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Temporary Machine Learning Robotics Jobs in New Jersey

Rutgers University

Post Doc Associate

New Brunswick, NJ · On-site

$67K/yr

Posting Summary In this position, the post doctorial associate will use robotics driven by machine learning / artificial intelligence to explore the self-assembly of polymers and their interactions ...

WonderBotz

Junior Software Engineer

Princeton, NJ · On-site

... Machine Learning concepts * Excellent communication and collaboration skills. * Ability to learn quickly and adapt in a fast-paced consulting environment. * 1-2 years of experience in the RPA ...

WonderBotz

Junior Software Engineer

Princeton, NJ · On-site

... Machine Learning concepts * Excellent communication and collaboration skills. * Ability to learn quickly and adapt in a fast-paced consulting environment. * 1-2 years of experience in the RPA ...

Pwc

AI & GenAI Data Scientist - Manager

Florham Park, NJ · On-site

$99K - $232K/yr

... Robotics - At least one of the following: Certifications aligned to data engineering, machine learning, and cloud platforms, including AWS, Google Cloud, Microsoft Azure, Databricks, Snowflake, or ...

YD Talent Solutions

Client Partner

Passaic, NJ · On-site

As world leaders in digital technologies including IoT, Artificial Intelligence, Machine Learning, Robotic Process Automation, Chatbots, Block Chain and Cyber Security, their people and systems are ...

JLL

Mechatronics and Robotics Apprentice

Edison, NJ · On-site

... learning program. Trains in andadheresto all health and safety policies and procedures. Work ... Working in cramped positions under/behind machinery * Working at heights * Pushing/pulling wheeled ...

JLL

Mechatronics and Robotics Apprentice

Florence, NJ · On-site

... learning program. Trains in andadheresto all health and safety policies and procedures. Work ... Working in cramped positions under/behind machinery * Working at heights * Pushing/pulling wheeled ...

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Post Doc Associate

New Brunswick, NJ • On-site

Rutgers University
Education Programs Administration • 1 - 10 employees
Learn more about Rutgers Universityexternal

$67K/yr

Full-time

Medical, Dental, Life, Retirement, PTO

Re-posted 23 days ago

Rutgers University rating

7.7

Company rating: 7.7 out of 10

Based on 68 frontline employees who took The Breakroom Quiz

Job description

Position Information
Recruitment/Posting Title Post Doc Associate Department Engn - Biomedical Engineering Salary Details $67,275 Offer Information
The final salary offer may be determined by several factors, including, but not limited to, 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 benefits package to eligible employees, based on position, which includes:
  • Medical, prescription drug, and dental coverage
  • Paid vacation, holidays, and various leave programs
  • Competitive retirement benefits, including defined contribution plans and voluntary tax-deferred savings options
  • Employee and dependent educational benefits
  • Life insurance coverage
  • Employee discounts programs
 
For detailed information on benefits and eligibility, please visit: http://uhr.rutgers.edu/benefits/benefits-overview.
Posting Summary
In this position, the post doctorial associate will use robotics driven by machine learning / artificial intelligence to explore the self-assembly of polymers and their interactions with proteins. The Gormley Lab has been developing these data driven tools to explore highly complex problems in macromolecular chemistry. It is our strong belief that machine learning, when complemented with an automated workflow, provides an ideal platform for designing advanced nanomaterials that are perhaps too complex to rationally design. This project is highly cross-disciplinary and requires expertise in data science, machine learning, and programming in Python. Additional experience in polymer synthesis/characterization, macromolecular characterization, enzymes, and basic assays are ideal. Willing to consider candidates who are computational only, as long as they see themselves applying machine learning tools to physical problems in macromolecular chemistry. Due to the multidisciplinary nature of the project, the candidate will be expected to collaborate heavily with others in the Gormley Lab as well as other labs at Rutgers and Princeton University. We are hoping to hire two post doctorial associates for a set of projects. The listed projects are fully supported by NIH and NSF grants.
Position Status Full Time Posting Number 25FA0661 Posting Open Date Posting Close Date
Qualifications
Minimum Education and Experience
PhD in biomedical engineering, chemical engineering, chemistry, computer science, or related fields. Willing to consider candidates who are computational only, as long as they see themselves applying machine learning tools to physical problems in macromolecular chemistry.
Certifications/Licenses Required Knowledge, Skills, and Abilities
PhD level is required because creative model design and training is inherently part of the development process.
Familiarity with materials (synthesis, functionalization, and characterization), macromolecules, and proteins is preferred. Evidence of a strong publication track record and working well in teams.
Preferred Qualifications
Familiarity with nanomaterials (synthesis, functionalization, and characterization) and enzymes is preferred. Evidence of a strong publication track record and working well in teams.
Equipment Utilized
If experimental, UV-Vis plate reader, dynamic light scattering (DLS), chromatography, and other basic equipment. Familiarity with SAXS/SANS is also ideal.
Physical Demands and Work Environment
Expect to spend several hours per day in the lab, which involves standing for long periods.
Overview Statement
Posting Details
Special Instructions to Applicants Quick Link to Posting https://rutgers-sb.peopleadmin.com/postings/254967 Campus Rutgers University-New Brunswick Home Location Campus Busch (RU-New Brunswick) City Piscataway 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
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

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