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Weekend Machine Learning Postdoc Jobs in Illinois

University of Utah

Post Doc Res Assoc

Campus, IL

$65K - $73K/yr

Building on our leadership in microprotein discovery and function, we are now expanding in Utah to recruit multiple postdoctoral fellows to apply high throughput methods and machine/deep learning to ...

University of Utah

Post Doc Res Assoc

Campus, IL

$65K - $73K/yr

Building on our leadership in microprotein discovery and function, we are now expanding in Utah to recruit multiple postdoctoral fellows to apply high throughput methods and machine/deep learning to ...

University of Utah

Post Doc Res Assoc

Campus, IL

$65K - $73K/yr

Building on our leadership in microprotein discovery and function, we are now expanding in Utah to recruit multiple postdoctoral fellows to apply high throughput methods and machine/deep learning to ...

EVOZYNE INC

Applied AI Research Fellow

Chicago, IL · On-site

Late-stage PhD student or postdoc in a quantitative or computational field * Hands-on experience ... Familiarity with modern machine learning approaches (e.g., deep learning, generative models, or ...

Epiq

Advanced Technologies Consultant

Chicago, IL

$110K - $135K/yr

This role requires the ability to manage multiple projects concurrently; evening and weekend work ... Experience with Technology-Assisted Review (TAR) using machine learning and/or GenAI tools in an e ...

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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 the most commonly searched types of Machine Learning Postdoc jobs in Illinois? The most popular types of Machine Learning Postdoc jobs in Illinois are:
What are popular job titles related to Weekend Machine Learning Postdoc jobs in Illinois? For Weekend Machine Learning Postdoc jobs in Illinois, the most frequently searched job titles are:
What job categories do people searching Weekend Machine Learning Postdoc jobs in Illinois look for? The top searched job categories for Weekend Machine Learning Postdoc jobs in Illinois are:
What cities in Illinois are hiring for Weekend Machine Learning Postdoc jobs? Cities in Illinois with the most Weekend Machine Learning Postdoc job openings:
Weekend Machine Learning Postdoc jobs near you
Postdoctoral Appointee: Researcher - Advanced Material and Membrane Development for Energy Storag...

Postdoctoral Appointee: Researcher - Advanced Material and Membrane Development for Energy Storag...

Argonne National Laboratory

Lemont, IL • On-site

$72K - $121K/yr

Full-time

Posted 16 days ago

Job description

The Nanocomposite Materials and Membrane Manufacturing group in the Applied Materials Division (AMD) has an opening for a postdoctoral researcher to develop materials, membranes, and fabrication processes for energy storage applications. The researcher is expected to use solution-based synthesis approaches (e.g., electrospinning, slot-die coating, and 3D printing) to fabricate battery electrodes and solid electrolytes. We are seeking candidates who will be able to design experiments and develop methodologies to design material compositions, ink rheological properties, and coating and drying process conditions to fabricate membrane components with desired physics and ionic transport properties.
As part of the Materials Engineering Research Facilities (MERF), the Nanocomposite Materials and Membrane Manufacturing group perform science-based membrane synthesis and scaleup development by using roll-to-roll manufacturing and machine learning enabled in-line characterization and quality control methods. The group works closely with industry partners and academic collaborators to address real-world manufacturing challenges and develop next-generation energy-storage and conversion solutions.
The candidate will work within a multidisciplinary team with researchers at MERF and collaborators inside and outside Argonne. The candidate is expected to design and conduct experiments, analyze data and explore mechanisms behind the experimental observations, prepare technical reports and manuscripts, and support future project applications.
Major Duties / Responsibilities:
  • Explore optimum synthesis conditions for battery electrolyte material, solid-state electrolyte film, and membrane electrode fabrication.
  • Formulate slurry to achieve desirable processibility for coating and printing.
  • Study the coating and drying conditions to control membrane microstructures and transport properties.
  • Design electrodes, electrolyte, and interfacial layers for solid-state batteries.
  • Characterize mass transport phenomenon.
  • Develop techniques and strategies for electrochemical measurements and post-mortem analysis.
  • Write reports and high impact papers, and present research at conferences.
  • Develop or support the development of collaborations with academia and industry.

Position Requirements
  • Recent or soon-to-be-completed PhD (typically completed within the last 0-5 years) in chemical engineering, material science, or related fields.
  • Demonstrated knowledge in materials synthesis and characterization.
  • Demonstrated knowledge in battery (e.g., lithium ion, solid-state, sodium ion, lithium air, lithium sulfur, etc.).
  • Demonstrated knowledge of transport property study.
  • Experience in ink synthesis and characterization.
  • Experience in coating, printing, or any other wet-chemistry deposition techniques.
  • Experience using analytical tools, such as X-ray diffraction, electron microscopy (SEM and TEM), spectroscopy (FTIR and Raman), and electrochemical (EIS and battery cycler).
  • Publication record with excellent written and oral communication skills.
  • Ability/aptitude to contribute to proposal writing, write reports, and publish journal papers and patents.
  • A successful candidate must model Argonne's Core Values: Impact, Safety, Respect, Integrity, and Teamwork.
  • This position requires on-site presence at the Argonne campus in Lemont, Illinois, 5 days per week.
  • Skilled oral, written, and interpersonal communication skills.

Preferred Qualifications:
  • Experience with blade casting or slot-die coating.
  • Experience with electrospinning.
  • Experience with aerosol jet printing or 3D printing.
  • Highly self-motivated candidate who demonstrates creative and proactive approaches towards scientific problem solving as evidenced by publications and recommendations.
  • Proven track record showing the ability to carry out independent and collaborative research in a multidisciplinary team while meeting project milestones and deadlines.

Job Family
Postdoctoral
Job Profile
Postdoctoral Appointee
Worker Type
Long-Term (Fixed Term)
Time Type
Full time
The expected hiring range for this position is $72,879.00-$121,465.00.
Please note that the pay range information is a general guideline only. The pay offered to a selected candidate will be determined based on factors such as, but not limited to, the scope and responsibilities of the position, the qualifications of the selected candidate, business considerations, internal equity, and external market pay for comparable jobs. Additionally, comprehensive benefits are part of the total rewards package.
Click here to view Argonne employee benefits!
As an equal employment opportunity employer, and in accordance with our core values of impact, safety, respect, integrity and teamwork, Argonne National Laboratory is committed to a safe and welcoming workplace that fosters collaborative scientific discovery and innovation. Argonne encourages everyone to apply for employment. Argonne is committed to nondiscrimination and considers all qualified applicants for employment without regard to any characteristic protected by law.
Argonne employees, and certain guest researchers and contractors, are subject to particular restrictions related to participation in Foreign Government Sponsored or Affiliated Activities, as defined and detailed in United States Department of Energy Order 486.1A. You will be asked to disclose any such participation in the application phase for review by Argonne's Legal Department.
All Argonne offers of employment are contingent upon a background check that includes an assessment of criminal conviction history conducted on an individualized and case-by-case basis. Please be advised that Argonne positions require upon hire (or may require in the future) for the individual be to obtain a government access authorization that involves additional background check requirements. Failure to obtain or maintain such government access authorization could result in the withdrawal of a job offer or future termination of employment.

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