Erie, PA · On-site +1
Approval of remote and hybrid work is not guaranteed regardless of work location.For additional ... Analyze data using statistical, DOE, and/or machine-learning-informed approaches as appropriate.
Erie, PA · On-site +1
Approval of remote and hybrid work is not guaranteed regardless of work location.For additional ... Analyze data using statistical, DOE, and/or machine-learning-informed approaches as appropriate.
North East, PA · On-site +1
$105K - $127K/yr
Build and maintain Feature Stores and specialized datasets optimized for machine learning, ensuring ... LI-TS1 #remote Sedgwickis an Equal Opportunity Employer and a Drug-Free Workplace. If you're ...
North East, PA · On-site +1
$105K - $127K/yr
Build and maintain Feature Stores and specialized datasets optimized for machine learning, ensuring ... LI-TS1 #remote Sedgwickis an Equal Opportunity Employer and a Drug-Free Workplace. If you're ...
North East, PA · On-site +1
$105K - $127K/yr
Build and maintain Feature Stores and specialized datasets optimized for machine learning, ensuring ... LI-TS1 #remote Sedgwickis an Equal Opportunity Employer and a Drug-Free Workplace. If you're ...
North East, PA · On-site +1
$105K - $127K/yr
Build and maintain Feature Stores and specialized datasets optimized for machine learning, ensuring ... LI-TS1 #remote Sedgwickis an Equal Opportunity Employer and a Drug-Free Workplace. If you're ...
$24.7K - $30.2K
5% of jobs
$32.1K is the 25th percentile. Wages below this are outliers.
$30.2K - $35.7K
59% of jobs
$35.7K - $41.2K
9% of jobs
$41.6K is the 75th percentile. Wages above this are outliers.
$41.2K - $46.7K
17% of jobs
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4% of jobs
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2% of jobs
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0% of jobs
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0% of jobs
$24.7K
$41.3K
$85.3K
Machine learning is a method of analyzing data via automating analytical model building. The premise is that systems can learn from data. Machine learning positions include machine learning engineer, computer vision engineer, and senior deep learning engineer. In a remote machine learning job, you work from home in a branch of artificial intelligence performing duties related to computational processing and data. Your goal is to design models that solve business problems, such as helping organizations avoid unknown risks or find profitable opportunities. Your responsibilities include maintaining data pipelines, performing model research and implementation, building machine learning systems, and onboarding new utilities.
| Aspect | Remote Machine Learning | Data Scientist |
|---|---|---|
| Required Credentials | Bachelor's/Master's in CS, ML certifications | Bachelor's/Master's in CS, Statistics, or related field |
| Work Environment | Remote, collaborative teams, tech companies | Remote or on-site, diverse industries, analytics focus |
| Industry Usage | Tech, AI startups, research | Finance, healthcare, e-commerce, tech |
| Search & Comparison Intent | Often compared for technical roles in AI/ML | Broader data analysis roles, but overlapping skills |
Remote Machine Learning specialists focus on developing algorithms and models primarily in tech environments, often requiring advanced programming and ML knowledge. Data Scientists analyze data to extract insights, sometimes utilizing ML techniques. While both roles share skills and credentials, Remote Machine Learning emphasizes model development, whereas Data Scientists focus on data analysis and interpretation.
Erie, PA • On-site, Remote
Full-time
Posted 18 days ago
Approval of remote and hybrid work is not guaranteed regardless of work location.For additional information on remote work at Penn State, seeNotice to Out of State Applicants.
This is a term position; length of the term will be discussed during the interview process. Continuation past the termlengthdiscussed willbebasedonuniversityneed,performance,and/oravailabilityoffunding.POSITION SPECIFICS
The Department of Polymer Science, Engineering, and Technology at Penn State Behrend seeks a Postdoctoral Scholar to help establish a data-enabled autonomous polymer processing and interface engineering platform.
The position is led by Prof. YuanQiao Rao, whose research focuses on processing-structure-interface-property relationships in multi-material polymer systems, with applications in overmolded electronics, advanced manufacturing, coatings, and sustainable polymer processing. The lab operates at the intersection of experimental polymer science, data-driven process optimization, and industry-engaged research.
The successful candidate will work with faculty, students, and industry partners to develop experimental workflows connecting polymer materials, processing conditions, interface formation, characterization, and performance/reliability testing. The initial research direction is expected to focus on polymer/substrate interface reliability in overmolded electronics and composites, with possible extensions to coatings, membranes, and advanced polymer manufacturing.
The position is well suited for a candidate with a builder mindset who is excited by both scientific discovery and laboratory/platform development. The postdoctoral scholar will help design experimental workflows, establish processing and testing protocols, build data-management practices, mentor undergraduate students, and contribute to publications, proposals, and industry-facing technical reports.
Key ResponsibilitiesHelp establish a data-enabled polymer processing and characterization platform.
Design and execute experiments on processing-structure-interface-property relationships.
Develop DOE-based experimental plans for overmolding, composites, adhesion, and reliability studies.
Support setup of sensor-rich or semi-automated processing/testing workflows.
Develop SOPs for processing, testing, data capture, and sample handling.
Conduct mechanical, interfacial, surface, and failure analysis experiments.
Analyze data using statistical, DOE, and/or machine-learning-informed approaches as appropriate.
Mentor undergraduate students working on related projects.
Contribute to manuscripts, conference abstracts, technical reports, and external proposals.
Support industry engagement and laboratory demonstrations.
Ph.D.in polymer science, materials science and engineering, chemical engineering, mechanical engineering, manufacturing engineering, or a closely related field by the appointment start date.
Strong experimental background in at least one of the following areas:
polymer processing;
polymer interfaces or adhesion;
coatings or thin films;
composites or overmolding;
mechanical testing and failure analysis;
data-enabled manufacturing or automation.
Ability to work independently in a developing laboratory environment.
Strong written and oral communication skills.
Interest in mentoring undergraduate students.
Experience with injection molding, extrusion, coating, additive manufacturing, or related polymer processing methods.
Experience with adhesion testing, lap shear, peel testing, burst testing, leak testing, or fracture/failure analysis.
Experience with surface treatments such as plasma, silane chemistry, oxidation, primers, or surface cleaning protocols.
Experience with polymer/substrate interfaces, fiber-matrix interface, electronics packaging, or high-performance thermoplastics such as PPS, PEI, PEEK, LCP, or related materials.
Experience with DOE, statistical analysis, Python, LabVIEW, MATLAB, Arduino, PLCs, sensors, data acquisition, or machine-learning-assisted experimentation.
Experience with microscopy, FTIR, XPS, contact angle, DSC, TGA, DMA, rheology, or related characterization methods.
Demonstrated ability to build or improve experimental setups, workflows, or laboratory capabilities.
Start date: Flexible; Target start of Fall 2026 or Spring 2027. Earlier start dates may be considered for exceptional candidates. Review of applications will begin immediately and continue until the position is filled.
Applicants should submit:
Cover letter describing research experience, platform-building interests, and with qualifications for the position; Curriculum vitae; Research statement, preferably 2-3 pages, describing relevant experience and proposed contributions to autonomous polymer processing/interface engineering; Contact information for three references; Optional: one representative publication or technical report.
System limitations allow for a total of 5 documents (5mb per document) as part of your application. Please combine materials to meet the 5-document limit.
About Penn State Behrend and PSETPenn State Behrend is a residential campus of The Pennsylvania State University located in Erie, Pennsylvania. The Department of Polymer Science, Engineering, and Technology (PSET) is a newly merged, growing department with strong industry connections in the Erie region and beyond, active partnerships with companies including RTP, Autodesk, Kyocera, Plastikos, and Poseidon, and a commitment to building a data-enabled polymer manufacturing research platform.
For questions about the position, please contact Prof. YuanQiao Rao at yuanrao@psu.edu.
BACKGROUND CHECKS/CLEARANCES
Employment with the University will require successful completion of background check(s) in accordance with University policies.BENEFITS
Penn State provides a competitive benefits package for full-time employees designed to support both personal and professional well-being.For more detailed information, please visit ourBenefits Page. (Note: For Postdoctoral benefits, please see our Postdoctoral Benefits page.)
CAMPUS SECURITY CRIME STATISTICS
Pursuant to the Jeanne Clery Disclosure of Campus Security Policy and Campus Crime Statistics Act and the Pennsylvania Act of 1988, Penn State publishes a combined Annual Security and Annual Fire Safety Report (ASR). The ASR includes crime statistics and institutional policies concerning campus security, such as those concerning alcohol and drug use, crime prevention, the reporting of crimes, sexual assault, and other matters. The ASR is available for review here.
EEO IS THE LAW
Penn State is an equal opportunity employer and is committed to providing employment opportunities to all qualified applicants without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. If you are unable to use our online application process due to an impairment or disability, please contact 814-865-1473.
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Pennsylvania State University, often referred to as Penn State, is a major, public, research-intensive university located in University Park, PA, US. This esteemed institution serves as an important player within the education industry, offering a plethora of academic programs across various disciplines. The university was founded in 1855 with the mission to provide quality education, advanced research, and service to society. Penn State holds firmly to values of integrity, respect, and excellence, fostering a diverse and inclusive community. The university is renowned for its research productivity and its high-ranking programs in areas like engineering, business, and education. One notable achievement of the institution is its designation as a "R1: Doctoral Universities – Very high research activity," demonstrating its commitment to scholarship and discovery.
Education
11 - 50 Employees
University Park, PA, US
1855
