Job no: 501801 Position type: Full-Time 12-Month Department: 191000 - Geosystems Research Institute Location: Main Campus - Starkville, MS Categories: Professional Position Open Date: Nov 11 2020
This project focuses on the utilization of low altitude high resolution remote sensing platforms for surveying wildlife in airport environments. The research associate will support a team of scientists working on individual and team research that falls under this broad umbrella. The role of the research associate will be to assist with experimental design and data analysis related to these research efforts. As such, the research associate is expected to have a strong background in image analysis, image classification using deep neural networks.
1) Support interdisciplinary teams to develop study questions to address wildlife survey in diurnal and nocturnal situations. 2) Develop object classification methods using visible and thermal imagery using deep neural networks to meet the needs of research in collaboration with USDA Agricultural Research Services (ARS) scientists 3) Participate in oral and written communications, as needed, to interface with the participating scientists and stakeholders to obtain clarity in requirements 4) Other duties as assigned
The position will be located at the main campus of Mississippi State University. Salary commensurate with abilities and experience.
1) Bachelor's Degree in Computer Engineering, Computer Science, or other relevant disciplines 2) Beginning with a bachelor's degree: a. A professional employee with a bachelor's degree and demonstrated competence can begin work at the Research Associate I level.
1) BS in Computer Engineering, Computer Science, or other relevant discipline 2) Demonstrated leadership skills 3) Excellent written and oral communication skills 4) Ability to work collaboratively in a team environment 5) Ability to appropriately apply advanced image classification analysis such as convolutional neural networks (CNNs), support vector machines, spatial feature extraction using deep learning methods. 6) Motivation to advance personal and group knowledge 7) Positive attitude
Knowledge, Skills, and Abilities:
The ideal candidate for this job will (listed in order of importance): 1) Have a strong background in image analysis and classification using CNNs 2) Demonstrated proficiency in programming languages like Python and experience using Matlab, and ArcMap. 3) Work well in an interdisciplinary collaborative team environment 4) Have some experience with web development
Apply online by submitting a cover letter and resume. For additional information contact Crisler Herndon by emailing email@example.com.
Position is contingent upon funding availability.
Equal Employment Opportunity Statement:
MSU is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, ethnicity, sex, religion, national origin, disability, age, sexual orientation, genetic information, pregnancy, gender identity, status as a U.S. veteran, and/or any other status protected by applicable law. We always welcome nominations and applications from women, members of any minority group, and others who share our passion for building a diverse community that reflects the diversity in our student population.
Internal Number: 501801
About Mississippi State University
Mississippi State University represents the highest level of research activity for doctorate-granting institutions and is designated by the Carnegie Foundation as an R1-Very High Research Activity University. Also, a National Science Foundation “Top 100” research University, MSU shelters a chapter of Phi Beta Kappa, the nation’s oldest and most prestigious honor society, and values the talents of our distinguished faculty, staff, and student scholars. Here, a culture of inclusion is fostered and we’re driven each day to make a difference at the local, state, regional, national and global levels. At Mississippi State University we invite you to join us as we continue our momentum in research, teaching, and service.
To apply, please go to http://explore.msujobs.msstate.edu/