Postdoctoral Scholar in Materials Science and Machine Learning

Updated: over 2 years ago
Location: Fayetteville, ARKANSAS
Job Type: FullTime
Deadline: The position may have been removed or expired!

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Type of Position:
Research


Workstudy Position:


No

Job Type:

Fixed Duration of Project/Grant (Fixed Term)


Work Shift:

Day Shift (United States of America)


Sponsorship Available:


Yes

Institution Name:

University of Arkansas, Fayetteville

Founded in 1871, the University of Arkansas is a land grant institution, classified by the Carnegie Foundation among the nation’s top 2 percent of universities with the highest level of research activity. The University of Arkansas works to advance Arkansas and build a better world through education, research and outreach by providing transformational opportunities and skills, promoting an inclusive and diverse culture and climate, and nurturing creativity, discovery and the spread of new ideas and innovations.
The University of Arkansas campus is located in Fayetteville, a welcoming community ranked as one of the best places to live in the U.S. The growing region surrounding Fayetteville is home to numerous Fortune 500 companies and one of the nation’s strongest economies. Northwest Arkansas is also quickly gaining a national reputation for its focus on the arts and overall quality of life.
As an employer, the University of Arkansas offers a vibrant work environment and a workplace culture that promotes a healthy work-life balance. The benefits package includes university contributions to health, dental, life and disability insurance, tuition waivers for employees and their families, 12 official holidays, immediate leave accrual, and a choice of retirement programs with university contributions ranging from 5 to 10% of employee salary.
Below you will find the details for the position including any supplementary documentation and questions, you should review before applying for the opening.
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Department:

Department of Chemistry and Biochemistry Research Assistants 13


Department's Website:


http://fulbright.uark.edu

Summary of Job Duties:

The Coridan lab in the Department of Chemistry and Biochemistry in the Fulbright College of Arts and Sciences at the University of Arkansas is seeking a recent PhD graduate in materials science or related field for the position of Postdoctoral Scholar in Materials Science and Machine Learning to study the application of machine learning algorithms for predicting the optical properties of disordered composites. The goal of the project is to connect large-scale simulation data with predictive algorithms for the design of materials with enhanced light-trapping capabilities.
This is an opportunity for a scientist with strong programming skills to potentially develop domain expertise in a new field. The ideal candidate will have considerable experience with the Python programming language and related machine learning libraries (scikit-learn, PyTorch, Keras). Experience with scalable implementations of these applications is a plus. Potential candidates may be asked for code samples demonstrating their experience with these applications. A background in photonics and materials chemistry generally is desirable, but not required.
Duties for the position include: developing and maintaining scientific codes for generating and analyzing simulation data, including following all best-practice guidelines for clarity, reproducibility, and commenting in code; designing, organizing, and conducting machine learning and statistical analyses on simulation data; summarizing findings and publish results in primary scientific research journals; present findings at research conferences; supervise and/or collaborate with other personnel (graduate students, undergraduate researchers, and collaborators); maintain up-to-date knowledge of scientific literature related to the goals of the project; and other relevant research duties.

Qualifications:

Minimum Qualifications:

  • Recently completed (less than three years) Ph.D. in Materials Science or related scientific or engineering field, conferred by the start of employment

Preferred Qualifications:

  • Documented and demonstrable facility with the Python programming language and related machine learning libraries (scikit-learn, PyTorch, Keras)

  • Experience with scalable implementations of data science analyses based on these applications.

  • A background in photonics and materials chemistry



Salary Information:


$40,000


Required Documents to Apply:


Cover Letter/Letter of Application, Curriculum Vitae, List of three Professional References (name, email, business title)

Optional Documents:


Proof of Veteran Status


Recruitment Contact Information:


Robert Coridan, Associate Professor of Inorganic Chemistry, [email protected]


All application materials must be uploaded to the University of Arkansas System Career Site https://uasys.wd5.myworkdayjobs.com/UASYS  

Please do not send to listed recruitment contact.



Additional Information:


This is a one-year appointment with possible one-year renewal based on the need for the position, availability of funding, and continued satisfactory level of performance in the role.



Pre-employment Screening Requirements:

Criminal Background Check, Sex Offender Registry

The University of Arkansas is committed to providing a safe campus community. We conduct background checks for applicants being considered for employment. Background checks include a criminal background check and a sex offender registry check. For certain positions, there may also be a financial (credit) background check, a Motor Vehicle Registry (MVR) check, and/or drug screening. Required checks are identified in the position listing. A criminal conviction or arrest pending adjudication or adverse financial history information alone shall not disqualify an applicant in the absence of a relationship to the requirements of the position. Background check information will be used in a confidential, non-discriminatory manner consistent with state and federal law.

The University of Arkansas seeks to attract, develop and retain high quality faculty, staff and administrators that consistently display practices and behaviors to advance a culture and climate that embeds inclusion, diversity, equity, and access. For more information on diversity and inclusion on campus, please visit: Division of Diversity, Equity, and Inclusion
The University of Arkansas is an equal opportunity, affirmative action institution. The university welcomes applications without regard to race/color, sex, gender, pregnancy, age, national origin, disability, religion, marital or parental status, protected veteran or military status, genetic information, sexual orientation, gender identity or any other characteristic protected under applicable federal or state law. 
Persons must have proof of legal authority to work in the United States on the first day of employment. All applicant information is subject to public disclosure under the Arkansas Freedom of Information Act.



Constant Physical Activity:

N/A

Frequent Physical Activity:

N/A

Occasional Physical Activity:

Manipulate items with fingers, including keyboarding, Repetitive Motion

Benefits Eligible:

Yes