Job DescriptionThe Virginia Tech Center for Ecosystem Forecasting (www.ecoforecastprojectvt.org) is recruiting a research software engineer (RSE) with experience developing software in the life sciences, applying machine learning to forecasting, and constructing data lakes to join our team. The RSE will lead and implement the development of the open-source software stack that serves as the foundation of the Center for Ecosystem Forecasting. This stack includes: software to simulate individual-based models of phytoplankton; machine learning models to predict water quality dynamics; automated workflows that leverage cloud storage and cloud computing; databases that leverage best practices in data lake construction; three-dimensional lake hydrodynamic models; and predictive models of forest dynamics that use large geospatial databases. The RSE will also develop training materials to support the computational needs of the team, communicate findings through reports and peer-reviewed articles, and contribute to the submission of grant proposals.Required Qualifications? Master's degree in computer science? Proficiency with Python and/or R? Experience developing research software with life science applications? Experience applying machine learning models and agent/individual-based models to forecasting applications? Experience constructing data lakes that contain heterogenous data? Experience with Docker, automated workflows, and collaborative coding using Git and GitHub, demonstrated by their software portfolio (e.g., GitHub profile).Preferred Qualifications? Experience working with parquet file formats? Experience with building cloud architectures with S3 storage? Experience with implementing GitHub Actions? Experience publishing peer-reviewed research articles? Experience managing software development teams? Experience acquiring funding to support forecasting projectsPay Band{lPayScaleID}Appointment TypeRestrictedSalary InformationCommensurate with experience but within budget maximumReview DateApril 1, 2024Additional InformationCandidates should submit a cover letter addressing how they meet the required and preferred qualifications described below that includes a link to their software portfolio (e.g., GitHub profile), a resume/CV detailing relevant work experience, and a list of three references with their contact information. Apply to posting #529027. Applicant screening will continue until the position is filled. Virginia Tech is committed to building a culturally-diverse faculty and strongly encourages applications from women and minorities.The successful candidate will be required to have a criminal conviction check.About Virginia TechDedicated to its motto,Ut Prosim(That I May Serve), Virginia Tech pushes the boundaries of knowledge by taking a hands-on, transdisciplinary approach to preparing scholars to be leaders and problem-solvers. A comprehensive land-grant institution that enhances the quality of life in Virginia and throughout the world, Virginia Tech is an inclusive communitydedicated to knowledge, discovery, and creativity. The university offers more than 280 majors to a diverse enrollment of more than 36,000 undergraduate, graduate, and professional students in eight undergraduate colleges, a school of medicine, a veterinary medicinecollege, Graduate School , andHonors College . The university has a significant presence across Virginia, including theInnovation Campus in Northern Virginia; the Health Sciences and Technology Campus in Roanoke; sites in Newport News and Richmond; and numerousExtension offices andresearch centers . A leading global research institution, Virginia Tech conducts more than $500 million in research annually.Virginia Tech does not discriminate against employees, students, or applicants on the basis of age, color, disability, sex (including pregnancy), gender, gender identity, gender expression, genetic information, national origin, political affiliation, race, religion, sexual orientation, or military status, or otherwise discriminate against employees or applicants who inquire about, discuss, or disclose their compensation or the compensation of other employees or applicants, or on any other basis protected by law.If you are an individual with a disability and desire an accommodation, please contactDreama ****** regular business hours at least 10 business days prior to the event.
