Undergraduate Student Summer Intern - Algorithm Development

The US Army Research Institute of Environmental Medicine (USARIEM), Health Readiness and Performance System (HRAPS) is offering two (2) bachelor's-level summer learning opportunities at the Natick, Massachusetts, facility.

You will join a community of scientists and researchers in an effort to develop sensors and algorithms that can prevent Soldier illness/injury and also use those sensors to optimize Soldier performance. As part of the HRAPS program we are developing a heat injury illness algorithm and algorithms to pace Soldiers as they complete a known training exercise such as a 12 mile ruck march. To improve and validate the heat injury prevention algorithm we are automating our data analysis pipeline. For the validation of the pacing algorithm we are developing a real-time feedback smart phone App that can automatically pace Soldiers or study volunteers.

Under the guidance of a mentor, you will gain hands-on experience to complement your education and support your academic and professional goals. As part of this learning experience you will have an opportunity to learn the end-to-end data collection process of a large field research study, including how to collect data in the field with military personnel. This learning experience will also provide you with an opportunity to learn industry standards for data processing, cleaning, and analysis. You will learn advanced machine learning approaches to identifying and classifying exertional heat injuries, and how to translate advanced Artificial Intelligent algorithms to an Android Smart phone platform. By the end of this experience you will gained the knowledge and understanding of industry standards in writing code for a smart phone, ergonomic design aspects such as information flow and human computer interaction principles.

Natick, Massachusetts (some travel to US Army and Marine bases for data collection may be required)

The USARIEM is ready to make appointments effective May 31, 2021. Exact start dates will be determined at the time of selection and in coordination with the selected candidate. Applications are reviewed on an ongoing basis and internships will be filled as qualified candidates are identified.

An ORISE appointment period can be a short-term (less than 2 weeks), summer (10-12 weeks), or year-long appointment. Appointments may be extended depending on funding availability, project assignment, program rules, and availability of the participant. 

You will receive a stipend to be determined by Department of Defense (DoD). Stipends are typically based on a participant’s academic standing, discipline, experience, and research facility location. Other benefits may include the following:

The participant will not enter into an employee/employer relationship with ORISE, ORAU, DOD, or any other office or agency. Instead, the participant will be affiliated with ORISE for the administration of the appointment through the ORISE appointment letter and Terms of Appointment.

The US Army Research Institute of Environmental Medicine (USARIEM) is an internationally recognized center of excellence for Warfighter health and performance science located in Natick, Massachusetts. USARIEM functions as a world-class laboratory for research related to environmental medicine, biophysics and biomedical modeling, military performance, thermal physiology, physiology, and nutrition.

For more information about the USARIEM, please visit https://www.usariem.army.mil/.

 

Participants should be working towards a Bachelors in a biomedical or computational science field (such as biomedical engineering, or computer science). Participants should have familiarity with advanced coding languages such as C# and Java, and have demonstrated this in developing their own programs. Participants should have experience programming within statistical software programs (such as Matlab or equivalent). Participants should have a general knowledge of basic statistics, i.e., how to use descriptive and analytical statistics such as a t-test.