PhD in mathematical/computational modeling of infectious disease

The Ndeffo Lab (based at the College of Veterinary Medicine and Biomedical Sciences at Texas A&M University) has a position available for a Ph.D. student with strong interest in mathematical/computational modeling of infectious disease epidemiology and decision support tools.
Research in Dr. Ndeffo’s group focuses on tackling important and applied problems in public health and infectious disease epidemiology using data-driven mathematical, computational, and statistical models. Previous and current research projects span a wide range of diseases, public and global health questions. Given the wide range of problems tackled by this group, there is considerable flexibility regarding the specific research project. Potential projects may focus on COVID-19 modeling, Neglected Tropical Diseases (e.g. schistosomiasis), vector-borne diseases, vaccine preventable diseases.

Qualifications and skills
Enthusiastic graduate in epidemiology, biology, mathematics, biostatistics, or related field with an interest in infectious disease modeling and epidemiological data analysis. The candidate should demonstrate a strong affinity for quantitative skills, and mathematical or statistical modeling. Prior experience of working with mathematical or computational models is highly desirable. Prospective students with strong experience in computer programming (e.g., MatLab, Mathematica, R, or Python) and with great communication skills (verbal and written) are particularly encouraged to apply.
Requirements for prospective students include:
• BS or MS degree
• The candidate must meet the formal admission requirements for Texas A&M University and the College of Veterinary Medicine and Biomedical Sciences.