New

Coadjutant Non-Teaching

Rutgers University

United States, New Jersey, New Brunswick

May 24, 2025

Position Details

Position Information

Recruitment/Posting Title	Coadjutant Non-Teaching
Department	Engn - Mech & Aerospace Engn
Salary	Hourly Rate
Offer Information	The final salary offer will be determined by several factors, including the candidate's qualifications, experience, and expertise, and availability of department or grant funds to support the position. We also take into consideration market benchmarks, if and when appropriate, and internal equity to ensure fair compensation relative to the university's broader compensation structure. We are committed to offering competitive and flexible compensation packages to attract and retain top talent.
Benefits	Rutgers offers a comprehensive benefit program to eligible employees. For details, please go to http://uhr.rutgers.edu/benefits/benefits-overview.
Posting Summary	Department of Mechanical & Aerospace Engineering (Rutgers University, New Brunswick, NJ, USA) is seeking applications from qualified individuals for a Coadjutant non teaching position working on uncertainty quantification for thermospheric density predictions. The position will begin as early as July 1st, 2025, to support a current projects on the atmospheric density prediction. The candidate will work in Dr. Bai's lab leverages the transformative potential of machine learning and artificial intelligence to conquer some of the most interesting challenges in the field. Our mission is to change how we explore space by developing innovative theories, algorithms, and technologies. Position is contingent upon availability of funds and proper Visa paperwork, to be able to work in US.
Position Status	Part Time
Posting Number	25FA0564
Posting Open Date	05/28/2025
Posting Close Date	07/04/2025

Qualifications

Minimum Education and Experience	At least 3 years graduate research experience in Space Science, Data Science, Aerospace Engineering
Certifications/Licenses
Required Knowledge, Skills, and Abilities	Proficiency in Python, Machine learning, and Uncertainty Quantification in engineering applications; Preferred: Background in space weather and astrodynamics; Excellent written and oral communication skills
Equipment Utilized	N/A
Physical Demands and Work Environment	N/A
Overview	This position will work directly with Prof. Bai, 1)Conducting research on uncertainty quantification for thermospheric density predictions: 2) Investigating the impact of density prediction errors on orbit prediction
Statement

Posting Details

Special Instructions to Applicants
Quick Link to Posting	https://jobs.rutgers.edu/postings/251647
Campus	Rutgers University-New Brunswick
Home Location Campus	Busch (RU-New Brunswick)
City	Piscatawy
State	NJ
Location Details

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

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