Standardized test developer jobs in New Brunswick, New JerseyCreate job alerts

Vanguard Resolve LLC is a certified MBE/SBE firm specializing in project controls, risk intelligence, claim resolution, and construction professionals for major infrastructure projects. We’re expanding our team to provide expert Construction Engineering & Inspection (CEI) services on NJDOT roadway, bridge, highway, and infrastructure contracts, as well as New Jersey Turnpike Authority (NJTA)initiatives. Join for steady, high-profile state-funded work with strong professional growth in a supportive environment. Key Responsibilities: • Perform on-site inspection and oversight of roadway, bridge, paving, drainage, structures, utilities, and related construction activities, • Ensure compliance with NJDOT/NJTA specifications, plans, Rainbow Book procedures, MUTCD, work zone safety, and contract documents, • Conduct materials testing (e.g., concrete per ACI standards), daily reporting, quantity take-offs, traffic control monitoring (TCC), and quality assurance, • Collaborate with contractors, NJDOT/NJTA engineers, and project teams, • 2–10+ years of relevant highway/roadway/bridge construction inspection experience (NJDOT/NJTA preferred), • Certifications (strongly preferred/required, especially for senior and RE roles):, • ACI (Concrete Field Testing Technician Grade I or higher), • TCC (Traffic Control Coordinator – Rutgers CAIT or equivalent), • NJSAT/SAT (New Jersey Site Acceptance Test certification), • NICET Level II–IV in Highway Construction (highly desirable), • OSHA 10/30-Hour Construction Safety, • Valid driver’s license and reliable transportation for field assignments, • Strong knowledge of NJDOT standards, work zone safety protocols, and construction documentation, • Excellent attention to detail, communication, and report-writing skills, • Direct prior experience on NJDOT or NJTA projects, • Additional certifications: NECEPT, NACE, HAZMAT, or related, • Opportunity to work on prestigious transportation infrastructure projects with long-term stability, • Competitive compensation and overtime opportunities based on experience and role, • Supportive team focused on safety, professional development, and career advancement

Overview: Rutgers, The State University of New Jersey, is seeking a Postdoctoral Associate for the Division of Acute Care Surgery at the Robert Wood Johnson Medical School. Project AiCCESS, under the direction of Dr. Mayur Narayan (Principal Investigator) is building a first-of-its-kind Software as a Medical Device (SaMD) that predicts, detects, and manages SSIs by fusing RGB + thermal wound images, intraoperative video, OR traffic signals, EHR data, and patient/surgeon surveys with explainability and equity at its core. We seek a Computer Science Postdoctoral Associate (Postdoc) to lead vision–text transformer modeling and interpretable, clinically aligned AI for this multimodal platform, working alongside surgeons, infectious disease experts, and ML faculty. In addition to Rutgers-based mentorship, the Postdoc will collaborate closely with lead computer scientists across our partner institutions—including Stanford, the University of Florida, and Weill Cornell Medicine—along with other academic and industry collaborators through co-mentorship, cross-institution model reviews, and shared code/MLOps standards. The Postdoc is expected to maintain a high level of communication with the PI and primary mentorship team as described in the BMIHAI PAIR grant. Candidates must hold a PhD in Computer Science, Electrical/Computer Engineering, or a related field by the start date, with a strong publication record in computer vision, multimodal learning, or vision–language models. We require hands-on expertise with transformer architectures (e.g., ViT/TimeSformer, CLIP/BLIP or similar) in PyTorch, including scalable training on GPUs and reproducible experimentation. Demonstrated experience building explainable models (e.g., concept bottlenecks, prototype/contrastive methods, attribution) and evaluating calibration and uncertainty is essential. Strong software engineering skills—Python, Git, unit testing, experiment tracking—and fluency with containerization (Docker) and basic cloud workflows are expected, alongside excellent communication and cross-disciplinary collaboration with clinical teams. The Postdoc will participate in lab meetings, research in progress seminars, and presentations at conferences. They will prepare manuscripts based on their research, aid in developing the PI’s grant applications, and will be expected to apply for personal grant funding. Multiple resources for career development to aid with these requirements will be provided by the PI and the Office of Postdoctoral Affairs. Among the key duties of this position are the following: • Design and train vision–text transformer architectures for multimodal fusion (RGB + thermal, intraoperative video, OR signals, EHR, surveys); develop temporal and cross-attention components for longitudinal risk trajectories., • Build robust fairness and skin-tone–aware pipelines (Fitzpatrick spectrum robustness, augmentation, bias audits)., • Partner with annotation teams using Encord (video) and our SegmentCare image labels; shape active-learning loops and QC., • Productionize models with PyTorch, Docker/Kubernetes, and AWS/SageMaker, • Ensure all members of the lab are in compliance with the necessary trainings (both at the lab and institutional level)., • Keep up to date on the relevant literature in both peer-reviewed and preprint form.