The Network Dynamics and Simulation Science Laboratory (NDSSL) invites applications for postdoctoral associates in the fields of high performance computing, data analytics and statistics. NDSSL is part of the Biocomplexity Institute of Virginia Tech, and is a world-class group of interdisciplinary researchers who develop synthetic information systems and associated analytical methods for studying large-scale complex socio-technical systems. The emphasis is real-time team science with direct implications to policy-making, while also contributing to the scientific literature in a significant way. Please see https://www.bi.vt.edu/ndssl/research for more details on some of NDSSL’s research projects.
Applications will be considered immediately until position(s) are filled. Please send your CV and a research statement to: Henning Mortveit (firstname.lastname@example.org) or Anil Vullikanti (email@example.com).
We welcome applications in the following areas.
- High Performance Computing: this includes areas related to the design and implementation of network algorithms and agent-based simulations for biological and socio-technical systems in current as well as emerging models of high performance computing.
- Data and Network Analytics and Statistics: this includes the areas of very large-scale data mining and analysis, statistics, social network analysis, database theory, streaming algorithms, machine learning, visualization, as well as working with Big Data tools such as Hadoop and Spark.
A successful postdoctoral applicant will:
– Possess a strong academic record during their PhD with publications in high impact journals/conferences.
– Exhibit excellent oral and written communication skills.
– Be a strongly motivated, enthusiastic and self-driven individual who excels in a highly collaborative environment.
Aptitude for creative problem solving would be encouraged.
During their stay in the group the postdoctoral scholars will be expected to work on both theoretical and applied aspects of real-world problems arising in a number of areas, including public health, social science and systems biology. They are expected to publish high quality research in high impact venues, and will have opportunity to collaborate in highly multi-disciplinary teams.