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Postdoc in Cognitive/ Vision Science at Lehigh University


Posté par : Corinne Grusenmeyer,
le 29 Janvier 2018



Postdoctoral Positions Nano/Human Interfaces Initiative

Applications are invited for four postdoctoral positions at Lehigh University as part of its new Nano/Human Interfaces (NHI) Initiative. Inspired by the National Science Foundation’s “big ideas” for research in the coming decade, Lehigh has established a presidential-level initiative to work at the human-technology frontier, harnessing big data in support of 21st Century Science and Engineering(https://www1.lehigh.edu/news/nanohuman-interface).
The Lehigh NHI Initiative aims to develop new approaches to the science of nanoscale materials interfaces by exploring and exploiting data analytics, machine learning, and human-machine interfaces. We specifically target problems of materials interfaces that are inherently data intensive and require fundamentally new methods for visualizing and interpreting vast amount of data. Our larger goal is to explore data-based methods that will lead the next revolution in the conduct of science, namely drawing inferences from large datasets whether experimentally or computationally generated.

We seek four outstanding candidates in the following interdisciplinary areas who will comprise a highly-collaborative team that will work to advance this exciting initiative.

• Biological Macromolecules at Interfaces

This researcher will combine data analytic, experimental and computer simulation methods to discover functional biological macromolecule sequences at interfaces. Successful applicants will bring some combination of the following skills: data analytics, machine learning, bioinformatics, biomolecular engineering, and bioengineering, and will be expected to work collaboratively with PIs at Lehigh and with external partners.

• Multiscale Electron Microscopy for Materials Characterization

This researcher will actively explore interfaces in nanocrystalline materials by the development of new methods of big-data acquisition and by the analysis of sequential images, diffraction patterns and spectrometric data sets. In addition, in partnership with data scientists, this researcher will explore novel approaches to visualizing big data sets generated by advanced aberration-corrected microscopy with the aim of developing an interactive, computer-assisted data acquisition and analysis capability.

• Cognitive and/or Vision Science

This researcher will apply techniques in cognitive control, attention, and/or visual cognition to investigate the inherent limits in cognitive mechanisms that inform the optimal design and presentation of multidimensional data. As a corollary, we wish to determine how conducting research within a complex, real-world work environment can serve to advance the basic understanding of cognitive processes. The position will include opportunities to gain experience in multidisciplinary and use-inspired basic research, to build skills in data analytics and machine learning, and to receive training in scientific communication, grant writing, team management and mentoring. Experience with eye tracking techniques and a strong programming background are highly desirable.

• Data Science and Human/Computer Interactions

This researcher will apply techniques in Machine Learning/Data Science, as well as in the analysis of imaging/geometric data, to develop novel techniques that prevent crucial observations in data sets from being overlooked or to enable non-computational researchers to explore interactively large, multidimensional multiresolution image data. It is expected that applicants will have significant first author publications in data science, machine learning, image recognition, or a related topic.

Successful applicants will have a Ph.D. in a relevant field of the physical sciences, engineering, applied mathematics and/or cognitive psychology and the cognitive sciences. In addition, demonstrated proficiency in verbal and written communication skills and the ability to work in a collaborative, multidisciplinary team are required. Interested applicants should prepare a cover letter, curriculum vita, a brief statement of research accomplishments and contact information for at least three references. Compensation will be commensurate with experience. Review of applications will begin immediately and will continue until the positions are filled. Please email completed application materials to Ms. Sue Stetler, Department of Materials Science and Engineering, Whitaker Laboratory, Lehigh University, Bethlehem PA 18017 (USA) sls4@lehigh.edu.

Lehigh University is an affirmative action/equal opportunity employer and does not discriminate on the basis of age, color, disability, gender, gender identity, genetic information, marital status, national or ethnic origin, race, religion, sexual orientation, or veteran status. Lehigh University is a 2010 recipient of an NSF ADVANCE Institutional Transformation Grant for promoting the careers of women in academic science and engineering. Lehigh University provides comprehensive benefits including domestic partner benefits (see also http://www.lehigh.edu/worklifebalance/). Lehigh Valley Inter-regional Networking & Connecting (LINC) is a newly created regional network of diverse organizations designed to assist new hires with dual career, community and cultural transition needs. Please contact infdcap@lehigh.edu for more information.

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