Virginia Tech: Software Scientist, Machine Learning
Seeking a software scientist with expertise in machine learning, to be actively involved in an interdisciplinary team who will help develop software frameworks and interact with community code developers including Software Fellows.
At: Virginia Tech
Location: Blacksburg, VA
Position: Software Scientist, Machine Learning
The Molecular Sciences Software Institute (MolSSI - http://molssi.org/) located at Virginia Tech seeks candidates for a software scientist position in the area of machine learning. MolSSI serves the worldwide community of computational molecular scientists – a broad field including biomolecular simulation, quantum chemistry, and materials science. The Institute works on advancing software infrastructure, education, standards, and best-practices that are needed by the molecular science community.
As machine learning is becoming an important tool in computational molecular sciences, MolSSI seeks a software scientist with expertise in this specific area. The successful candidate will be actively involved in an interdisciplinary team who will help develop software frameworks, interact with community code developers including Software Fellows, develop and provide software development training, collaborate with partners in cyberinfrastructure, form mutually productive coalitions with industry, government labs and international efforts. Candidates should have demonstrable skills in computational methods related to machine learning and in active community software development. Candidates with experience in molecular science related machine learning are especially welcome.
Qualified applicants must have a MSc with 2 years experience or PhD in computer engineering, computer science, informatics or related area OR a PhD in biophysics, chemistry, biology, materials science, applied mathematics, or related areas. The applicant should also have a strong research record; strong communication skills to effectively interact with all stakeholders in MolSSI and with staff; and the ability to timely execute activities.
Interested candidates can apply at https://listings.jobs.vt.edu/postings/85381.
If there are any questions, please contact Cecilia Clementi (email@example.com).