Please go to https://iujobs.peopleadmin.com/ to apply!
6216 - Research Scientist, Indiana University Network Science Institute (IUNI) - Direct link to PeopleAdmin
The Indiana University Network Science Institute (IUNI) seeks applicants for an Assistant Research Scientist position. This position will be appointed for a two-year term with the possibility of renewal based on exemplary performance, programmatic need, and continued funding of the position.
Scientific areas of particular interest include: (1) Analysis and modeling of networks, ideally using both analytical and computational tools; (2) Dynamical processes on networks, especially multilevel biomedical and social networks; (3) computational social science, where massive data from social media is analyzed to answer fundamental questions about individuals and society, with applications spanning from health to political science; (4) science of science, where large scholarly databases are built, analyzed, and modeled to explore topics such as the emergence of scientific fields, the diffusion of knowledge and expertise, the adoption of innovations, the definition of novelty, the prediction of scholarly and societal impact.
The ideal candidate will have completed a PhD in physics, applied math, engineering, computer science or information science and have a strong background and experience in network science and data science. To employ theoretical, empirical, and mixed methods, the researcher will need both analytical/modeling skills and the technical capabilities to deal with big data.
2939 - Assistant Scientist, IU Network Science Institute (Systems Biology) - Direct link to PeopleAdmin
Indiana University is making a multi-year, multi-million dollar investment to create and expand the infrastructure for research and training in network science through the establishment of the Indiana University Network Science Institute (IUNI).
IUNI seeks applicants for an Assistant Research Scientist. This position will be appointed for a one-year term with the possibility of renewal based on exemplary performance and anticipated continued funding. Qualified candidates will have completed a PhD in systems or computational biology, bioinformatics, network science, complex systems, or a related discipline with a focus on biological systems.
The primary role of this position is to collaboratively conduct research and technical activities in systems biology bridging network science approaches and human health. Special opportunities and data sets are available in the application to brain structure, connectivity and function as applied to aging and cognition including Alzheimer’s disease. Related opportunities include access to “multiple–omics” data sets including next generation sequencing, transcriptome, proteomic, metabolomic and other data sets in relation to electronic medical records, brain imaging and social network phenotypes. However the expertise and methodological skills we seek are broadly applicable to many problem areas in computational biology and bioinformatics, data science, machine learning, knowledge engineering, data science, computational social science and social network analysis that involve biological systems, carried out as part of the Institute’s research mission. These activities focus particularly on the research hubs called Health and/or Health Care, which focus on how network connections from genes to individual brains to global culture influence health, illness/disease, and biological systems from individuals to population outcomes. This research core will involve both targeted data sets and large-scale networks. Core activities will involve data analysis and modeling using available network tools, as well as the design of new methodologies and data processing routines. A key function of the position is to effectively interface research efforts at the Institute with those going on in other IU schools and campuses especially the IU School of Medicine (IUSM) and to promote the overall goals of IUNI. This position will be housed in Indianapolis at the IU School of Medicine.
Qualified candidates will have completed a PhD in systems or computational biology, bioinformatics, network science, complex systems, or a related discipline with a focus on biological systems.