We seek an instructor for the Girls Go for IT coding camp. The camp is designed to encourage middle-school girls to consider STEM and IT careers and, with your help, will earn funding from the National Center for Women & IT. This will be our 7th year hosting the camp, so we have a lot of resources to help you plan and run the camp. This is a paid position. Proposed camp dates are June 15-19 (Scratch) and June 22-26 (Alice or other coding environment). Contact Dr. Alicia Wilson, awilson@geol.sc.edu, 803 777-1240.

My name is Mike Current, and I am on the baseball staff here at the University of South Carolina. We are looking for someone to help us build a web app that will allow us to view our Tableau dashboards online. Currently, we house our dashboards in a shared Dropbox folder, but we would like to create a site that will allow us to access them on the web. We would like a home page, which would essentially be a table of contents, with links to each of our dashboards. If you need more information on what we are looking to do, please just let me know. Thanks for your help. Mike Current mcurrent@mailbox.sc.edu Director of Player Development University of South Carolina (O) 803-777-1704

SURF THE WAVES with ASSET: ASSET:ADVANCED SECURED SENSOR ENABLING TECHNOLOGIES MAY 28-AUG 4,2020 The application early action deadline is February 7, 2020 and regular deadline is April 15, 2020 or until positions are filled Funded by NSF and DoD (PIs: Dr. Pissinou and Dr. Iyengar) The Summer 2020 REU SITE of Florida International University Research Experience for Undergraduates in Advanced Secured Sensor Enabling Technologies spans ten weeks, May 28- August 4 2020, offers research and professional development opportunities for 10 undergraduate students. Available research projects share the theme of advanced secured sensor enabling technologies and span several exciting areas such as

•  Trajectory Privacy Preservation in Mobile Sensor Networks,
•  Privacy & Secure Social Sensor Networks,
•  Mobile Video Authenticity Verifications
•  Search Rank Validation for Social Media
•  A Software Library for Visualizing Large Scale Sensor Network Applications,
•  Trajectory Sensor Stream Cleaning,
• Resource Management for Security & Surveillance over a Sensor Network,
•  Self-configuring, non-cooperative Mobile Sensors

and many others Details about REU-ASSET including an online application, can be found at http://it2.fiu.edu/it2_REU.php

Research Computing at UofSC DoIT is looking for a self-initiative undergraduate to participate in Deep Learning (DL) optimization and High Performance Computing (HPC) benchmarking project. The successful candidate will work on the state-of-art industry-level HPC clusters and GPFS storage. The duties include: setting up benchmarking suite in cluster parallel environment, building necessary libraries, writing shell scripts to build frameworks and optimizing training DL models. This job opportunity can shine on your resume. Knowledge/Skills/Abilities:

• Experience with Linux administration, Shell Script and Python
• Basic knowledge with Big Data, Machine Learning, and/or Deep Learning
• Good Mathematics background, like in Linear Algebra, Statistics.
• Good communication skill
• GPA 3.0 and above
• Immediate start is a big plus

We are paying $15 per hour, 10-15 hours per week for the semester with the potential for continuing internship for the summer. Should you be interested, please forward resume to zhouj@mailbox.sc.edu.

I am writing to inquire if you have students or could forward to students who might be interested in working on project related to water supply policy in Kenya. The project includes the cleaning and basic analysis of a large, multi year dataset of household water use in Kenya. The student must be detail oriented and have the skills and aptitude to clean and validate panel data. (The task can be performed in Stata, r, Matlab or Python). Given that the data have a spatial component, the student should also have the ability to perform basic GIS mapping and analysis. Someone with an interest in data visualization would be ideal. Depending on the student’s preferences, I can structure the work as independent research, an independent study, or a paid hourly research assistantship. I am keen to get started ASAP on this work. Please have interested students contact me fuente@seoe.sc.edu. Many thanks in advance! David Fuente Assistant Professor School of Earth, Ocean and Environment

Following their visit, Google is interested in hiring more UofSC CSE students: I apologize for the delay in being able to share this, but Google staffing has just created a special link for us to give to you in order to make the Intern Application Process as simple as possible for your students to apply for Google internships. Some of the deadlines unfortunately are close to passing and so please pass along the below links to apply as soon as possible to any relevant students you have in mind. And best wishes to them! Happy to answer any questions/concerns. Happy Holidays and look forward to corresponding with you soon in the new year! Degree: Bachelors Deadline: September 16, 2019- December 13, 2019 https://careers.google.com/jobs/results/123846938287055558-software-eng… Degree: Masters Deadline: September 16, 2019- December 13, 2019 https://careers.google.com/jobs/results/128054769286554310-software-eng… Degree: PhD Deadline: September 16, 2019- Feb. 7 2020 https://careers.google.com/jobs/results/106680263242588870-software-eng…

The Research Data Manager will be responsible for management of multiple complex datasets from longitudinal observational and intervention studies. The primary activities of this position are data quality assurance checks, management of research data, creation of new summary variables, creation of datasets for investigators, creation of data tables for reports and papers. The Research Data Manager will support research data collection and management activities Primary Responsibilities Are as Follows

•  Extract and manage multiple datasets from existing cloud-based platforms (i.e. Fitabase, Actilife, Twilio, Qualtrics)
•  Implement and trouble shoot R code to extract, catalog and manage large amounts of data
•  Develop data flow diagrams and data dictionaries to document origins, transformations, and outputs
•  Perform complex data manipulations using multiple file and data sources
•  Develop and implement strategies and procedures for data cleaning
•  Develop Standard Operating Procedures for managing data
•  Design and program databases as needed.
•  Perform data cleaning, including identifying potential problems with study data
•  Create new summary variables
•  Merge, create, and recode variables to prepare data for analyses
•  Create datasets for analysis by other investigators
•  Create tables and figures in publication-quality form summarizing the results of statistical analyses
•  Write detailed documentation/specifications for analysis data sets and related files
•  Use survey platforms to create, send, or manage surveys (i.e. Qualtrics)
•  Attend staff meetings and provide updates on status of projects

Minimum Qualifications (Mandatory)

•  Bachelor's degree in related discipline.
•  Three (3) years related experience.
•  Additional education (Master's level) may substitute for required experience.

If interested contact R. Glenn Weaver, M.Ed., Ph.D. weaverrg@email.sc.edu

Would you mind spreading the word to you students about the opportunities for summer internships here at our state-owned electric utility, Santee Cooper? Specifically, we have opportunities for summer internships in Electrical Engineering, Civil & Environmental Engineering, Mechanical Engineering, Computer Science and IT, etc. All opportunities can be found here. Summer internship postings close on Feb. 1, 2020. If you or the students would like more info about Santee Cooper, please visit us at www.santeecooper.com or feel free to give me a shout/email/etc.

Are you interested in joining a startup that can change the future of women’s healthcare? This individual will help ideate and design a prototype that will be submitted to the Proving Ground competition in the Caliber Discovery division for a prize of $17,500. Candidates must be fluent in a high-level coding language (C/C++ or java), have experience developing mobile apps, and be willing to meet 1-2x monthly for team meetings between December 2019 and March 2020. The right candidate “thinks big”, wants to create disruptive innovation, and works well on small teams. Submit your resume to Savannah.Schepp@mba.moore.sc.edu for further details. All educational levels (undergraduate, graduate, or recent grad) may apply. This is a paid position.

Hi Gamecocks, The Darla Moore School of Business Data Lab and its Operations and Supply Chain Center are now accepting applications for the Schaeffler and Betabox sponsored Analytics Hackathon in collaboration with the College of Engineering & Computing. Students must apply online by November 1, 9:00 pm! We will select 20-30 eager and data driven students to participate in this competition from all disciplines and place students on multidisciplinary teams. This is an excellent opportunity to hone your analytics, problem solving and team skills. The winning team will receive a $1,000 prize to be split among team members. The second prize winning team will receive a cash prize of $500 Nov. 12 – Pre-Competition Kick-Off Meeting DMSB 111 Nov. 23 3:00 – 9:00 pm & Nov. 24, 8:30 am – 2:30 pm - Hackathon Event, DMSB

What is Engineering Management? Engineers and computer scientists need management skills to successfully perform their jobs. We provide a comprehensive approach to:

• Supervise other engineers using effective people management and negotiation skills,
• Plan and organize resources to deliver on-time and on-budget results through proper project management and engineering economics,
• Recognize product liability issues from both the manufacturer and customer perspectives, and
• Successfully communicate the benefits and challenges associated with a project to upper management and marketing team.

More information at Engineering Management MS.

We're looking for the next group of students who are interested in hands-on learning and development through summer internships. The positions for summer 2020 are posted online, and the deadline to apply is Oct. 31, 2019. Opportunities exist in everything from engineering to information systems to security or sourcing or facilities management. Please help spread the word!

Research Computing (RC) at USC DoIT is looking for a self-initiative undergraduate student to develop a video web portal. The requirement is like following:

• Knowledge with HTML/XHTML, CSS, Javascript
• Coding experience with Java, C/C++, or Python
• Experience with SQL
• GPA 3.0 and above

We are paying $15 per hour, 10-15 hours per week for the semester. The project may last more than one year. Anyone who is interested, please forward resume to zhouj@mailbox.sc.edu.

Advertised Job Summary The successful candidate will be responsible for participating in a full cycle of software engineering duties in the areas of artificial intelligence and big data. These duties include: oral and written communication tools and techniques; technical training and tutorials, software development principles and methods for design, development, testing and implementation of new or modified software; commonly used languages, methods, algorithms and practices; software validation and distribution tools; and technical writing and documentation practices. Minimum Qualifications (Classified and Unclassified positions) Master’s degree in engineering or engineering related field, or bachelor’s degree in engineering or engineering related field and 2 years related experience. Preferred Qualifications Experience with big data and scalable platforms, social media analysis, and deep learning of images. Demonstrated experience in full stack engineering and development of functionally rich tools. Knowledge/Skills/Abilities Programming: Java, JavaScript, Python, Web App Framework (e.g., Django). Databases/Search: Relational data stores, NoSQL and RDF data stores, SQL and SPARQL, Lucene and Elasticsearch, Big Data, Cloud Computing and Virtualization Platforms: Hadoop/MapReduce, Apache Storm, Kafka, Redis, Virtualization solutions such as OpenStack/EC2. Machine Learning/Deep Learning tools: at least one of: TensorFlow, PyTorch, Keras Other Technologies/DevOps: Linux environment (esp. clusters), shell scripting, Version control using GitHub, Backbone/Marionette JS, Ansible, Docker, Vagrant, Kubernetes More information and apply here.