Digital Grid Software Intern: Build 3D Viz & ML Apps

Aspen Technology, Inc.; Medina (MN); On-site; USD 33,000 - 39,000; Full time

Job summary

AspenTech invites energetic students to join the Summer Internship Cohort to work on projects supporting Digital Grid Management. You will develop rich client applications to visualize the power grid using OpenGL and WebGL, build web apps with Angular to analyze outages and predict future conditions, and create mobile tools for field crews to monitor KPIs.

You'll work with databases like Cassandra and MongoDB for BI in the control center and explore machine learning methods to predict load or

Qualifications

• Currently enrolled for Bachelor's in Computer Engineering, Electrical Engineering, Computer Science or related technical field.
• Proficiency with one or more of the following languages: C, C++, Java, Python, JavaScript, etc.
• Networking knowledge and protocols (TCP/IP, UDP, DNS, XMPP, HTTP, MSRP, XCAP, SOAP, REST, DNP, etc.).
• Familiar with platform independent tools and libraries.
• Knowledge of numerical methods and simulation of physical processes.

Responsibilities

• Develop rich client applications that allow our customers to visualize the power grid using OpenGL/WebGL.
• Develop web applications enabling analysis of outages, prediction of future conditions, and monitoring of complex systems with Angular.
• Develop mobile applications for field crews and executives to monitor KPIs.
• Develop Big Data applications leveraging Cassandra and MongoDB for BI in the control center.
• Develop applications to predict load or renewable generation using machine learning.

Skills

C

C++

Java

Python

JavaScript

Education

Bachelor's in Computer Engineering/CS/EE

Tools

OpenGL

WebGL

Angular

Cassandra

MongoDB

Job description

AspenTech invites energetic students to join the Summer Internship Cohort to work on projects supporting Digital Grid Management. You will develop rich client applications to visualize the power grid using OpenGL and WebGL, build web apps with Angular to analyze outages and predict future conditions, and create mobile tools for field crews to monitor KPIs.

You'll work with databases like Cassandra and MongoDB for BI in the control center and explore machine learning methods to predict load or