Position: Full-Time Regular        2 Years

Location: Rutgers University, Department of Chemical and Biochemical Engineering

Required Degrees: B.S. Degree- Ph.D    any additional Experience a plus

Minimum Requirements: Ph.D.  Experience in the areas of industrial vibrational spectroscopy or analytical spectroscopy applied to process monitoring and control.  A good working knowledge of chemometric modeling and familiarity with experimental design. Proven ability to communicate and collaborate within project teams are required.

Details: An Post-Doctorial position at Rutgers University has become available in the Department of Chemical and Biochemical Engineering.  The person filling the position will be working with other graduate students using on-line spectroscopic tools such as Near-IR, Raman, Quantum Cascade laser spectroscopy, imaging, and other spectroscopic tools.  The person will work as a member of a team, reporting to a professor at Rutgers and staff at Optimal Solutions.  The project goal is to develop data to compare spectroscopic tools and implement chemometric modeling and machine learning techniques to enhance the data measurements.  The ultimate is to develop new on-line process monitoring systems that will extend the level of quantification at least an order of magnitude below current state of the art for current process analytical technology equipment.  The on-line measurements would be applied to various unit operations of pharmaceutical drug product manufacturing in an continuous manufacturing environment.  Areas of focus will include blending, granulation, tableting and coating and potentially other opportunities to improve process monitoring in drug product manufacturing in a continuous feed frame process.

The successful candidate will have:

A scientific background in analytical sciences or engineering, with vibrational spectroscopy and some process analysis experience. The application of chemometrics and machine learning techniques to the spectroscopic process data is essential to the success of the project. A proven track record in planning and carrying out experimental studies is expected (use of DOE, and statistical tools a plus).

Other attributes of the successful candidate:

• Highly effective interpersonal, organizational and cross-cultural communication skills as well as an ability to work within a multi-disciplinary scientific team is required.
• Demonstrated experience in documenting experimental work and writing of reports and publications is essential to a successful candidate
• Highly motivated self-starter able to work alone and direct others

This post-doctoral position will enhance the candidate’s experience by:

• Enabling them to learn and gain experience with state of the art, on-line spectroscopic equipment
• Learning and implementing Chemometric and Machine learning techniques
• Gaining experience in the application of these tool to continuous manufacturing processes that can be used in the pharmaceutical, consumer product and other industries.

In the please submit your resume to rydzak@osiopt.com by the 20^th of July.  We would like to fill the position by Aug 1, 2019.