at University of Arkansas - Fayetteville in Fayetteville, Arkansas, United States
Current University of Arkansas System employees (excluding those at UAMS) including student employees and graduate assistants need to log into Workday on My Apps. Simply enter "Find Jobs" in the Workday search bar to view open positions. All Job Postings will close at 12:01 a.m. CT on the specified Closing Date (if designated). To view the job posting closing date please return to the search for jobs page.If you close the browser or exit your application prior to submitting, the application process will be saved as a draft. You will be able to access and complete the application through "My Draft Applications" located on your Candidate Home page.Type of Position:Research
Workstudy Position:NoJob Type:Fixed Duration of Project/Grant (Fixed Term)
Work Shift:Day Shift (United States of America)
Sponsorship Available:YesInstitution 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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For general application assistance or if you have questions about a job posting, please contact Human Resources at 479.575.5351.Department:Department of Chemistry and Biochemistry Research Assistants 13
Department's Website:http://fulbright.uark.eduSummary 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;... For full info follow application link.
The University of Arkansas is an equal opportunity, affirmative action institution. The university welcomes applications without regard to age, race, gender (including pregnancy), national origin, disability, religion, marital or parental status, protected veteran status, military service, genetic information, sexual orientation or gender identity. 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.