• Assistant Professor - Software and Data…

    New Jersey Institute of Technology (Newark, NJ)


    Title:

    Assistant Professor - Software and Data Engineering Technology

    Department:

    School of Applied Engr & Tech

    Reports To:

    Department Chair, School of Applied Engr & Tech

    Position Type:

    Faculty

    Position Summary:

    The School of Applied Engineering and Technology (SAET) of the Newark College of Engineering at the New Jersey Institute of Technology (NJIT) invites applications for a tenure-track Assistant Professor position in Software and Data Engineering Technology (SDET). By the time of appointment, the successful candidate must have earned a Ph.D. (or equivalent) degree, with a record of pertinent high-quality research in a related engineering field.

    Essential Functions:

    - The successful candidate is expected to teach undergraduate (and occasionally, graduate) Software and Data Engineering Technology (SDET) courses in the School of Applied Engineering and Technology (SAET).

     

    - The candidate is expected to engage in research, advise graduate students (M.S. and Ph.D.), produce technical publications in peer reviewed journals and conference proceedings, and obtain grant funding. Areas of research and academic interest of particular relevance include:

     

    - Applied Informatics/Analytics : With the proliferation of large, open-source datasets, modern computational software, and novel methods for unstructured data mining, the field of Informatics is being reimagined. Application of informatics can include medical, bio, health, energy, and materials informatics. Candidates whose research includes machine learning will be strongly considered.

     

    - Artificial Intelligence & Machine Learning : Research areas to include advanced applications of AI and machine learning, novel AI algorithms and architectures, and software engineering principles for AI systems (including topics in scalability, robustness, fairness, and verification). Areas of applications can include medicine, health sciences, materials, cybersecurity, cyber-physical systems, human-machine systems, IoT and edge computing, autonomous systems, energy and the built environment, climate science, advanced manufacturing, critical infrastructure and supply chain management, the arts, and life sciences and systems biology.

     

    - Digital Twin and Physics Based Simulation Software : Digital Twins are becoming an important technology applied to several industry areas including product design, manufacturing, and construction. Research areas include advanced applications of physics based simulation software, sensor simulation, robotics simulation, human-autonomous agent interaction, and autonomous vehicle simulation. Areas of applications can include automotive, construction, aerospace, robotics, manufacturing, product development, health and medicine, and supply chain management.

    Prerequisite Qualifications:

    -By the time of appointment, successful candidates must have earned a Ph.D. (or equivalent) degree, with a record of pertinent high- quality research in a related engineering field.

     

    - 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.

    Preferred Qualifications:

    Applicable industrial experience and prior teaching experience are highly desirable.

    Bargaining Unit:

    PSA

    FLSA:

    Exempt

     

    Full-Time

    Special Instructions to Applicants:

    Rank and salary will be commensurate with qualifications and experience. Applications must include a curriculum vitae, cover letter, research and teaching statements, and list of three (3) professional references. Questions may be directed to the department interim chairperson, Dr. Samuel Lieber at [email protected].