Biomedical Engineering and Engineering Science and Mechanics Faculty for Data Sciences/Machine Learning Applied to Biological/Health Sciences


Pennsylvania State University
Departments of Engineering Science and Mechanics and Biomedical Engineering

Biomedical Engineering and Engineering Science and Mechanics Faculty for Data Sciences/Machine Learning Applied to Biological/Health Sciences

Position: The Departments of Engineering Science and Mechanics (ESM) and Biomedical Engineering (BME) at the Pennsylvania State University in University Park, PA seek applicants for a tenure-track/tenured faculty position (Assistant, Associate, or Full Professor) with expertise at the forefront of Data Sciences or Machine Learning with application to biological or health sciences.

This position is a co-hire between BME (bme.psu.edu) and ESM (esm.psu.edu). Both departments foster a highly interdisciplinary environment, promote collaborations across the engineering disciplines, materials sciences, mechanics, chemistry, physics, mathematics, and biological sciences. Faculty in both departments utilize traditional engineering principles and technology with medicine for the betterment of human health and society. This position is at the assistant professor level, but higher ranks will be considered.

Research Expectations: The successful candidates will have demonstrated expertise developing modern machine learning and/or data sciences methods and successfully applying them to impactfully advance biological or health sciences. Research synergy with faculty in both departments will be viewed positively and may occur in neural engineering, neural data sciences, cardiovascular research, cancer related research, biomechanics, biomimetics, mechanobiology, personalized health and wearable technologies. Example topics of interest include but are not limited to: Physics informed machine learning; forecasting dynamical systems and biological networks, modeling and observing cognition, analysis and modeling of large-scale multi-modal neuro-electrophysiological data; design and optimization of treatments for neural, cardiovascular, inflammatory or cancer related diseases; machine learning integration into biodevices; molecular or multi-scale materials design.

Teaching Expectations: The successful candidate will be expected to support the educational efforts in both ESM and BME, to develop coursework targeted to enhancing data science training in our engineering education and enhance data science integration in our research.

DEIB Expectations: Diversity, equity, inclusion and belonging (DEIB) are central to Penn State’s obligation and commitment as a public institution of higher education to provide effective teaching for all people in our communities. The successful candidate will have a demonstrated commitment to enhancing diversity and will be expected to support and enhance the efforts in ESM and BME in advancing the University’s DEIB efforts (https://strategicplan.psu.edu/plan/foundations/inclusion-equity-diversity/).

Institutes and Centers: Cross-disciplinary and cross-departmental collaborations are encouraged at Penn State. This position is envisioned to synergize with research centers designed to foster such collaborations including those within the Institute for Computational and Data Sciences (icds.psu.edu, including CENSAI), Materials Research Institute (MRI.psu.edu), the Huck Institutes of the Life Sciences (Huck.psu.edu, including CIDD, C-MOST, Bioinformatics and Genomics), the College of Medicine, and the Center for Neural Engineering (cne.psu.edu).

Penn State College of Engineering: Penn State’s College of Engineering is committed to creating a diverse and welcoming community that is pursuing engineering education, research, and community engagement with the power to inspire change and impact tomorrow. The college is also committed to work-life balance, a strong appreciation for diversity and inclusion, and family- friendly programs for faculty. We seek faculty candidates who share our vision and want to make an impact with their careers.

Qualifications: Required qualifications include a Ph.D. in an engineering science or biomedical engineering related discipline by the hire date, and a strong track record of accomplishments in research and teaching commensurate with rank of the candidate defined by PSU policy AC21 (https://policy.psu.edu/policies/ac21#D). Applicants at Associate Professor level should have well established teaching and independent research lines and international recognition. Applicants at the full professor level should more substantial advanced research portfolio and will be expected to take leadership roles in research at the university. Nominations and applications will be screened immediately and considered until the position is filled.

Application Process: Applicants should submit, in one PDF file: (1) cover letter summarizing impact in advancing data sciences/machine learning methods; impact in a biological/health sciences; as well as synergies within the ESM and/or BME departments (2) curriculum vitae, (3) statements of demonstrated contributions and plans for (A) research, (B) teaching, and (C) diversity, equity, inclusion and belonging, (4) links to three relevant publications, and (5) names and addresses of four references; to REQ_0000036738.

Application review will begin immediately and will continue until the position is filled. The expected start date is August 15, 2023.

Inquiries: Inquiries can be directed to either of the search co-chairs Dr. Bruce Gluckman or Dr. Justin Pritchard, ESM_BME_DataSciencesSearch@psu.edu

Apply online at https://apptrkr.com/3549357

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Penn State is an equal opportunity, affirmative action 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.