Applications are invited for Postdoctoral Fellowships (renewable) and funded Graduate Student Positions
in Risk Analytics and High Performance Computing (HPC) under the supervision of Dr. Andrew RauChaplin from Faculty of Computer Science at Dalhousie University. The research focuses on two
intertwined research themes, namely, the design of 1) scenario-based catastrophic risk models and 2)
analytical systems for the management and analysis of portfolios of catastrophic risk.
Candidates with one or more of the following research interests are encouraged to apply:
 Catastrophe Modeling for Wind, Earthquake or Flood Risk, or
 Mathematical Modeling, Simulation, and Optimization, or
 High Performance Computing – Applications for Clusters and Clouds
Successful candidates for the Post Doctoral Positions will hold a recent Ph.D. in Computer Science,
Mathematics, Statistics, Engineering, or a related science. They will have experience working on
modeling, stochastic simulation, optimization, or HPC oriented projects, and strong algorithm design,
implementation, and evaluation skills. We are seeking individuals who can bring strong technical skills
and enthusiasm to an area of research ripe for innovation and who will be able to integrate well into a
larger team. Knowledge of reinsurance is not required. Of key importance is a candidate’s willingness and
ability to come up the learning curve quickly in areas she or he has not been previously exposed to.
These positions are made possible in large part by FlagstoneRe, a global reinsurance company that
focuses on specialty and property catastrophe reinsurance. The postdoctoral fellows will work closely
with the supervisor (Dr. Rau-Chaplin), and members of FlagstoneRe’s research, analytics, and HPC
teams. Flagstone Re values highly motivated individuals with strong team spirit and high research
standards who can balance theoretical concerns and practical issues.
Applicants should send a full Curriculum Vitae, letters from two referees and a cover letter highlighting
their prior achievements and a brief summary of their statement of their interest and experience in this
area. Electronic submissions are encouraged. Applicants are strongly encouraged to contact Dr. RauChaplin as early as possible to express interest and to ask any questions. Applications will be considered
until the positions are filled.
All qualified candidates are encouraged to apply; however, Canadians and permanent residents will be
given priority. Dalhousie University is an Employment Equity/Affirmative Action employer. The
University encourages applications from qualified Aboriginal people, persons with a disability, racially
visible persons and women. Applications for postdoctoral positions are accepted subject to funding.
Dr. Andrew Rau-Chaplin (arc [at] cs.dal.ca)
Faculty of Computer Science
Dalhousie University
www.cs.dal.ca/~arc