Summary
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.
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.
Minimum 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.
About LIU Brooklyn
LIU Brooklyn campus enables
students to realize their full potential as ethically grounded, intellectually
vigorous, and socially responsible global citizens. The campus offers more
professional programs in health care than any other campus in the New York
metropolitan area, including the Arnold and Marie Schwartz College of Pharmacy
& Health Science, and The Harriet Rothkopf Heilbrunn School of Nursing. LIU
Brooklyn is home to Kumble Theater for the Performing Arts, a dynamic
performance venue designed to nourish students’ artistic exploration, and
Division I sports teams.
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.