The Complex Adaptive Systems and Computational Intelligence (CASCI) lab at the Systems Science and Industrial Engineering Department, Binghamton University (State University of New York) is accepting applications for one or more full-time non-tenure track postdoctoral fellows to conduct interdisciplinary research in Complex Networks and Systems applied to various social, ecological, biological, medicine and health problems.
Recent projects at the lab, funded by NIH, NSF, and FCT, Include:
- Studying control, robustness and evolvability of network dynamics (10.1073/pnas.2022598118, 10.1038/srep24456), by understanding and using redundancy in complex networks and systems, including brain, biochemical, social and technological networks (10.1098/rsif.2021.0659, 0.1093/comnet/cnab021, 10.1371/journal.pone.0128193).
- Mining social media data, literature, and biomedical databases for pharmacological events, disease signals, and health-related behavior (10.1146/annurev-biodatasci-030320-040844, arXiv:2201.07552, 10.1038/s41598-017, 10.1002/cpt.1745, /10.1371/journal.pone.0122199) including gender and age biases (10.1038/s41746-019-0141-x).
The appointments are full-time for 12 months, with potential to be extended an additional year subject to funding and satisfactory performance. We offer a competitive salary with generous benefits.
The postdocs will be supervised by Prof. Luis M Rocha and join a dynamic and interdisciplinary team embedded in the cross-university Center for Social and Biomedical Complexity (CSBC) and the Center for Collective Dynamics of Complex Systems (CoCo) that includes systems scientists, biologists, computer scientists, and social scientists. Please contact him for further information.
Basic Qualifications: A PhD is required in Complex Systems, Network Science, Computer or Computational Science, Computational Biology, Applied Mathematics, Physics, Statistics, Artificial Intelligence or related field; a strong background in analysis and modeling of complex systems and networks; and solid programming skills necessary to handle big data and develop large scale simulations. ABD (all but dissertation) candidates may apply but will need the Ph.D. prior to start.