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POST-DOCTORAL RESEARCHER IN LEVERAGING MACHINE LEARNING FOR MATERIALS DISCOVERY
POSITION





UNIVERSITY OF NOTRE DAME: OFFICE OF THE PROVOST: LUCY FAMILY INSTITUTE FOR DATA
AND SOCIETY


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 (Mönster 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

·         PhD 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.


APPLICATION PROCESS

This institution is using Interfolio's Faculty Search to conduct this search.
Applicants to this position receive a free Dossier account and can send all
application materials, including confidential letters of recommendation, free of
charge.
Apply Now


EQUAL EMPLOYMENT OPPORTUNITY 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).

Background Check 

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 with respect to felony disclosures can result in the
disqualification of a candidate.  The full procedure can be viewed at
https://facultyhandbook.nd.edu/?id=link-73597.