Position: Senior Scientific Specialist 6149

This position is in the Scientific Applications and User Support Group at the Pittsburgh Supercomputing Center (PSC). The incumbent is responsible for developing and executing collaborative projects with leading scientists in his/her focus domain, aimed at the advancement of this field of science through supercomputer simulations. The successful candidate will provide computational support for the NIH MIDAS Center of Excellence for agent-based modeling of infectious disease spread (e.g. influenza). Particularly, the candidate will be working to develop parallel software for simulation and workflow management on supercomputers. Tasks include the creation of novel ideas, concepts, methods, algorithms and codes; implementing these in an optimal fashion on leading-edge scaleable supercomputing systems; helping to write winning grant proposals to fund these research activities; planning and executing outreach activities to publish and promote the scientific and technological progress that is being achieved. The incumbent is expected to help set the direction of PSC support for his/her scientific focus domain. Incumbent may be assigned other user support duties; examples are first-level and second-level support to assigned PSC users; developing, installing and maintaining software outside her/his scientific focus domain; teaching and organizing PSC workshops; and reviewing proposals for computer time.

Bachelor's degree in a computational science discipline or in computer science or equivalent combination of training and experience; Four or more years demonstrated success in applying parallel computer systems to the solution of research problems in computational science or engineering; Disciplinary scientific research background and skills, and very strong scientific programming skills using MPI, FORTRAN, C, and C++. Familiarity with major contemporary algorithmic approaches and third-party codes and packages in his/her scientific focus area. Demonstrated skills in using at least one distributed-memory and one shared-memory parallel system. Knowledge of code installation and maintenance tools and procedures. Good technical writing, code documentation, and public presentation skills; Normally sedentary position with some mobility; e.g., able to travel to other locations, able to present a lecture and to help during a training lab session; able to stay at a terminal and use a keyboard and mouse for extended periods; Usual office setting, close contact with computer monitor for long periods of time; Ability to prioritize and meet deadlines, ability to work under pressure and ability to stay calm and deal with difficult people or situations. Ability to give public presentations; Ability to interact and communicate very well with other people.

Master's degree or Ph.D. in a computational science discipline or in computer science; or an equivalent combination of training and experience; Five or more years of peer-recognized expertise in his/her field of computational science, as evidenced by publications, awards, and grants. Experience in epidemiological modeling is a plus; Working knowledge of web services programming, scientific visualization, and general discipline-specific graphical user interface development toolkits.

To apply submit your credentials online at http://www.cmu.edu/jobs/index.html. No applications will be accepted via email or snail mail.