<p>Title:</p> <p>Post Doctoral Research Associate</p> <p>Department:</p> <p>Biological Sciences</p> <p>Reports To:</p> <p>Professor</p> <p>Position Type:</p> <p>Staff</p> <p>Position Summary:</p> <p>We are seeking an experienced researcher to assist in the development of and simulation of a robot algorithm for a self-assembling conveyor system. The postdoc will work alongside Drs. Simon Garnier, Jason Graham, and Petras Swissler to rigorously develop, analyze, and validate a slime-mold-derived algorithm, simulate the algorithm using a high-fidelity robot simulator such as ROS, and assist in deploying the algorithm on real-world robot hardware. We eventually aim to transition this project to a self-sustaining startup company.</p> <p>Essential Functions:</p> <ul> <li>Perform rigorous validation of a bio-inspired routing algorithm. </li><li>Develop a low-level library implementing the building blocks of the algorithm and the bindings for high-level languages such as Python. </li><li>Implement the algorithm in a high-fidelity simulation environment and assist in deploying the algorithm on real robot hardware. </li><li>Collaborate with other team members across three universities, including collaborators on robot hardware, UI, executing pilot studies, and mentoring graduate and undergraduate students. </li><li>Participate in weekly project meetings. </li><li>Author publications pertinent to research performed. </li></ul> <p>Prerequisite Qualifications:</p> <ul> <li>Doctoral degree in Computer Science, Software Engineering, Robotics, or a related field. </li><li>Excellent communication skills with academic and industry partners. </li><li>Experience with robot simulators such as ROS. </li><li>Strong organizational and skills with experience working in a multidisciplinary environment. </li><li>Authorized to work within the US. </li><li>At the university's discretion, the education and experience prerequisites may be exempted where the candidate can demonstrate to the satisfaction of the university, an equivalent combination of education and experience specifically preparing the candidate for success in the position. </li></ul> <p>Bargaining Unit:</p> <p>AFT-UCAN</p> <p>Salary Information:</p> <p>In compliance with the NJ Pay Transparency Law, the negotiated starting annual salary for this position is $75,000 (USD). NJIT considers factors such as (but not limited to) scope and responsibilities of the position, candidate's work experience, education/training, key skills, internal peer equity, as well as, market and organizational considerations when extending an offer. This pay range represents base pay only and excludes any additional items such as incentives, bonuses or other items.</p> <p>To learn more about the comprehensive benefits NJIT offers for this position, please visit our benefits page: https://hr.njit.edu/health-benefits.</p> <p>FLSA:</p> <p>Exempt</p> <p>Full-Time</p>