The Quantitative Ecology and Spatial Technologies (QuEST) Laboratory and Geosystems Research Institute (GRI) seeks to hire a Biomathematician/Biostatistician to develop novel mathematical and statistical tools for describing spatial phenomena using high-resolution remote sensing and biotelemetry datasets, coupled to applications in high-performance computing to facilitate rapid data analysis. This is a 2-year position (with possibility of extension pending additional extramural funding).
Salary Grade: UC
Please see Staff Compensation Structure or Skilled Crafts and Service Maintenance Compensation Schedule for salary ranges. For salary grade UC, these positions are "Unclassified" and salary ranges are determined by the hiring department.
Essential Duties and Responsibilities:
• Identify current gaps in mathematical tools for applications to animal movement and
dispersal, spatial epidemiology, species distributions, and biological invasions
• Develop new mathematical and statistical tools to address identified gaps
• Develop subsequent applications of tools using high-performance computing
• Collaborate with data scientists and graduate students to inform data curation procedures for application of spatial data to new tools
• Participate in oral and written communications as needed to interface with participating scientists and stakeholders
• Disseminate knowledge in primary literature (expected min. 2 publications) and at
conferences and meetings
• Participate in QuEST Lab meetings and mentorship activities
• Other duties as assigned
• Must possess a Ph.D. or have defended a dissertation (no ABD)
• Background in mathematical biology (in particular partial differential equations and integro-difference equations) and computer programming
• Excellent written and oral communication skills
• Ph.D. in mathematics, biomathematics, applied mathematics, statistics, quantitative ecology, or other related fields
• General background in spatial ecology, animal movement, biological invasions, species distribution models, and/or spatial epidemiology
• Demonstrated history of publication and collaboration
• Ability to work independently and as part of a trans-disciplinary team
Instructions for Applying:
Apply online by submitting (1) a cover letter, (2) a resume or Curriculum Vitae, (3) a 1-page statement of interest and expertise, (4) contact information for 3 references, and (5) academic transcripts. Any social security numbers included on the requested documents should be redacted prior to submitting online.
Position is contingent upon funding availability.
Equal Employment Opportunity Statement:
MSU is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, ethnicity, sex, religion, national origin, disability, age, sexual orientation, genetic information, pregnancy, gender identity, status as a U.S. veteran, and/or any other status protected by applicable law. We always welcome nominations and applications from women, members of any minority group, and others who share our passion for building a diverse community that reflects the diversity in our student population.