Clemson University: College of Engineering, Computing and
Applied Sciences: Automotive Engineering
Post Doctoral Fellow
Location: Greenville, SC
The postdoctoral fellow will participate in an
interdisciplinary, funded research project related to Deep
Reinforcement Learning for Cyber-Physical Vehicle Systems operating
in unstructured environments within the broader Autonomy Focus Area
of Clemson's VIPR-GS research center (see details below).
This project engages 6 faculty researchers and 6 Ph.D. students
from across 4 departments: Automotive Engineering, Mechanical
Engineering, Electrical Engineering and Computer Science.
The postdoctoral candidate is expected to provide
research-coordination within this larger team and should have
strong technical, communication, and project management skills.
Specific duties include: (1) Developing multi-scale
reinforcement learning models for perception, localization,
planning, and/or control of connected and autonomous cyber-physical
vehicles; (2) Verifying and validating models with physical robots
and full-sized vehicles, (3) Formalizing tradeoff analyses of a
spectrum of data-driven vs physics-informed machine-learning
deployments for performance/reliability/robustness, (4) Working
with the research-team to understanding the impact of delays and
uncertainties, (5) Leading the development of manuscripts and
reports, (6) Participating in proposal development, (7) Mentoring
graduate and undergraduate students within the research team, and
(8) Other duties as assigned.
Required qualifications: PhD degree in engineering,
computer-science, or a related field (within the last three years
or soon to graduate) with a focus on autonomous systems; strong
analytical and problem solving skills; ability to work both
independently and collaboratively; experience with supervising
students, technicians, and researchers; strong communication skills
with examples of technical papers and presentations; documented
Differentiating Factors: Experience with frameworks such
as ROS, TensorFlow, PyTorch, Mathworks RTW/dSpace; CAE toolchains
(e.g. MSC/Hexagon, SIEMENS); general proficiency in design,
hands-on prototyping; familiarity with Institutional Review Board
(IRB) process; willingness and ability to acquire new skills and
knowledge as needed during the project.
The position is available January 1, 2022 with an initial
appointment for one year and possibility for extension for
additional years. Candidates should submit (1) a cover letter, (2)
a curriculum vitae, (3) 2 sample papers, (4) research statement,
(5) portfolio of past research, and (6) list of 3 references with
full contact information to Interfolio (http://apply.interfolio.com/99991).
The review of applications will begin immediately and continue to
be accepted until the position is filled.
For inquiries please contact Prof. Venkat Krovi,
email@example.com, Michelin SmartState Chair Professor of Vehicle
Automation, Clemson University. Please note that US
citizenship/Green Card is not necessarily required, but non-US
persons will need to go through an approval process by the
Clemson University is an AA/EEO employer and does not discriminate
against any person or group on the basis of age, color, disability,
gender, pregnancy, national origin, race, religion, sexual
orientation, veteran status or genetic information. Clemson
University is building a culturally diverse faculty and staff
committed to working in a multicultural environment and encourages
applications from minorities and women.