Assistant Professor

Title: Assistant Professor of Engineering

School/Department: School of Engineering/Department of Digital Engineering

Campus: Brooklyn or Post Campus, New York

Salary: Commensurate with experience

Long Island University (LIU) hosts a leading Dassault Systèmes Center of Excellence in Life Sciences. Through our collaboration with Dassault Systèmes and other partners, we are spearheading the digital transformation of life science, education and clinical practice by leveraging advanced computational methods, AI and in-silico modeling.

The pillars of our joint strategy rely on 1) Computer Aided solutions for drug discovery, design, delivery and repurposing 2) multiscale and multiphysics modeling of the human systems, referred to as Virtual Twin, with direct application in therapy discovery, therapy development and precision medicine (Pharmaceuticals and Medical Device) 3) AI augmented solutions for life sciences. LIU has received approval from the New York State Education Department (NYSED) to establish/launch a Bachelor of Engineering in Digital Engineering degree program, which will prepare students for the workforce of the future through an interdisciplinary and experiential curriculum with an emphasis on engineering, design, computing and Artificial Intelligence. The degree program will equip students with the tools and hands-on learning experience to design and produce innovative and cutting-edge solutions which can address real-world problems and challenges through digital medicine, personalized health, bioengineering, logistics, robotics and the Internet of Things (IoTs). The new program, fully built on DS tools and technologies, serves as a model across the global to train the next generation of engineers. The School of Engineering seeks tenure-track faculty aligned with our ambitious research and educational vision, who can facilitate LIU innovative partnerships, advance the signature educational and research areas of the Center of Excellence (CoE), and contribute to teaching excellence and effectiveness in developing the next generation of engineers.

The School of Engineering is seeking multiple positions in computational biology, computational chemistry, bioinformatics, signal processing, AI, Robotics, Robotics, Cybersecurity, Big Data in Health, Human Virtual Modeling and Precision Medicine, and those with Digital Health industry experience in pharmaceutical and nutraceutical manufacturing, Dassault Systèmes SW Suite, or equivalent familiarity with the value chain for manufacturing next generation diagnostic, theragnostic and treatment using simulation and multi-scale modeling, and VR and AR systems integration. Candidates will be expected to build and tailor capabilities to meet the challenge of integrating the 3DS Platform into course development, teaching and learning, and research.

These positions offer excellent potential for career growth and leadership. The successful candidates must possess strong record of academic and research excellence at the cutting edge of their fields.

Required Qualifications:

Faculty positions span various application domains and expertise areas. Candidates for the School of Engineering core faculty must have an earned Ph.D. before the start date of the position in one or more of the following fields: electrical & mechanical engineering, biomedical engineering, bioinformatics, IoTs, computational biology, computational chemistry, or a related field.

Tenure-track Faculty candidates should have demonstrated experience with manufacturing and digital design, particularly in the pharmaceutical and biotechnology industry. All candidates must have a demonstrated record of excellence in research with the potential to establish an independent research program and a commitment to excellence in teaching and service to the School of Engineering, the Center of Excellence, and LIU at large and its community.

Preferred Qualifications:

Preferred candidates will be those who have experience and/or demonstrated ability to teach a variety of courses in engineering, computing and AI, at the undergraduate and graduate levels.

Application Procedures

A full application must include a cover letter, a C.V., teaching statement, research statement, samples of research publications, teaching evaluations if applicable, and a list of a minimum of three references, including name, email, address, and telephone number. Only electronic documents will be accepted.

Please complete the online application in addition to uploading the required documents. All required documents must be submitted for review consideration. For more information, please contact Dr.

Mohammed Ghriga at mohammed.ghriga@liu.edu. If you need assistance applying for any of these positions, please email liu-employment@liu.edu.

About Us: The Future of Digital Health and Engineering Is Here in New York.

The LIU Story Long Island University (LIU) was founded in 1926. The university is committed to providing a highquality education through teaching excellence and impactful research opportunities.

LIU offers 375 undergraduate, graduate, and doctoral degree programs, educating nearly 17,000 students each year across multiple campuses. The University cultivates academic, professional, artistic, and co-curricular opportunities.

From the shores of Long Island, to the epicenter of business and tech innovation in Brooklyn, to the far corners of the world, LIU offers a unique college experience for every student seeking academic enrichment and professional opportunity. Upon graduation, our students join a community of more than 285,000 alumni to become global leaders in fields that include the arts, health sciences, media, education, pharmacy, business, technology, public service, and professional sports.

LIU is an equal opportunity employer. LIU is committed to extending equal opportunity in employment to all qualified candidates who can contribute to the diversity and excellence of our academic community.

LIU encourages applications from all qualified individuals without regard to race, color, religion, genetic information, sexual orientation, gender and/or gender identity or expression, marital or parental status, national origin, ethnicity, citizenship status, veteran or military status, age, disability or any other basis protected by applicable local, state or federal laws. Hiring is contingent on eligibility to work in the United States.