Job summary
Job post source
This job is directly from Drexel University
Job overview
The Post-Doctoral Research Fellow at Drexel University works on developing next-generation textiles with enhanced functionality, focusing on mechanical characterization and AI-driven digital twin models for textiles.
Responsibilities and impact
The fellow will conduct research on manufacturing impacts on textile performance, develop software modeling tools, collaborate with AI/ML teams, participate in meetings, write reports, and contribute to grant proposals and manuscript writing.
Compensation and benefits
The position offers a salary range of $54,630 to $81,940 per year, typically aligned with the minimum to midrange based on qualifications, along with benefits detailed in Drexel's Benefits Brochure.
Experience and skills
Candidates must have a PhD in Physics, Mechanical Engineering, or related fields, proficiency in Abaqus, SolidWorks, MatLab, Mathematica, Python, knowledge of textiles and fabrication processes, strong analytical skills, and excellent communication abilities; experience with fabrication tools and mechanical testing is preferred.
Career development
Opportunities include leading project efforts, contributing to project plans and proposals, and supervising staff or students, fostering professional growth within a collaborative R&D environment.
Work environment and culture
The role requires collaboration in a transdisciplinary team within an in-person university setting, emphasizing professionalism, communication, and teamwork under pressure.
Company information
Drexel University hosts the Center for Functional Fabrics at the Pennsylvania Fabric Discovery Center, focusing on innovative textile research and development.
Team overview
The candidate will join the Innovation Team working closely with subject matter experts and AI/ML teams in a collaborative research environment.
Job location and travel
The position is located in University City, Philadelphia, PA, and is an in-person role.
Application process
Applicants must upload a CV/resume and cover letter; review of candidates begins once a suitable pool is identified.
Unique job features
The role involves working on cutting-edge textile research involving AI-driven digital twins and realistic fabric simulation, with access to advanced fabrication and testing equipment.
Company overview
Drexel University is a private research university located in Philadelphia, Pennsylvania, known for its cooperative education program that integrates professional work experience with academic study. Founded in 1891 by financier and philanthropist Anthony J. Drexel, the university offers over 200 degree programs across 15 colleges and schools. Drexel generates revenue through tuition, research grants, and partnerships with industry leaders. The university's emphasis on experiential learning and its robust network of corporate partners provide students with valuable real-world experience, making it a leader in career-focused education.
How to land this job
Tailor your resume to emphasize your expertise in mechanical characterization of fibers, yarns, and fabrics, along with your proficiency in computer programs like Abaqus, SolidWorks, MatLab, Mathematica, and Python as highlighted in the job description at Drexel University.
Highlight your experience or strong interest in AI-driven modeling and digital twin creation for textiles, showcasing any relevant analytical and modeling skills and collaborative R&D work.
Apply through multiple platforms including Drexel University's official career portal and LinkedIn to maximize your application visibility and ensure it reaches the hiring team effectively.
Connect on LinkedIn with members of Drexel University's Center for Functional Fabrics or the Pennsylvania Fabric Discovery Center, using ice breakers such as asking about recent projects on next-generation textiles or expressing enthusiasm about the integration of AI in textile innovation.
Optimize your resume for ATS by incorporating key phrases from the job description like 'mechanical characterization,' 'digital twin,' 'AI-driven models,' 'textile fabrication processes,' and specific software names to ensure your resume passes automated screenings.
Leverage Jennie Johnson's Power Apply feature to automate tailored applications, identify the best channels to apply, and find relevant Drexel University contacts for networking, allowing you to focus your time on preparing for interviews and advancing your research career.
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