Post-Doctoral Researcher in Leveraging Machine Learning for Materials Discovery Position is open at University of Notre Dame in Notre Dame, IN.
Type: Full-Time
Posted: 03/09/2024
Category: Biochemistry and Molecular Biology
Post-Doctoral Researcher in Leveraging Machine Learning for Materials Discovery Position
Location: University of Notre Dame
Open Date: Nov 10, 2023
Description:
We are currently recruiting a dedicated full-time postdoctoral researcher to work on a “Leveraging Machine Learning for Materials Discovery” project, focusing on molecular simulations of soft materials (e.g., polymers, liquids) and novel machine learning techniques for property prediction and material design/optimization. The primary objective is to generate data for soft materials from simulations and develop machine learning models based on the data. The postdoc will be directly hired by the Lucy Family Institute’s initiative on AI & Materials. The position is for a one-year term, renewable for one more year, pending performance review. The postdoc will be a residential scholar within the Lucy Family Institute office space as well as an active participant within the Lucy Postdoctoral Scholar Community to enable greater collaboration between the Institute faculty and other postdoctoral scholars who are recruited through this initiative. While Profs. Luo and Jiang will serve as the primary advisors, the postdoc will have opportunities to interact with multiple faculty experts in AI and experiments at Notre Dame.
More information about supervising professors is available here:
Prof. Tengfei Luo’s research lab (Monster Lab) https://monsterlab.nd.edu/people/tengfei-luo/
Prof. Meng Jiang’s research lab (DM2 Lab) http://www.meng-jiang.com
The University of Notre Dame is a private institution that was founded in 1842. It has a total undergraduate enrollment of 8,973 (fall 2021), its setting is suburban, and the campus size is 1,265 acres. It utilizes a semester-based academic calendar. 2023 US News National University Ranking No. 20.
Qualifications:
- Ph.D. in Engineering, Chemistry, or a related discipline; ability to work independently and in teams.
The following research expertise is required or highly desired preferred:
- Specialty 1 (required): Molecular simulations of soft materials.
- Specialty 2 (required): Proficiency in Python coding.
- Specialty 3 (highly desired): Experience in machine learning techniques, such as neural networks, Bayesian learning, and uncertainty quantification.
- Specialty 4 (highly desired): Experience in database and web tool building.
To apply, visit https://apply.interfolio.com/136443 or apply on the Institution’s Website.
This appointment is contingent upon the successful completion of a background check. Applicants will be asked to identify all felony convictions and/or pending felony charges. Felony convictions do not automatically bar an individual from employment. Each case will be examined separately to determine the appropriateness of employment in the particular position. Failure to be forthcoming or dishonesty concerning felony disclosures can result in the disqualification of a candidate. The full procedure can be viewed at https://facultyhandbook.nd.edu/?id=link-73597.
Equal Opportunity Employment Statement:
The University of Notre Dame seeks to attract, develop, and retain the highest quality faculty, staff, and administration. The University is an Equal Opportunity Employer and is committed to building a culturally diverse workplace. We strongly encourage applications from female and minority candidates and those candidates attracted to a university with a Catholic identity. Moreover, Notre Dame prohibits discrimination against veterans or disabled qualified individuals and requires affirmative action by covered contractors to employ and advance veterans and qualified individuals with disabilities in compliance with 41 CFR 60-741.5(a) and 41 CFR 60-300.5(a).
The University of Notre Dame, an international Catholic research university, is an equal-opportunity employer.
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