Schrdinger2mo ago

Postdoctoral Fellow, Machine Learning Force Fields

Portland · Portland · Portlandmid

Data ScienceMachine LearningData & AI

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Quick Summary

Overview

We’re seeking a Postdoctoral Fellow in Machine Learning (ML) to join us in our mission to improve human health and quality of life through the development, distribution,

Technical Tools

Data ScienceMachine LearningData & AI

We’re seeking a Postdoctoral Fellow in Machine Learning (ML) to join us in our mission to improve human health and quality of life through the development, distribution, and application of advanced computational methods. As a member of our Materials Science team, you’ll develop state-of-the-art ML force fields which will be applied to impactful applications in materials sciences.

A machine learning enthusiast with a background in physical science
An innovator who’s driven to leverage technical knowledge to make a tangible impact
A scientist with deep knowledge of both finite system and periodic DFT, as well as other electronic structure methods, and who understands the limitations and appropriate applications of these methods
A proficient Python programmer who can write their own scripts
An independent researcher who enjoys collaborating with an interdisciplinary team in a fast-paced environment

Responsibilities

~1 min read

→Build and manage large data sets generated using quantum chemical methods at scale to develop predictive ML force fields
→Develop software that trains and applies ML force fields to challenging problems in materials sciences
→Extend the accuracy, capability and generalization of current ML force fields
→Communicate results and present ideas to the team

A PhD (or extensive experience) in Chemistry, Materials Science, Engineering, Computer Science, or Physics
A proven track record of scientific contribution and independent research
Prior experience with development of ML force fields and/or electronic structure methods
Experience with predicting electronic properties using VASP, Quantum ESPRESSO, or similar modeling software
Prior knowledge of ML toolkits such as Scikit-Learn, NumPy, SciPy, Pandas, and PyTorch is a plus, but not required
Understanding of surface chemistry is a plus, but not required

Pay and perks:

Schrödinger understands it’s people that make a company great. Because of this, we’re prepared to offer a competitive salary, equity-based compensation, and a wide range of benefits that include healthcare (with dental and vision), a 401k, pre-tax commuter benefits, a flexible work schedule, and a parental leave program. We have regular catered meals in the office, a company culture that is relaxed but engaged, and over a month of paid vacation time. Our Office Management team also plans a myriad of fun company-wide events. Schrödinger is honored to have been included in Newsweek's list of America's 100 Most Loved Workplaces.

Estimated base salary: $90,000. Actual compensation package is dependent on a number of factors, including, for example, experience, education, degrees held, market data, and business needs. If you have any questions regarding the compensation for this role, do not hesitate to reach out to a member of our Strategic Growth team.

Sound exciting? Apply today and join us!

As an equal opportunity employer, Schrödinger hires outstanding individuals into every position in the company. People who work with us have a high degree of engagement, a commitment to working effectively in teams, and a passion for the company's mission. We place the highest value on creating a safe environment where our employees can grow and contribute, and refuse to discriminate on the basis of race, color, religious belief, sex, age, disability, national origin, alienage or citizenship status, marital status, partnership status, caregiver status, sexual and reproductive health decisions, gender identity or expression, sexual orientation, or any other protected characteristic. To us, "diversity" isn't just a buzzword, but an important element of our core principles and key business practices. We believe that diverse companies innovate better and think more creatively than homogenous ones because they take into account a wide range of viewpoints. For us, greater diversity doesn't mean better headlines or public images - it means increased adaptability and profitability.