experience with interdisciplinary or collaborative research environments
  • Experience publishing in peer-reviewed journals or presenting at conferences
  • Familiarity with STEMM, public health, or health disparities research (or related fields)
  • Ability to manage multiple projects and meet deadlines in dynamic research settings
  • Strong problem-solving and critical thinking skills

Required License/Registration/Certifications

Doctoral degree. If not yet conferred, a letter from the school's official Graduate Office and/or Registrar's Office certifying that all requirements have been met and stating the degree conferral date can be accepted. Employees in this job may be responsible for conducting research on, working on, or having the ability to access critical organizational infrastructure and they must be able to maintain the security and integrity of the infrastructure related to this role.

Job Duties

  • Develop and apply research methodology including biomedical, AI/ML, data science, and digital technologies to advance IHD’s mission across research, workforce development, and community engagement.
  • Analyze and interpret complex datasets using statistical, computational, and machine learning methods, and communicate findings through reports, dashboards, visualizations, and presentations. 
  • Prepare manuscripts, participate in grant proposals, technical reports, educational materials, and presentations for scientific, professional, and community audiences/stakeholders.
  • Support and train students, trainees, and other audiences in AI, data science, and computational methods through mentorship, technical instruction, and hands-on learning experiences that contribute to workforce development. 
  • Stay current with emerging trends and scientific literature, contribute to strategic initiatives by identifying emerging technologies, support proposal development, and help translate innovative ideas into impactful programs, products, or services.
  • Collaborate with faculty, students, community partners, healthcare organizations, industry, and other stakeholders to develop innovative solutions, foster partnerships, and support interdisciplinary initiatives. 

Physical Requirements

  • Communicating with others to exchange information.
  • Lifting and Moving objects up to 20 pounds.
  • Sedentary work that primarily involves sitting/standing.

Environmental Hazards

  • No adverse environmental conditions expected.

Work Schedule

Monday - Friday 8-5

Driving University Vehicle

No

Security Sensitive

This is a Security Sensitive Position.

Special Instructions

Applicants must submit a minimum of two professional references as part of their application. If needed, additional references can be added after the application has been submitted. 

Benefits

For information regarding our Benefits, click here.

EEO Statement

The University of North Texas System is firmly committed to equal opportunity and does not permit –and takes actions to prevent – discrimination, harassment (including sexual violence, domestic violence, dating violence and stalking), and retaliation on the basis of race, color, religion, national origin, sex, age, disability, genetic information, or veteran status in its application, employment practices, and facilities; nor permits race, color, national origin, religion, age, disability, veteran status, or sex discrimination and harassment in its admissions processes, and educational programs and activities. UNT System Administration promptly investigates complaints of discrimination, harassment, and related retaliation and takes remedial action when appropriate. System Administration also takes actions to prevent retaliation against individuals who oppose any form of harassment or discriminatory practice, file a charge or report, or testify, assist, or participate in a related investigation or proceeding.

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