Savannah River National Laboratory Internships
Expected Start Date: The program is 10 weeks in duration, starting May 21, 2018. Start date is flexible based on laboratory and candidate availability.
Application Deadline: January 12, 2018
Location: Savannah River National Laboratory, Aiken, SC
Salary: Selected candidate will be compensated by either a stipend or salary, and may include one round trip domestic travel to and from the host laboratory. Stipends and salaries will be commensurate with cost of living at the location of the host laboratory. Housing information will be provided to interns prior to arrival at the host laboratory, and will vary from lab to lab.
Summer Chemist DOE-MSIPP-18-1-SRNL
The successful candidate will be a current undergraduate or graduate student pursuing a degree in chemistry, or related field.
Desired skills: Completion of instrumental coursework and/or analytical instrument experience and/or scientific programming and/or introductory statistics are preferred. A course in linear algebra is desirable but not necessary.
The intern will support the Savannah River National Laboratory Analytical Research and Development group. The intern will have the opportunity to work with a diverse group of scientists and support personnel and perform hands-on work with several types of analytical spectroscopy methods, potentially including UV/vis absorbance and reflectance, Raman, infrared, and statistical data analysis. The intern will provide technical support for the:
- Design, development and packaging of process control and monitoring instrumentation,
- Performance testing of instrumentation and analysis methods,
- Sample measurement, analysis of data, preparation of procedures and reports, and
- Development and fabrication of support equipment such as fiber optic cables.optimum conditions and configuration for treatment. Solids characterization studies will provide insights to the mechanisms of Tc incorporation into iron phases.
Summer Intern, Information Technology, Data Management DOE-MSIPP-18-2-SRNL
The successful candidate will be a current undergraduate or graduate student pursuing a degree in information technology, data management, computer science, or related field.
- In supporting the MSIPP, the intern will be involved in activities including but not limited to:
- Creating/maintaining spreadsheets to support MSIPP finanical/budget spending;
- Ensuring data quality, accuracy and completeness of research proposal invoices; and
- Enhancing existing data collection, management and analysis systems to streamline implementation of monitoring and evaluation activities.
Control Radiation Detector via Android DOE-MSIPP-18-3-SRNL
The successful candidate will be a current undergraduate or graduate student pursuing a degree in computer science, chemistry, physics, electrical engineering, mathematics, life, health, and medical sciences, or related field.
Desired skills: At a minimum, student should be familiar with Java and C++ programming. Preferred candidates will be experienced Android developers, with experience using the JNI to talk with native C++ code. Ideal candidates will be experienced in developing hardware driver software for Linux.
This project will focus on refining a previously developed Android application that is used to control radiation detectors via USB. The goal will be to develop 2 applications:
- A full featured user application that can control all features of the radiation detector from the user interface as well as acquire, display, and save a measured spectrum.
- The second application will use the same backend as the first application, except will display a minimum of user controls. This application will be designed to be operated by a minimally trained personnel.
If time is available, we will begin work on developing code to detect the type of radiation detector connected to the Android device and develop a driver or drivers to communicate appropriately with these devices.
Advanced Process Modeling and Simulation DOE-MSIPP-18-4-SRNL
The successful candidate will be a current undergraduate or graduate student pursuing a degree in chemical engineering, or related field.
Desired skills: Interest in computational simulation, a strong background in fundamentals of chemical engineering (fluid flow, transport, mass transfer, thermodynamics, numerical simulation, etc.), familiarity with process simulation software such as Aspen, gProms, Hysys, etc., advanced mathematics skills, experience with Linux operating system and script coding or computer science courses, and strong communication and writing skills.
The Environmental Stewardship Directorate has been at the forefront of work at DOE’s Savannah River Site (SRS); playing an essential role in the success of Environmental Management (EM) operations at SRS, and an increasingly important role in the success of EM’s broader national program. We are focused on developing and deploying real solutions that address our client’s most critical problems. Our innovative approaches for improving and validating critical processes and our execution of tests and analyses touch a broad range of EM activities from large projects such as the Hanford Waste Treatment & Immobilization Plant, to critical support for small site remediation, to waste mixing and treatment options, to the development and deployment of new technologies through DOE-funded programs. The Environmental Stewardship Directorate’s impact on the DOE-EM mission is measured in billions of dollars of lifecycle cost saved and multiple years removed from clean-up schedules. (http://srnl.doe.gov/about/enviro_restoration.htm)
For this internship, the selected candidate will:
- create steady state and dynamic models of complex, real chemical processes
- creatively use numerical simulation tools to solve problems
- collaborate closely with senior level engineers
- develop custom chemical process models
- develop critical thinking skills
The intern will typically modify existing and/or develop new models that will be integrated into complex numeric simulation systems.
An intern at SRNL will be exposed to engineers and scientists working in many disciplines. Interns will have the opportunity to network with other interns and learn about the many opportunities at the SRS in addition to that of SRNL.
Radiation Resistant Material and Radiation Sensors DOE-MSIPP-18-5-SRNL
The successful candidate will be a current undergraduate or graduate student pursuing a degree in engineering, nanotechnology, chemistry, physics, or related field.
Desired skills: The candidate needs to be pursuing a bachelor’s and completed most of their introductory courses. This includes general chemistry, physics, calculus, and/or general engineering courses with their respective labs. Additionally, candidates should have strong oral and written skills and familiar with Microsoft word, excel, and PowerPoint.
Lab experience including weighing samples, measuring volumes, using syringes, and recording data is essential to this work. Additionally, any experience in engineering or building materials is useful.
The intern will be investigating various materials for their use in novel radiation resistance and sensing. Tasks include preparing polymer films, foams, and sensors, and characterizing their properties using analytical techniques (e.g. UV-Vis, FTIR) for stability and solubility studies. The intern will also be involved in developing a dispersal system for polymer solutions involved in fixative type polymers.
Advanced Modeling of Contaminant Fate and Transport in Soil and Groundwater DOE-MSIPP-18-6-SRNL
The successful candidate will be a current undergraduate or graduate student pursuing a degree in chemical or environmental engineering, environmental science, geochemistry, physics, or related field.
Desired skills: Prefer strong background in fundamentals of chemical/environmental engineering (fluid flow, transport, mass transfer, thermodynamics, numerical simulation, etc.). A bonus would be familiarity with uncertainty/error analysis, aqueous chemistry, and/or Python/FORTRAN programming experience.
An internship in the environmental modeling group at the Savannah River National Laboratory will generally involve application of numerical simulation tools to model flow and contaminant transport phenomena in support of US Department of Energy Performance Assessments of radionuclide waste disposal and site environmental remediation projects. The intern will typically modify existing and/or develop new models of rainfall infiltration, groundwater flow, vadose zone flow, and/or transport of radionuclides and other inorganic and organic chemicals through waste forms, engineered caps and barriers, and/or environmental media (air, groundwater, soil). Model simulations may be performed to provide best-estimate forecasts of waste disposal or environmental treatment performance, determine model sensitivity to input parameters, and/or quantify uncertainty in model predictions. Insights and results gained from modeling tools will be documented in one or more technical reports and posters.
The project(s) for this internship will involve use of one or more of the following simulation tools: GoldSim Monte Carlo Simulation Software, HELP (Hydrologic Evaluation of Landfill Performance) model for predicting infiltration through waste disposal closure caps, OLI Systems aqueous electrolyte chemical equilibrium modeling software, and The Geochemist's Workbench fate and transport modeling software.
Improving a Coincidence Detector System DOE-MSIPP-18-7-SRNL
The successful candidate will be a current undergraduate or graduate student pursuing a degree in computer science, engineering, mathematics, chemistry, physics, or related field.
Intern’s educational background should include course work in a stem field like chemistry, physics, engineering, or something similar. Intern should have completed advanced laboratory coursework involving the use of instrumentation or electronics.
Desired skills: Experience with detection instruments in advanced chemistry or physics laboratory courses involving analyzing samples and reviewing data and experience in a C based programming language.
The project will involve investigating, implementing, and evaluating improvements to a coincidence detector system with scientists at SRNL. Potential improvements could include upgrading the system from double to triple coincidence and implementing correction algorithms. The intern will have the opportunity to gain experience with both software and hardware development for nuclear science applications.
Computational Modeling and Analysis Engineer DOE-MSIPP-18-8-SRNL
The successful candidate will be a current undergraduate (rising senior) or graduate student pursuing a degree in mechanical, nuclear, or chemical engineering, or related field.
Desired skills: Applicant should be full-time graduate (or senior year) student in Mechanical Engineering (or Nuclear/Chemical Engineering) with a focus on thermal transport and fluid flow and heat transfer background and desirably possess some computational skills such as Computational Fluid Dynamics (CFD) software, ANSYS-FLUENT.
Environmental Modeling Organization is looking for an undergraduate (rising senior) or graduate full-time student for a 2017 Summer Internship position in Savannah River National Laboratory (SRNL). The position will encompass the computational and data analysis of a fluid flow and heat transfer technology for the nuclear material storage and waste processing facilities at Savannah River Site (SRS). The candidate will work and collaborate extensively with experienced researchers working on both experimental and computational investigations during Summer time, typically, the June through August period.
Gamma-Ray Imaging with Robotic Data Collection DOE-MSIPP-18-9-SRNL
The successful candidate will be a current undergraduate or graduate student pursuing a degree in computer sciences, earth and geosciences, engineering, chemistry, physics, mathematics, or related field.
Desired skills: Experience with radiation detectors and/or basic coding skills are favorable but not required.
This project involves making measurements of contaminated areas using portable radiation detectors and small robots. Intern’s tasks will involve learning how to operate detectors and robots, combining data acquisition for the two systems, and automating the systems. The end result will be a radiation map of contaminated areas.
Exploring Alternatives to Li-ion Batteries DOE-MSIPP-18-10-SRNL
The successful candidate will be a current undergraduate or graduate student pursuing a degree in physics, chemistry, materials science, electrical engineering, mechanical engineering, chemical engineering, or closely related field.
Desired skills: Familiarity with battery technology, Molecular Dynamics software (e.g. LAMMPS), density functional theory, and programming skills (python, FORTRAN, C++, etc.).
Li-ion batteries have interesting properties. Cs-137 is a prevalent waste material at SRS and belongs to the same group as Li. Using materials science software (e.g. molecular dynamics, density functional theory, etc.), investigate the properties of Cs-137 and assess the feasibility of using Cs as an alternative battery material. Additionally, investigate the implications of the radioactive decay of Cs-137 to Ba-137 if Cs was to be used as a battery material.
Summer Intern, Environmental Compliance DOE-MSIPP-18-11-SRNL
The successful candidate will be a current undergraduate or graduate student pursuing a degree in environmental science or engineering, chemistry or chemical engineering, biology, or related science.
Desired skills: Experience with Excel spreadsheets and database programs (e.g., Filemaker) is preferred but not required. Some chemical knowledge and basic math skills are favorable.
The intern will support the Savannah River National Laboratory Waste, Regulatory, and Environmental Compliance group. The intern will learn how to characterize, manage, and dispose of a variety of laboratory chemicals and wastes. The intern will also develop a database to house data used to characterize chemicals/waste, input existing and new data, and develop reports from the database.
Summer Intern, Particle Size Analysis DOE-MSIPP-18-12-SRNL
The successful candidate will be a current undergraduate or graduate student pursuing a degree inchemistry, physics, or a closely related field.
Desired skills: Completion of instrumental coursework and/or analytical instrument experience and/or scientific programming and/or introductory statistics.
This project is to establish a correlation between particle size measurement using an industry standard particle size analyzer and microscopy combined with image analysis. Initially work will begin with a particle size standard and may progress to more real-world examples, depending on how the project progresses. The first step would be sample preparation for microscopy to determine how to prepare samples for microscopy in a way that allows for image analysis. This will be an iterative process, depending on the ability to prepare a sample and develop results from that sample. At a minimum, the intern will be exposed to image analysis and sample preparation for microscopy. The intern will take microscopy images and analyze them using image analysis software. The image analysis results will build a particle size distribution that will be compared to that measured by the industry standard particle size analyzer. We anticipate that the methods may not correlate exactly and are trying to determine what the differences are as a particle size instrument is much quicker at developing a particle size distribution, but does rely on many assumptions built into the model, while microscopy does not rely on any models, just statistics. At the end of the internship, the intern will generate and present a poster on the work he/she performed.
Summer Intern, X-Ray Chemist DOE-MSIPP-18-13-SRNL
The successful candidate will be a current undergraduate or graduate student pursuing a degree in chemistry, physics, scientific computing, material science, or related scientific field.
Desired skills: Completion of instrumental coursework and/or analytical instrument experience and/or scientific programming and/or introductory statistics are preferred.
The project would be an investigation in the analytical method of X-Ray Fluorescence (XRF), the components of sample preparation, learning how to develop new analytical methods, and an introduction into statistical analysis of results. The project will explore in the laboratory how to prepare samples for XRF, this will include weighing samples, grinding samples by hand in a mortar, and using a furnace to flux the sample into a glass. They will make multiples, at least 5, of the same sample so that a statistical analysis can be done. This will allow them to see if the preparation they did can generate consistent results. The participant will not be allowed to use any X-Ray generating equipment, but will be able to observe the PI using the equipment. After the samples the participant made are analyzed the data will be given to the participant so that a statistical analysis can be done. After one sample has been sufficiently characterized, a second and third sample will be analyzed as well. On top of analyzing unknown samples, they will also explore how standards are chosen and the importance of standards in analytical chemistry. At the end of the summer they will generate and present a poster on the work they did.
Robotic and Sensor Systems Internship (2 internships) DOE-MSIPP-18-14-SRNL
The successful candidates will be undergraduates (rising junior or above) or graduate students (MS) pursuing a degree in Computer Science, Earth & Geosciences, Engineering, Chemistry, Physics, or a closely related field.
Desired skills: Education and experience working with sensors and/or robotic systems, software programming of robotic sensors and experience with the Robotic Operating System (ROS) and/or C++ or C#, and experience with concrete sensors for remote applications.
The project involves participating as a member of a R&D engineering team identifying, developing and testing sensor technologies for remote inspections, e.g. 3-D mapping via LIDAR, high resolution video, concrete thickness, radiation detection, air quality monitoring. Developing the sensor data collection system and user control interface to the robot/remote system. Integrating sensors onto a robotic platform or remote system. Interns will participate on the team according to their expertise and education.