Position Details
Position Information
| Recruitment/Posting Title |
Post Doctoral Asscoiate |
| Department |
Engn Research Center (ERC) |
| Salary |
Open |
| Benefits |
Rutgers offers a comprehensive benefit program to eligible employees. For details, please go to
http://uhr.rutgers.edu/benefits/benefits-overview. |
| Posting Summary |
Our research group C-
SOPS, Department of Chemical and Biochemical Engineering seeks a highly motivated Postdoctoral Associate with expertise in process engineering tools, including process modeling, process control, machine learning, and artificial intelligence, to support ongoing proposal efforts in advanced pharmaceutical manufacturing. The successful candidate will develop innovative methodologies for data-driven analysis and process optimization, incorporating advanced modeling techniques and real-time analytics to enhance quality control and improve the efficiency of drug production. This position involves participating in interdisciplinary research projects, contributing to the writing of grant proposals, and collaborating closely with various industry and academic partners to bridge the gap between cutting-edge computational models and practical manufacturing workflows.
The ideal candidate has a strong background in process modeling, control, optimization, applied machine learning, and AI. Additionally, knowledge of pharmaceutical manufacturing, regulatory frameworks related to pharmaceutical processes, and an ability to design and execute experiments that comply with
FDA standards is preferred. Familiarity with digital twins, large-scale data handling, and predictive modeling will be advantageous. The individual should demonstrate excellence in scholarly writing and communications, as they will be expected to prepare high-level manuscripts and presentations, engage in collaborative meetings that address regulatory challenges, and guide junior researchers in data acquisition and analysis. Prior experience with quality-by-design principles, advanced sensor technologies, or continuous manufacturing techniques will be welcomed. An eagerness to identify key issues in pharmaceutical research and develop practical solutions will be more important.
The position will be based in a supportive environment that encourages independent thinking, cross-disciplinary collaboration, and professional development. The candidate will gain hands-on experience with state-of-the-art laboratory instruments, manufacturing equipment, and computational resources, as well as opportunities to collaborate with materials science, process engineering, and regulatory affairs experts. The successful applicant will have access to a vibrant research community that fosters new ideas aimed at transforming pharmaceutical development and manufacturing. Candidates should have a doctoral degree in a relevant field, such as chemical or mechanical engineering, computer science, biomedical engineering, or a closely related discipline. Strong programming and statistical analysis skills are essential, and evidence of scholarly productivity is expected.
|
| Position Status |
Full Time |
| Posting Number |
25FA0261 |
| Posting Open Date |
03/17/2025 |
| Posting Close Date |
06/30/2025 |
Qualifications
| Minimum Education and Experience |
Requires a Ph.D. in Chemical Engineering, Chemical and Biochemical Engineering, Mechanical Engineering, Pharmaceutical Engineering, or other related disciplines. The candidate should have a strong background in process modeling, control, optimization, applied machine learning, and AI. |
| Certifications/Licenses |
|
| Required Knowledge, Skills, and Abilities |
This project will also involve close collaborations with other researchers at Rutgers University. The position requires independent research, reporting to advisors, meeting with collaborators, supervising undergraduate and graduate students, and public presentations. The Postdoctoral Associate will also participate in the preparation of grants, fellowships, and manuscripts. The candidate should have strong communication skills, work ethic, and competency for working on highly interdisciplinary and time-sensitive projects. This is a 1-year appointment that can be renewed based on applicant performance and availability of grant funds. We are an equal-opportunity employer and encourage individuals from underrepresented groups to apply. |
| Equipment Utilized |
Laboratory environment. Universal precautions are mandatory. |
| Physical Demands and Work Environment |
Ability to use computing resources. |
| Overview |
|
| Statement |
Rutgers, The State University of New Jersey, is an Equal Opportunity/Affirmative Action Employer. Qualified applicants will be considered for employment without regard to race, creed, color, religion, sex, sexual orientation, gender identity or expression, national origin, disability status, genetic information, protected veteran status, military status or any other category protected by law. As an institution, we value diversity of background and opinion, and prohibit discrimination or harassment on the basis of any legally protected class in the areas of hiring, recruitment, promotion, transfer, demotion, training, compensation, pay, fringe benefits, layoff, termination or any other terms and conditions of employment |
Posting Details
| Special Instructions to Applicants |
Candidates should upload cover letter, detailed curriculum vitae including publication list, one representative publication pdf, and contact information for 3 referees online. |
| Quick Link to Posting |
https://jobs.rutgers.edu/postings/247154 |
| Campus |
Rutgers University-New Brunswick |
| Home Location Campus |
Off Campus |
| City |
Cranbury |
| State |
NJ |
| Location Details |
270 Prospect Plains Rd, Cranbury, NJ 08512 |
Pre-employment Screenings
All offers of employment are contingent upon successful completion of all pre-employment screenings. Immunization Requirements
Under Policy 100.3.1 Immunization Policy for Covered Individuals, if employment will commence during Flu Season, Rutgers University may require certain prospective employees to provide proof that they are vaccinated against Seasonal Influenza for the current Flu Season, unless the University has granted the individual a medical or religious exemption. Additional infection control and safety policies may apply. Prospective employees should speak with their hiring manager to determine which policies apply to the role or position for which they are applying. Failure to provide proof of vaccination for any required vaccines or obtain a medical or religious exemption from the University will result in rescission of a candidate's offer of employment or disciplinary action up to and including termination. Affirmative Action/Equal Employment Opportunity Statement
It is university policy to provide equal employment opportunity to all its employees and applicants for employment regardless of their race, creed, color, national origin, age, ancestry, nationality, marital or domestic partnership or civil union status, sex, pregnancy, gender identity or expression, disability status, liability for military service, protected veteran status, affectional or sexual orientation, atypical cellular or blood trait, genetic information (including the refusal to submit to genetic testing), or any other category protected by law. As an institution, we value diversity of background and opinion, and prohibit discrimination or harassment on the basis of any legally protected class in the areas of hiring, recruitment, promotion, transfer, demotion, training, compensation, pay, fringe benefits, layoff, termination or any other terms and conditions of employment. For additional information please see the Non-Discrimination Statement at the following web address: http://uhr.rutgers.edu/non-discrimination-statement |
Rutgers University
Apr 12, 2025