Scholarship: Fully-funded
Degree: Ph.D
Nationality: International Students
Location: USA
Application deadlines: Open
Scholarship Description:
dr. wen’s group research interests focus on data analysis, machine learning and statistical modeling for quality improvement, prognostics in complex systems with applications in manufacturing, aerospace, healthcare. the ideal candidate will have strong data analysis and writing skills, the ability to work collaboratively and independently, and a solid record of publication.
Chapman university is a nationally ranked institution offering traditional undergraduate and graduate programs in the heart of orange county, one southern california’s most diverse and vibrant regions. the university achieved r2 status in the carnegie classification of institutions of higher education, a distinction held by just 10 percent of all u.s. universities. our faculty include academic leaders who excel in research, publishing and world-class teaching in our 11 schools and colleges, including fowler school of engineering. dedicated to forward-looking, personalized education, we create an environment for unlimited achievement by our students, faculty and researchers.
Chapman university is an equal opportunity employer committed to fostering a diverse and inclusive academic global community. the university is dedicated to enhancing diversity and inclusion in all aspects of recruitment and employment. all qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, gender expression, national origin, ancestry, citizenship status, physical disability, mental disability, medical condition, military and veteran status, marital status, pregnancy, genetic information or any other characteristic protected by state or federal law. the university is committed to achieving a diverse faculty and staff and encourages members of underrepresented groups to apply.
Available Subjects:
Engineering, computer science, statistics, or related fields.
Eligibility criteria:
A doctoral or equivalent degree in engineering, computer science, statistics, or related fields is required before the start date of the appointment. the applicant must have excellent communication skills (verbal and written) and strong programming skills. knowledge in statistical data analysis for manufacturing quality control, process monitoring, diagnostics and prognostics, or research experience in the analysis of medical data are strongly encouraged to apply.
The postdoctoral researcher will conduct independent research and/or collaborate on multiple research projects; provide guidance and support to undergraduate/graduate students associated with the related projects; document research activities and publish key findings in high-quality, peer-reviewed journals.
Application Process
FInterested applicants should electronically submit a detailed curriculum vitae, cover letter, research statement indicating research interests, summary of previous research portfolio, and future goals as well as contact information of two references (reference letters are encouraged but are not required at the time of application) through academic jobs online at: https://academicjobsonline.org/ajo/jobs/20142
Please address any questions to dr. yuxin wen at [email protected]. review of applications will begin immediately and will continue until the position is filled. the position is initially for one year with potential for renewal. the starting date of the position is flexible. this position is contingent upon final budget approval. successful completion of a background check is required for the final candidate.
