Actuarial Fellow utilizes statistical analysis and modeling to assess and manage risk and estimate financial outcomes. Compiles, prepares, and analyzes data to develop statistical models, probability tables, and actuarial studies and evaluate the likelihood and financial impact of various risks. Being an Actuarial Fellow assists with product design and development by analyzing risk groups and calculating appropriate insurance rates, premium levels, and rating systems and structures. Records and tracks accruals, claims, and settlements and prepares documents for input into regulatory filings, financial budgets, forecasts, and other financial projections. Additionally, Actuarial Fellow applies knowledge of mathematics, probability, statistics, principles of finance and business to calculations in life, health, social, and casualty insurance, annuities, and pensions. Requires a bachelor's degree. Requires Fellow of Society of Actuaries (FSA). Typically reports to a manager. To be an Actuarial Fellow typically requires 12+ years of related experience. Achievement and depth of knowledge of specialization or field is the main differentiator. Advisory role on complex and challenging projects and initiatives. Recognized for deep technical and industry knowledge and innovative thinking. Provides thought leadership and guidance to a functional area and the organization. (Copyright 2024 Salary.com)
Job Title | Postdoctoral Fellow |
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Posting Number | P0857F |
Job Description Summary | The Auburn University Interdisciplinary Center for Advanced Manufacturing (ICAMS) at the Industrial and Systems Engineering (ISE) department invites applications for three post-doctoral positions in the field of advanced digital manufacturing with an anticipated start date of Fall 2022. Position is open to all sub-fields of advanced digital manufacturing technologies, with particular interest in the development of smart manufacturing tools, including manufacturing information and management systems, data sensing, robotics, cybersecurity, distributed manufacturing, machine learning, and Industry 4.0. |
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Minimum Qualifications | Eligible candidates must hold an earned doctorate in Industrial Engineering, Computer Engineering, Computer Science, or a closely related engineering discipline at the time of employment. Candidates selected for this position must be able to meet eligibility requirements to work in the United States at the time of employment and continue working legally for the proposed term of employment. All non-US Citizens will have to be submitted to and approved by the Government Sponsors prior to an offer being made. The successful candidates will have experience in one or more of the following areas: (1) software and database design, development, implementation, and integration; (2) computer networks; (3) sensor design, development, and fusion; (4) unstructured data collection and visualization; (5) Augmented/Virtual/Extended Reality; (6) distributed computing environments; and (7) machine learning. The successful candidates will also demonstrate skills and experience in * engineering in relation to manufacturing * project management * research and development, including writing research papers and research funding proposals |
Desired Qualifications | |
Special Instructions to Applicants | Candidates selected for this position must be able to meet eligibility requirements to work in the United States at the time of employment and continue working legally for the proposed term of employment and be able to communicate effectively in English. All non-US Citizens will have to be submitted to and be approved by the Government Sponsors prior to an offer being made. Review of applications will begin after August 31, 2022 and continue throughout the year as positions become available. |
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EEO Statement |
AUBURN UNIVERSITY IS AN AFFIRMATIVE ACTION/EQUAL OPPORTUNITY EMPLOYER. It is our policy to provide equal employment opportunities for all individuals without regard to race, sex, religion, color, national origin, age, disability, protected veteran status, genetic information, sexual orientation, gender identity, or any other classification protected by applicable law. |
Open Until Filled | Yes |
References required for this position? | No |
If yes, minimum number requested | 3 |
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