Postdoc: Machine Learning for Materials Force Fields

SupportFinity™; Portland (OR); On-site; USD 81,000 - 99,000; Full time

Benefits offered by this job

Healthcare (with dental and vision)

401k

Flexible work schedule

Parental leave program

Over a month of paid vacation time

Job summary

SupportFinity™ is looking for a Postdoctoral Fellow in Machine Learning in Portland, Oregon. The successful candidate will develop state-of-the-art ML force fields to improve human health. A PhD in Chemistry or similar is required, along with a background in physical science and proficiency in Python.

In addition to a competitive salary starting around $90,000, the role offers extensive benefits including healthcare, a flexible work schedule, and generous vacation time.

Qualifications

• A PhD or extensive experience in relevant scientific fields.
• A proven track record of scientific contribution and independent research.
• Prior experience development of ML force fields.

Responsibilities

• Build and manage large data sets using quantum chemical methods.
• Develop software that trains and applies ML force fields.
• Communicate results and present ideas to the team.

Skills

Machine learning enthusiast

Proficient Python programmer

Understanding of surface chemistry

Education

PhD in Chemistry, Materials Science, Engineering, Computer Science, or Physics

Tools

VASP

Quantum ESPRESSO

Scikit-Learn

NumPy

SciPy

Pandas

PyTorch

Job description

SupportFinity™ is looking for a Postdoctoral Fellow in Machine Learning in Portland, Oregon. The successful candidate will develop state-of-the-art ML force fields to improve human health. A PhD in Chemistry or similar is required, along with a background in physical science and proficiency in Python.

In addition to a competitive salary starting around $90,000, the role offers extensive benefits including healthcare, a flexible work schedule, and generous vacation time.