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<p class="MsoNormal"><i>On behalf of Cranos Williams at NCSU …<o:p></o:p></i></p>
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<p class="MsoNormal"><b>Position Description</b><br>
<br>
The <a href="https://urldefense.com/v3/__https:/research.ece.ncsu.edu/enbisys/__;!!PvXuogZ4sRB2p-tU!FTZKtJ7xKT0UZ1troxSUT6Z6enHtuhiPgnD-oY3TaDeumcxXIsA2lClsU606zRLNcvReb53C-_OyYwIh8IQ$">
EnBiSys Lab</a>, an interdisciplinary research group affiliated with the <a href="https://urldefense.com/v3/__https:/cals.ncsu.edu/psi/__;!!PvXuogZ4sRB2p-tU!FTZKtJ7xKT0UZ1troxSUT6Z6enHtuhiPgnD-oY3TaDeumcxXIsA2lClsU606zRLNcvReb53C-_OyWGr9AKU$">
N.C. Plant Sciences Initiative</a> at NC State University, is looking for a postdoctoral research scholar to develop data management architectures, decision support dashboards and machine learning models for large- scale plant sciences and agricultural data.
As part of the <a href="https://urldefense.com/v3/__http:/www.sweetpotatoanalytics.com/__;!!PvXuogZ4sRB2p-tU!FTZKtJ7xKT0UZ1troxSUT6Z6enHtuhiPgnD-oY3TaDeumcxXIsA2lClsU606zRLNcvReb53C-_Oye9dCf94$">
SweetAPPS Project</a>, this postdoctoral researcher will lead the development of APIs, data workflows and dashboards that will bridge the gap between big data and decision making in agriculture. The goal is to deliver a decision support platform to agricultural
stakeholders that integrates analytics, querying, and data visualization. A successful candidate will be able to work with an interdisciplinary team of land grant university faculty and graduate students, effectively communicate technical knowledge to diverse
groups, and successfully mentor graduate students developing machine learning and deep learning models that analyze and extract insights from data. Individuals with knowledge of tools for handling big data, cloud computing platforms, databases and data workflows
are encouraged to apply. <br>
<br>
<b>Position requirements</b><br>
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• Ph.D. in electrical engineering, computer engineering, computer science, or related field.<br>
• Knowledge of back-end language (e.g. C#, Java, Python, MATLAB) and JavaScript<br>
frameworks (e.g. Angular, React, Node.js) for developing APIs and dashboards<br>
Knowledge of front-end language and library (e.g. HTML/ CSS, JavaScript, XML, or<br>
jQuery)<br>
• Knowledge of cloud computing platforms (e.g., Microsoft Azure, Amazon Web Services,<br>
and/or Google Cloud)<br>
• Experience developing APIs and dashboards using technologies such as JavaScript and<br>
Python.<br>
• Experience with the training and testing of machine learning models in any programming<br>
language (e.g. MATLAB, Python, R, or SAS)<br>
• Proficient in spoken and written English<br>
• Able to work independently as well as lead an interdisciplinary <br>
<br>
<b>Preferred qualifications</b><br>
<br>
• Knowledge of databases (e.g. MySQL, MongoDB) and familiarity with web servers (e.g. Apache) and UI/UX design<br>
• Experience developing data workflows to transfer, extract, and load data from IoT devices to cloud platforms.<br>
• Familiarity with security and privacy aspects of data management a plus but not required.<br>
• Knowledge of data lifecycle and experience developing automated processes for<br>
integrating different data types<br>
<br>
<b>Supervision Exercised</b><br>
<br>
The position will include some supervision of undergraduate and graduate students involved in research on the project.<br>
<br>
<b>Anticipated Division of Time</b><br>
<br>
• Research and Implementation 60%<br>
• Writing 25%<br>
• Mentoring 15% <br>
<br>
<b>To apply:</b><br>
<br>
Please apply online: (<a href="https://urldefense.com/v3/__https:/jobs.ncsu.edu/postings/183875__;!!PvXuogZ4sRB2p-tU!FTZKtJ7xKT0UZ1troxSUT6Z6enHtuhiPgnD-oY3TaDeumcxXIsA2lClsU606zRLNcvReb53C-_OyQ7TobII$">https://jobs.ncsu.edu/postings/183875</a>).<br>
<br>
Applicants should submit a CV, cover letter, and names and complete contact information of three professional references, including email addresses and phone numbers. Applications will be reviewed as received, continuing until a suitable applicant is identified.<br>
<br>
NC State University is an equal opportunity and affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, national origin, religion, sex, gender identity, age, sexual orientation, genetic
information, status as an individual with a disability, or status as a protected veteran. Individuals with disabilities requiring disability-related accommodations in the application and interview process are welcome to contact 919-515-3148 to speak with a
representative at the Office of Institutional Equity and Diversity.<o:p></o:p></p>
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<p class="MsoNormal"><o:p> </o:p></p>
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<p class="MsoNormal"><span class="gmailsignatureprefix">-- </span><o:p></o:p></p>
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<p class="MsoNormal"><span style="color:#222222">Cranos M. Williams, Ph.D.<o:p></o:p></span></p>
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<p class="MsoNormal"><span style="color:#222222">Goodnight Distinguished Professor of Agricultural Analytics<o:p></o:p></span></p>
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<p class="MsoNormal"><span style="color:#222222">Electrical and Computer Engineering; Plant and Microbial Biology<o:p></o:p></span></p>
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<p class="MsoNormal"><span style="color:#222222">Platform Director, Data-Driven Plant Sciences, NC Plant Sciences Initiative<br>
Director, EnBiSys Research Laboratory<o:p></o:p></span></p>
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<p class="MsoNormal"><span style="color:#222222">North Carolina State University<o:p></o:p></span></p>
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<p class="MsoNormal"><span style="color:#222222">Phone: 919-513-1923<o:p></o:p></span></p>
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<p class="MsoNormal"><span style="color:#222222">Email: <a href="mailto:cmwilli5@ncsu.edu" target="_blank"><span style="color:#1155CC">cmwilli5@ncsu.edu</span></a><o:p></o:p></span></p>
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<p class="MsoNormal"><span style="color:#222222"><a href="https://urldefense.com/v3/__https:/cals.ncsu.edu/psi/__;!!PvXuogZ4sRB2p-tU!FTZKtJ7xKT0UZ1troxSUT6Z6enHtuhiPgnD-oY3TaDeumcxXIsA2lClsU606zRLNcvReb53C-_OyWGr9AKU$" target="_blank"><span style="color:#1155CC">https://cals.ncsu.edu/psi/</span></a><o:p></o:p></span></p>
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<p class="MsoNormal"><span style="color:#222222"><a href="https://urldefense.com/v3/__http:/enbisys.ece.ncsu.edu/__;!!PvXuogZ4sRB2p-tU!FTZKtJ7xKT0UZ1troxSUT6Z6enHtuhiPgnD-oY3TaDeumcxXIsA2lClsU606zRLNcvReb53C-_Oye7teXqQ$" target="_blank"><span style="color:#1155CC">http://enbisys.ece.ncsu.edu</span></a><o:p></o:p></span></p>
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<p class="MsoNormal"><i><span style="color:#222222">in Silico</span></i><span style="color:#222222"> Plants, Editorial Advisory Board, <a href="https://urldefense.com/v3/__http:/insilicoplants.org/__;!!PvXuogZ4sRB2p-tU!FTZKtJ7xKT0UZ1troxSUT6Z6enHtuhiPgnD-oY3TaDeumcxXIsA2lClsU606zRLNcvReb53C-_OyAyZz_3U$" target="_blank"><span style="color:#1155CC">http://insilicoplants.org</span></a><o:p></o:p></span></p>
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