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Education and Outreach Programs

Research Aide Position List

Please complete online application and send cover letter (include position applying for) and resume to Lisa Reed - Lisareed@​anl.​gov

Position Focus: Digital Content Management

Host Division: Communications & Public Affairs

Time: Summer 2020

Internship Description:

  • This role will touch many areas within the organization, including internal communications and information technology teams, to help the intranet improve how the Argonne community works.
  • Assist the digital communications team in migration of content and assets from Argonne’s legacy intranet into its new one using the Drupal content management system (CMS).
  • Assist with gathering, organizing, rewriting, and assembling content within the CMS.
  • Assist with content review with stakeholders to ensure content and assets have been migrated effectively and revise approach as needed based on received feedback.

Student Requirements:

  • Experience with content management systems such as Drupal and WordPress.
  • Completed freshman year of college and maintain a grade point average of 3.0 on 4.0 scale.
  • Majors: Any that foster analytical thinking, attention to detail, and problem solving.
  • A desire to participate in a dynamic work environment with competing deadlines.
  • Highly motivated and self-starting.
  • Excellent written and oral communication skills.

Application Deadline: March 1, 2020

Host Division: Energy and Global Security

Time: Summer 2020

Note: Only open to students at College of DuPage.

Internship Description:

  • Assist the EGS scientists in performing their ongoing research. This involves system analysis, process safety, risk analysis, reliability studies, and physical security assessment.
  • The work will vary by position and will consist of helping in online research and data acquisition, data organization and presentation, and laboratory work.
  • Assistance in ad-hoc project management and planning and other related activities.
  • Presentation of research findings to supervisors and peers in formats including written reports, oral presentations, and academic posters.

Student Requirements:

  • Currently enrolled full-time in natural science, engineering, mathematics, computer science, automotive, HVAC, welding, and other STEM and applied technology fields at COD.
  • Completed one year of schooling and maintain a grade point average of 2.8 on a 4.0 scale.

Preferred Consideration:

  • Given to students who are involved in extracurricular activities pertaining to these disciplines: College of DuPage Society of Women Engineers and/or College of DuPage Engineering Club, Robotics Club, and others.
  • Cover Letter must include:
    • Expected graduation/transfer date
    • Intended university you plan to transfer to and your expected major or post-graduation plans
  • Resume must include:
    • Major
    • Minor (if applicable)
    • Current grade level
    • Start date (month/year) at COD
    • Expected date of graduation/transfer
    • Grade point average (4.0 scale)
    • Extracurricular activities
  • Personal statement that includes 200-300 words telling a story that will help us get to know you. This should include career goals, hobbies, events that have inspired you to pursue your academic choice, and describe the effects of valuable lessons that you may have learned from a life experience.
  • Two letters of recommendation - one from a professor or academic adviser, one from someone you have interacted in a professional capacity (employer or colleague who is not a family member).
  • Official or unofficial transcript(s) are required for all college/universities attended.

Application Deadline: February 18, 2020

Position Focus: Cyber Security Data Analytics & Visualization

Host Division: Energy Systems Division

Time: Immediately

Internship Description:

The selected candidate will develop a holistic attack-resilient architecture for Advanced Distribution Management System (ADMS) by identifying, quantify and actively monitor its vulnerabilities from malicious cyber-attacks.

  • Build a scalable, customizable and flexible data visualization tool that can be deployed on a server based or server-less platform.
  • Capable of applying his programming and analytical expertise to efficiently examine and visualize large and dynamic datasets meaningfully with a goal of developing reports and metrics.
  • Communicate with a multi-disciplinary team of researchers to share his findings and seek regular feedback on the design, configuration and development of the tool.
  • Responsible for creating several UI components that will directly and indirectly interact with the tool.

Student Requirements:

  • Completed/Ongoing BS and MS degree from an accredited institution in computer science, computer engineering, graphic design or a closely related technical field.
  • The applicant should have a prior experience developing data visualization tools using modern UI/UX as well as web technologies with a focus on enhancing user interaction based on user feedback. Shortlisted candidates for interview may be asked to present a portfolio of their work.
  • Excellent software development skills in python or java and their associated graph visualization libraries (d3​.py, d3.js), APIs, etc.
  • Knowledge of data structure fundamentals, bootstrap, react and other web user interface and some backend programming is preferred.
  • Good understanding of best practices in user interface, data visualization, code modularity and maintainability, documentation.
  • Ability to work on the tasks independently with little guidance.

Preferred Experience:

  • The applicant should have a prior experience developing data visualization tools using modern UI/UX as well as web technologies with a focus on enhancing user interaction based on user feedback. Shortlisted candidates for interview may be asked to present a portfolio of their work. Experience with personal software development.
  • Knowledge of data structure fundamentals, bootstrap, react and other web user interface and some backend programming is preferred.
  • Understanding of RESTful API; proficiency with database interaction; and excellent UI design sense.

Position Focus: Web Application Development

Host Division: Energy Systems Division

Time: Immediately

Internship Description:

The selected candidate will design and develop a proposal management system-a web based application that helps researchers plan, manage, and track proposal preparation.

  • Design and develop a complex web application.
  • Connect and use a database for data exchanges.
  • Design user interface for new web page.
  • Analyze the requirement from users.

Student Requirements:

  • Undergraduate or Graduate.
  • Experience with web application development including front-end, web-server, and database.
  • Experience with the full software engineering process.
  • Proficiency with HTML, CSS, JavaScript, jQuery, SQL.
  • Understanding of Object-Oriented Programming.
  • Understanding of MVC pattern.
  • Excellent problem-solving skills.
  • 3.0 GPA on 4.0 scale.
  • A desire to participate in a dynamic work environment with competing deadlines.
  • Ability to be highly motivated and self-starting.

Preferred Experience:

  • Experience with web development frameworks such as ReactJS, AngularJS, and VueJS.
  • Experience with personal software development.
  • Understanding of RESTful API.
  • Proficiency with database interaction.
  • Excellent UI design sense.

Position Focus: Reverse Manufacturing Optimization

Division: Energy Systems Division

Time: Immediately

Internship Description:

Argonne is supporting the Department of Energy, Advanced Manufacturing Office, on a multi-laboratory strategic analysis team. With researchers at LBNL, NREL, and ORNL, we evaluate the feasibility and life cycle impacts of sustainable manufacturing. For this project, we want to extend the capability of our tools for optimizing reverse manufacturing (e.g. recycling) logistics, while accounting for the associated energy, emissions and economic implications. This will involve literature review, mathematical optimization, machine learning and data analysis.

Under the guidance of the PI(s), the student will perform the following tasks:

Phase 1:

  • Review literature and collate relevant data.
  • Critically assess existing code (in python).
  • Further develop and validate it for the proposed analysis.
  • Perform analysis and generate visualizations that illustrate key outcomes for selected case study.
  • Update documentation and publish code to our internal repository.
  • Contribute to our planned publication.

Phase 2:

  • Reformulate the model to a generic version for a selection of location optimization problems.
  • Extend the code for uncertainty analysis and quantification.
  • Publish code to public repository (GitHub).

Student Requirements:

  • Graduate level.
  • Engineering, Computer Science or Operations Research background.
  • Proficiency in Python.
  • Familiarity with scientific computing, mathematical optimization and machine learning.
  • At least 3.0 GPA on 4.0 scale.
  • A desire to participate in a dynamic work environment with competing deadlines.
  • Ability to be highly motivated and self-starting.

Position Focus: Data Energy Efficiency

Host Division: Energy Systems Division

Time: Immediately

Internship Description:

Argonne is supporting the Department of Energy, Advanced Manufacturing Office, on a multi-laboratory strategic analysis team. With researchers at LBNL, NREL, and ORNL, we evaluate the manufacturing and life cycle impacts of the emergent connected economy. For this strategic analysis project, we are developing a data-centric analysis approach for assessing the costs and energy consumption associated with information and communication technologies (ICT) for the connected economy. The project involves quantifying the energy and environmental footprint of data flows through connected systems.

Under the guidance of the PI(s), the student will perform the following tasks:

  • Critically assess and validate the models developed to-date, including benchmarking against energy data collected from operating devices in Argonne’s data centers.
  • Extend the models to account for all major contributions (i.e., hardware, software, utilization) to energy consumption as a function of data flows or processing.
  • Apply the models to selected case studies.
  • Document and publish to our internal software repository.

Student Requirements:

  • Graduate level.
  • Computer Science or Engineering background.
  • Proficient with Python.
  • Familiar with scientific computing and machine learning.
  • Familiarity with data centers and advanced computing hardware is a plus, but not required.
  • 3.0 GPA on 4.0 scale.
  • A desire to participate in a dynamic work environment with competing deadlines.
  • Ability to be highly motivated and self-starting.

Position Focus: Power Systems & Market Research

Host Division: Energy Systems Division

Time: January 2020

Internship Description:

The candidate will develop power systems and electricity market modeling, and analytics tools that support energy, economic, and financial analyses of power grid planning and operations, and the interaction with other infrastructures. Some of these tools will require the development of underlying optimization methodologies and analytics frameworks. The candidate will conduct research related to a wide range of topic areas including the analysis of energy and power systems, optimization of renewable energy integration, electricity market design and operation, integration of other emerging technologies, and interdependencies between power grid, transportation, and water systems.

  • Provide support to develop and implement power grid planning/operations algorithms and tools and conducts data analysis related to energy and power systems, with emphasis on the following areas: (1) renewable energy integration; (2) optimization and stochastic modeling methodologies; (3) energy storage, and (4) electricity market analysis.
  • Supports multidisciplinary teams in the application of these methods and tools to complex issues in the domains of environmental, water, and energy system analysis.
  • Prepares reports, papers, and presentations for conferences, workshops, and technical journals.
  • Supports program development including the preparation of proposals and participating in sponsor interactions.
  • Apply the models to selected case studies.
  • Document and publish to our internal software repository.

Student Requirements:

  • Graduate level.
  • Computer Science or Engineering background.
  • 3.0 GPA on 4.0 scale.
  • Knowledge of data analytics, power systems operations & market design, issues surrounding the integration of variable renewables, & environmental issues.
  • Experience in statistics & statistical analysis.
  • Understanding of basic financial & economic principles.
  • Experience in academic writing & publication.
  • Ability to be highly motivated and self-starting.