ZipRecruiter

Log In

1

Weekend Machine Learning Postdoc Jobs in Euless, TX

next page

Showing results 1-20

All JobsMachine Learning Postdoc JobsWeekend Machine Learning Postdoc JobsWeekend Machine Learning Postdoc Jobs in Euless, TX

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 job categories do people searching Weekend Machine Learning Postdoc jobs in Euless, TX look for? The top searched job categories for Weekend Machine Learning Postdoc jobs in Euless, TX are:
Weekend Machine Learning Postdoc jobs near you
Postdoctoral Research Associate - CAAAM

Postdoctoral Research Associate - CAAAM

University of North Texas System

Denton, TX • On-site

Full-time

Re-posted 23 hours ago

Job description

Title: Postdoctoral Research Associate - CAAAM

Employee Classification: Postdoctoral Research Assoc

Campus: University of North Texas

Division: UNT-Research & Innovation

SubDivision-Department: UNT-Research & Innovation

Department: UNT-Ctr Agile & Adaptive Add. Mfg-190405

Job Location: Denton

Salary: Compensation is competitive and commensurate with the candidate’s qualifications, experience, and discipline, in accordance with university guidelines and available funding.

FTE: 1.00

Retirement Eligibility: ORP 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

CAAAM is the Center for Agile and Adaptive Additive Manufacturing. CAAAM looks at additive manufacturing, which includes materials, science, cybersecurity, data analytics, logistics, and supply chain.
Established in 2019 by the Texas State Legislature with $10 million in funding and recently renewed through 2025, CAAAM conducts next-generation research, education, and workforce training in additive manufacturing. CAAAM's Institute for Transformative Education in Additive Manufacturing-or ITEAM-provides courses, seminars, workshops, symposia, in-lab training sessions, and summer camps for industry and community colleges.
UNT has a highly diverse campus with a wide range of languages spoken in addition to English. We welcome candidates who have experience with HSI/MSIs and/or who speak Spanish, Vietnamese, American Sign Language, Chinese (Cantonese, Mandarin and other variations), Arabic, Tagalog, Farsi, French, or/and Yoruba.

Position Overview

UNT's Center for Agile and Adaptive Additive Manufacturing (CAAAM) is searching for a postdoctoral scientist to work with existing experimental setups and develop methods for in-situ diagnostic and monitoring additive manufacturing (AM) processes toward the 3D printing of metal alloys and ceramics. The successful candidate will use optical and acoustic imaging and spectroscopic tools to monitor AM processing of metal alloy and ceramic powders using direct energy deposition and powder bed laser sintering. Familiarity with one or more material diagnostic techniques such as infrared imaging and spectroscopy, thermal imaging, Raman spectroscopy for metals and ceramics, plasma emission spectroscopy, non-destructive ultrasonic spectroscopy and testing of materials, transient laser spectroscopy as well as other diagnostic methods will be preferred. The candidate will assist in advancing necessary instrumentation for data collection and analysis, integrating process diagnostics with closed-loop process control of AM platforms, and work with fellow researchers to implement machine learning algorithms based on in-situ data collection and analysis.

Minimum Qualifications

Ph.D. in Electrical Engineering, Mechanical Engineering, Materials Engineering, Physics or closely related field.

Preferred Qualifications

Ph.D. in Electrical Engineering, Mechanical Engineering, Materials Engineering, Physics or closely related field and hands on experience with infrared imaging, spectroscopic and/or acoustic diagnostic methods and process control instrumentation.

Required License/Registration/Certifications

Job Duties

  • Conduct experiments, gather data, document research notes, code and analyze data, interpret data.
  • Prepare manuscripts for publications in a timely manner and talks and posters for presentation at group meetings and conferences. Assist with reporting of research progress to funding agencies.
  • Keep up with historical and latest research data and publications.
  • Stay up-to-date with all trainings, and federal, state, university and department requirements. 

Physical Requirements

Communicating with others to exchange information.

Environmental Hazards

No adverse environmental conditions expected.

Work Schedule

varies based on assignment

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.

Apply