There are jobs. Then there are careers that foster you to be a
force for good in the world. The Virginia Tech Transportation
Institute (VTTI) is a world-leading safety research center working
with car companies, suppliers, and government agencies to bring
about the safe development and deployment of automated vehicles on
our roadways. Transportation is under transformation, so every day
we are approaching problems differently to make a difference in the
VTTI seeks qualified ambitious research engineers interested in
answering complex questions surrounding automated vehicle systems.
The candidate should have an aptitude for applying mechanical and
physics based analyses to research questions involving human and
vehicle interaction. The candidate should be an experienced
engineer capable of working independently and with
multidisciplinary teams to improve transportation safety through
As a Senior Research Associate, this opening is pursuing applicants
that demonstrate significant experience and skills in driving
related analysis, proficiency in programming and familiarity with
basic statistics. This position is expected to focus predominantly
on driver support systems including autonomous vehicle
Research projects range from small test-track experiments using a
single next-generation vehicle to large naturalistic studies
involving hundreds of vehicles on live roadways. The research often
features data acquisition systems to unobtrusively collect various
sensor elements with the aim of characterizing the roadway,
vehicle, and driver performance. These measures and robust data
sets are analyzed to address specific research questions that tend
to focus on the characterization of existing transportation
problems (e.g. crash causation) and/or the performance/development
of advanced vehicle systems (e.g. crash avoidance
Significant experience with working with vehicle sensor data,
signal processing, and data analysis tools is preferred. The
applicant must be comfortable and proficient in an environment
where each project has some commonalities with previous efforts but
poses many new challenges to solve.
Duties and responsibilities:|Conceptualize and organize customer
needs into feasible open-road experiments, test track experiments,
or analysis of large scale naturalistic driving databases as is
appropriate.|Apply fundamental physics and engineering concepts to
quantify driving situations particularly related to safety.|Develop
program code for robust distillation of sensor and questionnaire
data into informative summary data|Conduct routine data analysis
and determine the accuracy and completeness of the data
collected|Develop analysis code to process vehicle measures (e.g.,
accelerations, yaw, range to other vehicles) and describe or model
events and alternative outcomes.|Write well documented, concise,
and reliable code to perform various analysis tasks and subtasks of
larger analyses.|Generate graphical and tabular summaries of large
quantities of analyzed data.|Oversee instrumentation of vehicles to
support research needs|Coordinate research support activities
including video reduction tasks and recruiting|Execute appropriate
statistical analyses for different research applications.|Oversee
the daily operations of a project including schedule and budget
maintenance.|Develop proposals and statements of work|Interface
directly with sponsors to understand requirements and deliver
technical presentations|Travel to research sites (requirement
fluctuates but will generally be <25%)|Research and compose
literature reviews|Compose, review, and critique reports and
research plans|Present research findings
Directions given and received:
• Communicate project objectives, provide feedback on proposed
research plans, and manage project logistics as a principal
investigator and project managers.
• May supervise or coordinate the work of other research
associates, graduate research assistants, students, technicians,
and research staff who assist in specific assignments.
• Must be able to work effectively independently as well as within
multidisciplinary project teams as appropriate.
- Ph.D. in Mechanical Engineering, Industrial Engineering or
Electrical and Computer Engineering, Human Factors Engineering,
Experimental and Human Factors Psychology, or similar fields.
Candidates with a lesser degree and significant relevant experience
will also be considered.
- Demonstrated experience and successes applying programming. in
transportation or related field.
- Working knowledge of mechanical engineering / engineering physics
- Ability to lead project teams and oversee project schedule,
budgets, and deliverables.
- Demonstrated strong writing and organizational skills.
- Solid understanding of engineering principles needed to analyze,
verify, and interpret work.
- Proficient in data processing and analysis.
- MATLAB and/or python programming experience.
- Machine Learning/Deep Learning/Artificial Intelligence
- Database programming.
- Motorcycle familiarity.
- Motorcycle license/endorsement.
Commensurate with Experience
The successful Candidate will be required to have a criminal
About Virginia Tech
Dedicated to its motto, Ut Prosim
(That I May Serve),
Virginia Tech pushes the boundaries of knowledge by taking a
hands-on, transdisciplinary approach to preparing scholars to be
leaders and problem-solvers. A comprehensive land-grant institution
that enhances the quality of life in Virginia and throughout the
world, Virginia Tech is an inclusive community
to knowledge, discovery, and creativity. The university offers more
than 280 majors to a diverse enrollment of more than 36,000
undergraduate, graduate, and professional students in eight
, a school of
, a veterinary
college, Graduate School
, and Honors College
. The university
has a significant presence across Virginia, including the Innovation Campus
in Northern Virginia; the Health Sciences and Technology Campus in
Roanoke; sites in Newport News and Richmond; and numerous Extension offices
. A leading global research institution, Virginia Tech
conducts more than $500 million in research annually.
Virginia Tech does not discriminate against employees, students, or
applicants on the basis of age, color, disability, sex (including
pregnancy), gender, gender identity, gender expression, genetic
information, national origin, political affiliation, race,
religion, sexual orientation, or veteran status, or otherwise
discriminate against employees or applicants who inquire about,
discuss, or disclose their compensation or the compensation of
other employees or applicants, or on any other basis protected by
If you are an individual with a disability and desire an
accommodation, please contact (Lisa Eichelberger)
during regular business hours at least 10
business days prior to the event.
June 24, 2021