Demo

Assistant Professor

Long Island University
Brooklyn, NY Full Time
POSTED ON 11/27/2025
AVAILABLE BEFORE 12/26/2025
Multiple Tenure Track Faculty Positions

  • Schools and Colleges: College of Science, Engineering and Artificial Intelligence
  • Campus: Brooklyn and Post Campuses, New York

The College of Science, Engineering, and AI (CSEA) at Long Island University is where the

frontiers of knowledge converge—uniting disciplines to solve the world’s most complex

challenges, generate bold new scientific theories, and create models that transform discovery

into societal impact. At CSEA, ideas don’t just advance science—they redefine what is possible.

CSEA is positioning itself as a national leader in convergence science, STEM education, and

interdisciplinary research. It will consolidate LIU’s strengths in computing, engineering, life

sciences, mathematics, and health sciences, while advancing the One LIU Vision and the

University’s strategic research priorities. By dissolving traditional disciplinary boundaries, the

College empowers students and faculty to approach complex problems with bold, integrated

solutions. Here, discoveries evolve into theories, models, and innovations that scale knowledge

and impact communities worldwide.

Education and Experience

  • Ph.D. in Computational Biology, Bioinformatics, Biotechnology, Biomedical Engineering,

Pharmaceutical Sciences, or related fields

  • Biomedical undergraduate background
  • Understanding of fluid dynamics, pathology, biochemistry, anatomy (preferred, though not

requisite, in Gastrointestinal Hepatobioliary anatomy, brain/heart/liver anatomies)

  • Finite Element (FE) and Computational Fluid Dynamics (CFD) simulations for engineering

and biomedical applications.

  • Multiscale modelling of human systems (Virtual Twins), with direct applications in precision

medicine and digital health.

  • Material modelling using cutting-edge simulation frameworks.
  • In-silico simulation of organ-level systems, including translational research in digital twins.
  • Demonstrated expertise in computational drug discovery including molecular modeling,

library preparation model, toxicity prediction, QSAR, pharmacophore analysis, and

molecular dynamics simulations using platforms such as Dassault Systèmes

3DEXPERIENCE And Discovery Studio BIOVIA. Expectations

  • Available to work with hospital and clinician team for minimum 10 hours per week (20 h/

week is ideal).

  • Able to assist the clinician team with, but not limited to, addressing inquiries related to data

management and engineering development software used for building the virtual twin

models. The initial project will be focused on the Liver and Gastrointestinal physiology.

  • Oversight of the de-identified database: help ensure the proper formats/labels are used,

with clinician input.

  • Collaborate with multidisciplinary teams at national and international hospitals

(Investigators, Research staff, IT teams, LHS).

  • Understanding of computer databases, spreadsheets, and word-processing software.
  • Demonstrated understanding of digital clinical data format and processing (dicom, stl, jpg,

png, tif, csv, xlxs.).

  • Establishing a competitive research program in his/her area(s) of expertise.
  • Develop and/or continue multidisciplinary collaboration.
  • Satisfy teaching and service requirements consistent with the department policies.

The Successful Candidate Will

  • Build and lead an independent research program in computational engineering and

digital health, with strong potential for competitive funding.

  • Advance LIU’s leadership in AI-driven multiscale simulation and Virtual Twin

technologies for pharmaceuticals, bioengineering, and precision medicine.

  • Design and validate multiscale frameworks for translational biomedical research and

drug toxicity and efficacy - from atomistic to organ-level digital twins.

  • Play a central role in curriculum development and teaching excellence for the new

Bachelor of Engineering in Digital Engineering, incorporating advanced simulation

methodologies into core courses.

  • Mentor and inspire students, preparing the next generation of engineers and

computational scientists to address real-world biomedical and technological challenges.

  • Collaborate across disciplines—including engineering, life sciences, and computational

biology—to develop interdisciplinary research projects and experiential learning

opportunities.

Context

LIU and Fortune 50 company Dassault Systèmes have established the world’s first

3DEXPERIENCE Education and Research Center of Excellence in Life Sciences. The center

focuses on research with significant societal impact to advance pharmaceutical sciences,

precision medicine, and healthcare in the digital age. The multidisciplinary team at LIU and BCM

boasts a strong track record of collaboration and expertise across various fields, including

engineering, pharmacology, data management, clinical trial oversight, artificial intelligence, big

data, and clinical research involving diverse populations and settings.

The team has partnered extensively with Dassault Systèmes Corporate to establish a Center of

Excellence for Digital Health & Engineering, which serves as a global hub for the development

and advancement of digital health platforms. In addition to supporting the validation of the Living

Liver Model, the Center has hosted global conferences and symposia aimed at promoting digital

health technologies across the public, private, and academic sectors.

Furthermore, LIU and various hospitals including Baylor College of Medicine (BCM) have

collaborated to enhance education and research capacity in Latin America and Africa. This

collaboration, which began during the COVID-19 pandemic with a focus on health security, is now

expanding to address chronic disease management and cancer. BCM, leveraging its 58 global

academic and research networks and its location in the Texas Medical Center—the largest in the

world—offers unparalleled access to diverse global populations and datasets, creating a unique

ecosystem.

About LIU

Founded in 1926, Long Island University (LIU) is a prestigious national, private, and non-profit

doctoral institution. The university is committed to providing exceptional education through

teaching excellence and offering impactful research opportunities. LIU offers a diverse range of

undergraduate, graduate, doctoral, and certificate programs, catering to a student body of 16,000.

The university’s academic offerings encompass various fields, including pharmaceuticals, health

professions, nursing, veterinary medicine, and engineering. LIU operates two main campuses in

the New York metropolitan area: LIU Brooklyn and LIU Post. Additionally, the university provides

nonresidential programs at regional campuses in Riverhead and Westchester. Beyond its

academic offerings, LIU significantly contributes to the New York metropolitan area economy.

With an annual contribution of $851 million and the generation of 4,300 jobs, the university fosters

economic growth and development in the region. The University has a student-faculty ratio of 13:1

and 83% of full-time faculty hold doctorate or terminal degrees in their research and teaching

disciplines.

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.

Contact

Mohammed Cherkaoui, PhD

VP of Research

Endowed Chair Professor

Mohammed.Cherkaoui@liu.edu

Salary : $851

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