The Center for the Environmental Implications of NanoTechnology (CEINT) is seeking a post-doctoral researcher with computer modeling and web tool development experience to work on nanoinformatics projects in the context of environmental engineering/environmental science.
Nanoinformatics is an emerging field combining nanoscience and engineering with data science approaches to integrate and analyze disparate datasets, in this case in pursuit of enabling predictive modeling of nanoparticle release, transport, transformations, biouptake and effects in environmental and biotic compartments.
This position offers the opportunity to play an important role in laying groundwork for a new field, drawing on the expertise and lessons from more data-mature fields such as bioinformatics, while embracing system complexity, parameter heterogeneity and pervasive uncertainty. The person in this role will have access to significant opportunities for international collaboration and global visibility within the nanoinformatics field. The candidate must excel at clear communication both in conversation and in writing, as the position will involve integration of data across diverse groups spanning disciplinary boundaries and geographical distances.
The ideal candidate would be a broadly trained individual with an interdisciplinary data science background and research experience in the following areas: Web application programming skills, programming in Matlab and C++/Fortran, relational database design and associated skills in importing and manipulating large data sets from a variety of formats, and advanced Excel skills.
Experience with modeling or analysis of nanomaterial, chemical and/or environmental study datasets is especially welcome, as are skillsets in numerical modeling, probabilistic modeling, and design and utilization of Bayesian Networks.
Please send CV, statement of research interests, graduate transcripts, and the names and addresses of three references to: Dr. Mark R. Wiesner, wiesner@duke.edu.
