Postdoctoral Research in Mathematical and Computational Modelling of Neglected Tropical Diseases
A Postdoctoral Research Fellow position is available immediately in the inter-disciplinary Global Epidemiology and Biostatistics Group led by Prof. Edwin Michael at the University of Notre Dame in the Department of Biological Sciences and the Eck Institute for Global Health, to develop new mathematical and computational frameworks for modeling neglected vector-borne macroparasitic infections, in partnership with IBM Healthcare Informatics, IBM Haifa Research Labs, Israel.
The successful candidate for the position must be proficient in mathematical model construction and analysis using both analytical and numerical methods, as well as have strong programming and computer science skills. Our current work includes vector-borne microparasitic and neglected macroparasitic models, and the successful candidate will be expected to work with group members and faculty within the Department of Biology, and at Applied Computational Mathematics and Statistics, the Department of Computer Science and Engineering, and the Center for Research Computing, in analyzing the dynamical properties and simulation of these models. Knowledge and application of data discover using machine learning and data-model assimilation methods will be important, as among key objectives of our work is the application of our models to diverse data to improve learning of disease dynamics, inform effective control and eradication strategies, and guide development of new computing approaches to discovery of models, data and interventions. The candidate will have an opportunity to work with our computation partner, IBM Healthcare Informatics, in developing a cognitive computational application based on machine learning algorithms to implement these methods and tools. We are looking for creative, self-motivated individuals with intellectual ability and aptitude to pursue challenging, computationally and mathematically complex problems in a fast paced research environment.
Suitable candidates should:
- Have completed a PhD or equivalent degree in biomathematics, infectious disease population biology, theoretical physics, or in computer science.
- Research experience in mathematical modelling of infectious disease transmission is essential.
- Experience with Bayesian statistical methods for model calibration is an advantage.
- Programming skills in Matlab and C and in parallel computing are essential, and experience with programming in R an advantage.
- Willingness to travel internationally is essential.
- Have strong written and oral communication skills, including the ability to publish research results and make scientific presentations.
- Be expected to contribute to projects and collaborate with faculty and students within the University and elsewhere.
- Have demonstrated ability to work independently under supervision, as well as within a team environment with a strong commitment to team-based processes and outcomes.
- Strong time management and organizational skills are essential.
Location: Notre Dame, Indiana, USA
Tenure: The position is available immediately for 1 year in the first instance, with the possibility of extension for another year.
Salary: Based on NIH guidelines for postdoctoral fellow salaries
ABOUT THE UNIVERSITY OF NOTRE DAME
The University of Notre Dame is committed to diversity in its staff, faculty, and student body. As such, we strongly encourage applications from members of minority groups, women, veterans, individuals with disabilities, and others who will enhance our community. The University of Notre Dame, an international Catholic research university, is an equal opportunity/affirmative action employer. Information on the Eck Institute for Global Health may be found at http://globalhealth.nd.edu.
Qualified individuals should send in PDF format a cover letter, curriculum vitae, statement of research interest, and three letters of reference to the search committee chair, Dr. Edwin Michael at firstname.lastname@example.org. Files must be clearly named and identify the position you are applying for. Review of applications will begin immediately upon receipt of applications and continue until suitable candidates are identified. For additional information about working at the University of Notre Dame and various benefits available to employees, please visit http://hr.nd.edu/employment/working_at_nd.shtml.