Why Work for CTY?

At CTY you will work with an exceptional group of students, make contacts and friendships with dynamic colleagues, and gain valuable experience in a rigorous academic community. CTY has consistently been named as one of the top internships in leading publications. We have a network of past employees now working in positions ranging from heads of school to deans of students to university professors.

The starting salary for instructors ranges from $2,400-$3,000 per 3-week session, depending on education and experience. Teaching assistants earn $1,150 per 3-week session, and residential assistants earn $1,350 per 3-week session. Salaries for administrators vary by position. Room and board are provided at residential sites.

Core Dates for 2013

Session 1: June 20 - July 13, 2013
Session 2: July 13 - August 3, 2013

Please note that the dates for some sites vary from those listed above. Visit our Site Locations and Dates page for specific employment dates at each site.

Resources for Summer Employment Applicants

• How to Apply
• Site Locations and Dates
• Positions Available
• Courses Offered
• Frequently Asked Questions
• Summer Programs and Diversity

If you have questions about summer employment with CTY, write to us at ctysummer@jhu.edu or call 410-735-6185.

Interested in securing an internship this summer? Are you interested in receiving year round training with a professional development coach, who also assists you with employment after graduation? Well look no further; apply to INROADS, www.inroads.org, today!

INROADS candidates intern with top companies like United Technologies Corporation, GE, T. Rowe Price, Washington Gas, Deloitte & Touché, PepsiCo, Lockheed Martin, JC Penney, Target and many more.

Click Here to Apply

The basic requirements include:

·Minimum 2.8 GPA (3.0 GPA for consideration most internships)

·Career interest in business, banking, manufacturing, engineering, computers and information sciences, retail store management, sales, health or marketing etc. All majors welcome to apply!

·Graduation date of December 2014 or later (2 or more summers left before graduating) except for opportunities with Target Retail Management where students with one summer remaining (December 2013 graduation) can apply.

Apply now for the BEST OPPORTUNITIES

(if you do not meet the pre qualifications, please pass on to other students who might)

Parsons in Colombia, MD is seeking interns for the following three areas.  These paid summer internships are posted on UMBCworks.  APPLY TODAY!!

Don't have an approved resume on UMBCworks, call the Shriver Center at 410-455-2493 for an appointment.  Directions on how to add your resume on UMBCworks can be found at: 
http://www.shrivercenter.org/students/internco-opresearch/how-do-i-get-started/

Computer Network Exploitation (CNE) analysis and development internship.  In this position you will work with CNE analysts and other computer security professionals to examine a  variety of tools and applications for potentially exploitable vulnerabilities.  You will then use this data to develop signatures and possibly proof of concept exploits.  Must be eligible for a TS/SCI security clearance.   

Computer security mobile application development internship.  In this position you will work with software engineers and computer security professionals to develop computer security utilities for mobile platforms such as Android, iOS, and Windows Phone.  Must be eligible for a TS/SCI security clearance.

Twenty-three CSEE graduate students will present their research at UMBC's 35th Annual Graduate Research Conference (GRC) on Wednesday 20 February 2013. Oral and poster presentations will take place between 9:00am and 12:30pm in the Commons and University Center. There will be a lunch at 1:00pm in the UC Ballroom followed by a panel on civic engagement from 1:30 to 2:15 in which UMBC graduate students, faculty and administrators will discuss activities fostering civic engagement, including graduate level courses with a community engagement component, GSA's Food for Thought project, and Dr. Shaun Kane's Accessibility Hack Day.

Here are the presentations from CSEE students.

09:00am-10:30am Oral Presentations I (Commons 329)

• Sumeet Bagde, Iterative quantum algorithms
• Jared Dixon, Laser Photothermal Therapy Using Gold Nanorods
• Ben Johnson, A Reference Advisor to an Automatic Text Understanding Engine
• Yatish Kumar Joshi, Autonomous Recovery from Multi-node Failure in Wireless Sensor Networks
• Lisa Mathews, A Collaborative Approach to Situational

9:00am – 10:00am, Poster Presentation I (University Center 312)

• Shihyu Chen, Weighted Radial Basis Function Kernels- Based Support Vector Machines for Multispectral Magnetic Resonance Brain Image Classification
• Prajit Das, Energy efficient semantic context model for managing privacy on smartphones
• Deepal Dhariwal, Text and Ontology driven Information Extraction from Clinical Narratives
• Roshan Ghumare, Distributed Average Consensus in WSN
• Clare Grasso, Identifying Safety Risks Due to Medical Treatment in Patients with Chronic Kidney Disease using KDD
• Neha Sardesai, Develop a System Analysis Model for Trace Gas Detection using a Pulsed Laser and QEPAS
• Puneet Sharma, A Cross-Layer Approach to Detection of Hardware Trojans
• Jennifer Sleeman, Online Unsupervised Coreference Resolution for Semi- Structured Heterogeneous Data
• Shiming Yang, An Adaptive Observation Site Selection Strategy for Road Traffic Data Assimilation

11:00am – 12:15pm, Oral Presentations II (Commons 329)

• Randy Schauer, Reducing Thermal Impact using Probabilistic Energy-Aware Job Scheduling
• Jon Ward, On the Use of Distributed Relays to Increase Base Station Anonymity in Wireless Sensor Networks
• Fahad Zafar, Computational Observer Approach for Assessment of Stereoscopic Visualizations in 3D Medical Data Sets
• Guohao Zhang, Is More Realism Better? Towards Finding the Effectiveness of Visual Realism on Three-Dimensional Streamtube Visualization

11:00am – 12:00pm, Poster Presentation II (University Center 312)

• Arnav Joshi, Generating a linked data resource for software security concepts and vulnerability descriptions
• Vlad Korolev,Machine Learning Methods for Assessment of Risk of Chronic Disease
• Sandhya Krishnan, Social Media Analytics : Digital Footprints
• Ravendar Lal, Information Extraction of Security related entities, concepts and relations from unstructured text
• Varish Mulwad, Exploiting Semantics in Graphical Models for Generating Linked Data from Tables