Excel, AI Jobs in Usa

Why Zensar?

We’re a bunch of hardworking, fun-loving, people-oriented technology enthusiasts. We love what we do, and we’re passionate about helping our clients thrive in an increasingly complex digital world. Zensar is an organization focused on building relationships with our clients and with each other—and happiness is at the core of everything we do. In fact, we’re so into happiness that we’ve created a Global Happiness Council, and we send out a Happiness Survey to our employees each year. We’ve learned that employee happiness requires more than a competitive paycheck, and our employee value proposition—grow, own, achieve, learn (GOAL)—lays out the core opportunities we seek to foster for every employee. Teamwork and collaboration are critical to Zensar’s mission and success, and our teams work on a diverse and challenging mix of technologies across a broad industry spectrum. These industries include banking and financial services, high-tech and manufacturing, healthcare, insurance, retail, and consumer services. Our employees enjoy flexible work arrangements and a competitive benefits package, including medical, dental, vision, 401(k), among other benefits. If you are looking for a place to have an immediate impact, to grow and contribute, where we work hard, play hard, and support each other, consider joining team Zensar!

QA / Quality Engineering Delivery Lead

Location: Secaucus, NJ (Hybrid – 3 days onsite)

Employment Type: Full-time / Contract

Experience: 12–15 years

Domain: Retail

Role Overview

We are seeking a QA / Quality Engineering Delivery Lead to own end-to-end quality delivery while driving QE transformation and modernization initiatives, including AI-augmented testing and intelligent automation frameworks. This role demands a tool-agnostic automation mindset, strong leadership capabilities, and the ability to balance BAU delivery with future-ready QE transformation, leveraging GPT-based testing and AI-led quality practices.

Key Responsibilities:

• Own quality outcomes across programs, releases, and product lines
• Lead day-to-day BAU QA delivery, including:
• Test planning & execution
• Defect management
• Release validation and go/no-go readiness
• Drive QE assessments and build continuous improvement & transformation roadmaps
• Define and execute modern test automation strategies across:
• UI, API, Mobile, and End-to-End (E2E) automation
• Lead AI-augmented testing initiatives, including:
• GPT/LLM-based test case generation
• Intelligent test design and risk-based testing
• Self-healing automation and test optimization
• Promote shift-left and shift-right testing by partnering with:
• Product Management
• Engineering
• DevOps and SRE teams
• Embed quality early in the SDLC through CI/CD and cloud-native testing
• Establish and track quality metrics, KPIs, and dashboards
• Provide clear visibility into quality status, risks, and dependencies for senior stakeholders
• Mentor QA/QE teams and foster a continuous improvement and innovation culture.

Required Skills & Experience

Must Have

• 10–14 years of experience in QA / Quality Engineering
• Proven leadership experience managing QA/QE teams in Agile & DevOps environments
• Strong hands-on expertise in test automation frameworks, including:
• Selenium, Playwright, Cypress (any one or more)
• Exposure to Tricentis Tosca (preferred but not mandatory)
• Solid experience in:
• API & integration testing
• Test data management
• Defect lifecycle management
• Demonstrated experience conducting:
• QE maturity assessments
• Automation ROI analysis
• QE transformation planning
• Ability to manage BAU delivery alongside modernization and innovation initiatives
• Strong Retail domain experience (POS, eCommerce, supply chain, merchandising systems preferred)

AI-Augmented & Intelligent QE (Mandatory Focus)

• Hands-on or leadership experience with AI-driven QE practices, including:
• GPT / LLM-based test case & test scenario generation
• AI-assisted exploratory testing
• Intelligent test selection, prioritization, and impact analysis
• Experience building or adopting intelligent automation frameworks with:
• Self-healing capabilities
• Dynamic locators & adaptive scripts
• Familiarity with:
• Generative AI usage in QE pipelines
• Prompt engineering for test generation
• Ability to operationalize AI in QE, not just PoCs

Zensar believes that diversity of backgrounds, thought, experience, and expertise fosters the robust exchange of ideas that enables the highest quality collaboration and work product. Zensar is an equal opportunity employer. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law. Zensar is committed to providing veteran employment opportunities to our service men and women. Zensar is committed to providing equal employment opportunities for people with disabilities or religious observances, including reasonable accommodation when needed. Accommodation made to facilitate the recruiting process are not a guarantee of future or continued accommodation once hired.

All applicants must be legally authorized to work with Zensar. Visa sponsorship may be available for qualified applicants for certain positions.

Zensar values your privacy. We’ll use your data in accordance with our privacy statement located at:

CNC / Mold / AI Manufacturing Engineer (Training Provided)

Location: Louisville, Kentucky, USA

Industry: Advanced Manufacturing / Precision Tooling

【About the Company】

FTC USA is building a next-generation precision manufacturing center in the United States.

Our mission is to combine advanced tooling expertise with AI technologies to create the next generation of intelligent manufacturing systems.

We offer a unique opportunity for engineers to grow from CNC machining to mold design and eventually AI-driven manufacturing engineering.

【International Training Program】

We believe in investing in people. Even if you do not have prior CNC experience, we provide a structured training program that includes:

• On-the-job technical training
• Hands-on machining training
• International training opportunities

Selected engineers will have the opportunity to receive advanced training at our R&D centers in Taiwan and/or Japan, where they will learn from highly experienced tooling and manufacturing engineers.

This program allows engineers to develop world-class precision manufacturing skills.

【Career Development Path】

If you are willing to accept training arrangements in Taiwan and/or Japan, the future career development and salary growth path is as follows:

Level: Level 1

Position: CNC Engineer

Salary Range: $80,000 – $120,000

Level: Level 2

Position: Mold Design Engineer

Salary Range: $120,000 – $160,000

Level: Level 3

Position: AI Mold Engineer

Salary Range: $160,000 – $220,000+

You will receive continuous training and mentorship to progress through these levels.

【Key Responsibilities】

CNC Engineering

• Learn and operate 3-axis and 5-axis CNC machining centers
• Develop CAM programs using software such as Mastercam, NX, or Powermill
• Manufacture high-precision mold components
• Work with EDM and wire-EDM machining processes
• Perform precision measurements and quality control with CMM
• Implement CNC automation and digital manufacturing platform

Mold Design & Manufacturing Integration

• Participate in precision mold design
• Support mold structure design, cooling systems, and gating systems
• Work with machining teams to optimize manufacturability
• Apply Design for Manufacturing (DFM) principles
• Support mold assembly and troubleshooting

AI-Driven Manufacturing Development (Advanced Level)

• Apply AI technologies to improve mold design and manufacturing
• Develop intelligent machining optimization strategies
• Support predictive maintenance systems
• Participate in smart manufacturing and digital twin initiatives

【Qualifications】

We welcome candidates with strong interest in manufacturing engineering.

Required:

• Bachelor’s degree in Mechanical Engineering, Manufacturing Engineering, or related field
• Strong interest in advanced manufacturing technologies
• Strong problem-solving ability
• Willingness to learn CNC machining and mold manufacturing
• Ability to work in a hands-on engineering environment.
• Can join the training program in Taiwan and/or Japan for first few months.

Preferred (but not required)

• Experience with CNC machining or CAM software
• Experience with CAD software
• Experience in mechanical design
• Knowledge of automation or manufacturing systems

No prior CNC machining experience is required. Training will be provided.

【What We Offer】

• Competitive salary and career growth opportunities
• Structured engineering career development
• Hands-on training with advanced manufacturing equipment
• Paid international training opportunities in Taiwan and Japan
• Mentorship from experienced manufacturing engineers
• Opportunity to work in next-generation smart manufacturing

【Why Join Us】

This is a rare opportunity to develop expertise in precision manufacturing, mold engineering, and AI-driven production systems.

You will gain exposure to global manufacturing technologies and international engineering teams, while building a long-term career in advanced manufacturing.

【Apply Now】

If you are passionate about engineering and excited about the future of manufacturing, we encourage you to apply.

Chief of Staff – AI & Automation

Location: New York, NY (Midtown)

Work Model: Primarily in-office (4+ days per week)

Bullpen is partnering with a growing New York City real estate investment sales platform to recruit a Chief of Staff – AI & Automation to help modernize and scale the business through technology, automation, and AI-driven workflows.

This is a newly created role designed to improve operational efficiency, streamline internal systems, and help leadership implement new technologies across a high-performing brokerage team.

The position will work closely with senior leadership to identify operational bottlenecks, implement AI and automation tools, and build scalable processes that allow the business to operate more efficiently as it continues to grow.

This role is ideal for someone who enjoys building systems, implementing technology, and solving complex business problems through automation and data.

The Role

The Chief of Staff – AI & Automation will sit at the intersection of operations, technology, and strategy, helping implement systems and tools that improve how the organization operates day to day.

This individual will help streamline workflows, improve data management, and ensure new systems are successfully implemented and adopted across the team.

Key Responsibilities

• Identify opportunities to automate manual workflows and operational processes

• Implement AI tools and automation solutions across the business

• Optimize CRM systems and internal technology platforms

• Manage system integrations and external technology vendors

• Improve internal data management and reporting processes

• Partner with leadership to drive operational initiatives and technology adoption

• Help implement tools that support marketing, deal tracking, and client communication

• Ensure successful rollout and training of new systems across the organization

Ideal Candidate Profile

The ideal candidate is a builder and operator who enjoys implementing technology solutions that make businesses run more efficiently.

Candidates may come from consulting, technology, proptech, or operational roles where they have led initiatives involving automation, CRM systems, or digital transformation.

Experience working in fast-paced or entrepreneurial environments is highly valued.

Qualifications

• Approximately 7–10 years of professional experience

• Experience implementing automation, AI, or digital transformation initiatives

• Familiarity with CRM systems such as Salesforce or similar platforms

• Experience managing system implementations or technical integrations

• Strong project management and problem-solving skills

• Ability to work closely with leadership and cross-functional teams

Real estate experience is helpful but not required.

A postdoctoral fellowship is available at the Stanford University School of Medicine focused on implementing machine learning on population-scale clinical and biological data to characterize biological aging, resilience, and rejuvenation.

This is a unique opportunity to apply ML in unconventional and paradigm-shifting research with the potential to directly and broadly impact human lives. By joining our research group, you will:

• Have direct access to unparalleled population-scale clinical and biological data sources, along with the computational resources required to analyze these data and develop sophisticated machine learning models.
• Work in a highly collaborative environment with researchers from diverse backgrounds in medicine, biological sciences, and computer science.
• Collaborate with world-leading experts at Stanford University across the spectrum of AI, medicine, and biology.
• Be part of an environment strongly committed to translating research findings into actionable insights and scalable real-world products. We encourage (and financially support) our postdoctoral fellows to pursue extensive training in entrepreneurship and business management through Stanford’s Graduate School of Business. This position is well suited for candidates interested not only in state-of-the-art academic research, but also in exploring industrial and entrepreneurial career trajectories.

As a Stanford postdoctoral scholar, you will receive a highly competitive salary and comprehensive benefits, including best-in-class health and dental insurance. You will also receive priority consideration for Stanford housing and have access to Stanford’s broad range of professional development, learning, and growth resources.

Relevant background:

• MD or PhD, with research experience building and/or applying machine learning models during graduate studies, industry, or postdoctoral work.
• Excellent publication record.
• Interest in medicine and biology.
• Familiarity with modern AI/ML platforms and libraries (e.g., PyTorch and/or TensorFlow), traditional machine learning frameworks (e.g., scikit-learn), and statistical analysis in Python.

Preferred, but not required:

• Familiarity with electronic health record (EHR) data and cohort/outcome definition using EHRs.
• Experience in medicine and/or biology, particularly in aging-related research and omics-based analyses.
• Broad experience across diverse AI/ML concepts, including causal inference.
• Publications in leading AI/ML, biology, or medicine conferences and journals.

Keywords:

Machine Learning, Precision Medicine, Biology, Omics, Proteomics, metabolites, Electronic Health Records, Artificial Intelligence, Data Science, Deep Learning, Bioinformatics

How to Apply:

• To receive full consideration, please apply using the following google form:  can be directed to
• For more information please visit: 

About Wakefern

Wakefern Food Corp. is the largest retailer-owned cooperative in the United States and supports its co-operative members' retail operations, trading under the ShopRite®, Price Rite®, The Fresh Grocer®, Dearborn Markets®, and Gourmet Garage® banners.

Employing an innovative approach to wholesale business services, Wakefern focuses on helping the independent retailer compete in a big business world. Providing the tools entrepreneurs need to stay a step ahead of the competition, Wakefern’s co-operative members benefit from the company’s extensive portfolio of services, including innovative technology, private label development, and best-in-class procurement practices.

The ideal candidate will have a strong background in designing, developing, and implementing complex projects, with focus on automating data processes and driving efficiency within the organization. This role requires a close collaboration with application developers, data engineers, data analysts, data scientists to ensure seamless data integration and automation across various platforms. The Data Integration & AI Engineer is responsible for identifying opportunities to automate repetitive data processes, reduce manual intervention, and improve overall data accessibility.

Essential Functions

• Participate in the development life cycle (requirements definition, project approval, design, development, and implementation) and maintenance of the systems.
• Implement and enforce data quality and governance standards to ensure the accuracy and consistency.
• Provide input for project plans and timelines to align with business objectives.
• Monitor project progress, identify risks, and implement mitigation strategies.
• Work with cross-functional teams and ensure effective communication and collaboration.
• Provide regular updates to the management team.
• Follow the standards and procedures according to Architecture Review Board best practices, revising standards and procedures as requirements change and technological advancements are incorporated into the >tech_ structure.
• Communicates and promotes the code of ethics and business conduct.
• Ensures completion of required company compliance training programs.
• Is trained – either through formal education or through experience – in software / hardware technologies and development methodologies.
• Stays current through personal development and professional and industry organizations.

Responsibilities

• Design, build, and maintain automated data pipelines and ETL processes to ensure scalability, efficiency, and reliability across data operations.
• Develop and implement robust data integration solutions to streamline data flow between diverse systems and databases.
• Continuously optimize data workflows and automation processes to enhance performance, scalability, and maintainability.
• Design and develop end-to-end data solutions utilizing modern technologies, including scripting languages, databases, APIs, and cloud platforms.
• Ensure data solutions and data sources meet quality, security, and compliance standards.
• Monitor and troubleshoot automation workflows, proactively identifying and resolving issues to minimize downtime.
• Provide technical training, documentation, and ongoing support to end users of data automation systems.
• Prepare and maintain comprehensive technical documentation, including solution designs, specifications, and operational procedures.

Qualifications

• A bachelor's degree or higher in computer science, information systems, or a related field.
• Hands-on experience with cloud data platforms (e.g., GCP, Azure, etc.)
• Strong knowledge and skills in data automation technologies, such as Python, SQL, ETL/ELT tools, Kafka, APIs, cloud data pipelines, etc.
• Experience in GCP BigQuery, Dataflow, Pub/Sub, and Cloud storage.
• Experience with workflow orchestration tools such as Cloud Composer or Airflow
• Proficiency in iPaaS (Integration Platform as a Service) platforms, such as Boomi, SAP BTP, etc.
• Develop and manage data integrations for AI agents, connecting them to internal and external APIs, databases, and knowledge sources to expand their capabilities.
• Build and maintain scalable Retrieval-Augmented Generation (RAG) pipelines, including the curation and indexing of knowledge bases in vector databases (e.g., Pinecone, Vertex AI Vector Search).
• Leverage cloud-based AI/ML platforms (e.g., Vertex AI, Azure ML) to build, train, and deploy machine learning models on a scale.
• Establish and enforce data quality and governance standards for AI/ML datasets, ensuring the accuracy, completeness, and integrity of data used for model training and validation.
• Collaborate closely with data scientists and machine learning engineers to understand data requirements and deliver optimized data solutions that support the entire machine learning lifecycle.
• Hands-on experience with IBM DataStage and Alteryx is a plus.
• Strong understanding of database design principles, including normalization, indexing, partitioning, and query optimization.
• Ability to design and maintain efficient, scalable, and well-structured database schemas to support both analytical and transactional workloads,
• Familiarity with BI visualization tools such as MicroStrategy, Power BI, Looker, or similar.
• Familiarity with data modeling tools.
• Familiarity with DevOps practices for data (CI/CD pipelines)
• Proficiency in project management software (e.g., JIRA, Clarizen, etc.)
• Familiarity with DevOps practices for data (CI/CD pipelines)
• Strong knowledge and skills in data management, data quality, and data governance.
• Strong communication, collaboration, and problem-solving skills.
• Ability to work on multiple projects and prioritize tasks effectively.
• Ability to work independently and in a team environment.
• Ability to learn new technologies and tools quickly.
• The ability to handle stressful situations.
• Highly developed business acuity and acumen.
• Strong critical thinking and decision-making skills.

Working Conditions & Physical Demands

This position requires in-person office presence at least 4x a week.

Compensation and Benefits

The salary range for this position is $75,868 - $150,644. Placement in the range depends on several factors, including experience, skills, education, geography, and budget considerations.

Wakefern is proud to offer a comprehensive benefits package designed to support the health, well-being, and professional development of our Associates. Benefits include medical, dental, and vision coverage, life and disability insurance, a 401(k) retirement plan with company match & annual company contribution, paid time off, holidays, and parental leave.

Associates also enjoy access to wellness and family support programs, fitness reimbursement, educational and training opportunities through our corporate university, and a collaborative, team-oriented work environment. Many of these benefits are fully or partially funded by the company, with some subject to eligibility requirements

Position: Principal AI Engineer

Location: San Francisco CA Hybrid

Contract

Job Summary:

• We are seeking a senior level AI/ML engineering contractor to temporarily step into a technical leadership and team lead role supporting personalization models and the company’s AI platform.
• The ideal candidate can balance technical expertise, strategic decision making, and day to day team guidance to ensure continuity during the leave period.

Required Skills & Experience:

• Senior level 12 years of experience building and operating machine learning systems in production.
• Strong understanding of ranking models, recommendation systems, model evaluation, and experiment design.
• Hands on expertise with modern AI/ML engineering tools (e.g., Python, Spark or similar, cloud-based ML pipelines, cloud model serving frameworks, and API design).
• Ability to lead engineering discussions, guide team members, and provide clear direction.
• Strong organizational skills: able to manage complex projects and maintain structure during a temporary leadership period.
• Excellent communication skills, with the ability to translate technical details into clear action for partners and stakeholders.

We're hiring an AI Conversation Designer

Sci-Rec are currently partnering with a fast-growing AI SaaS company transforming behavioral health.

This isn't just about building chatbots. It's about designing AI that navigates some of the most sensitive, high-stakes conversations in healthcare.

You'll be the bridge between human psychology and LLMs,crafting the voice, logic, and flow of AI agents that genuinely help people at their most vulnerable.

What you'll be doing: Designing dialogue flows for complex clinical workflows. Building the behavioral logic that keeps AI empathetic under pressure. Turning interaction data into sharper, more human conversations.

You're the right fit if you: Have 4+ years in conversation design, UX, or HCI with an LLM/agentic AI focus Obsess over the nuance of language Thrive in fast-moving, ambiguous environments Know your way around model constraints, temperature, and prompt logic

Bonus points for a background in linguistics, cognitive science, or psychology.

Early-stage. Meaningful equity. Genuinely important work.

**Federal Project - Applicant must be a United States Citizen**

Baer is looking for Platform Developer for a 12 months Federal Project located in Herndon, VA.

Title: Platform Developer

Location: Hybrid - Herndon, VA (Mon-Thur)

Duration: 12 months

Rate: All-inclusive

Alignment: W2 or C2C

Role Overview

We are looking for a skilled AI Platform Developer with experience in building and supporting AI/ML solutions. The ideal candidate should have strong programming skills, hands-on experience with machine learning frameworks, and experience deploying AI models in cloud environments.

Key Responsibilities

• Develop, test, and deploy machine learning and deep learning models.
• Build and maintain scalable AI platform components and pipelines.
• Perform data acquisition, preprocessing, feature engineering, and analysis.
• Collaborate with data scientists and engineering teams to integrate AI solutions into applications.
• Support model deployment, monitoring, and optimization using MLOps best practices.
• Work with large datasets using big data tools and distributed systems.

Required Qualifications

• 5+ years of experience in building and supporting AI/ML solutions
• Strong programming skills in Python (knowledge of R, Java, or C++ is a plus).
• Good understanding of Machine Learning and Deep Learning, including supervised, unsupervised, and reinforcement learning techniques.
• Hands-on experience with TensorFlow, PyTorch, Keras, and scikit-learn.
• Experience with data processing, SQL and NoSQL databases.
• Familiarity with Apache Spark and large-scale data processing.
• Solid foundation in mathematics and statistics (linear algebra, probability, calculus).

Company Overview:

Baer provides best-in-class engagement experiences for our consultants. Our job requirements are carefully vetted and are typically associated with pivotal programs offering tremendous opportunities to expand your skills leveraging the latest solutions.

Baer is an equal opportunity employer including disability/veteran.

ALL OPEN JOBS

AI Research Scientist | Machine Learning | Deep Learning | Natural Language Processing | LLM | Hybrid | San Jose, CA

Title: AI Research Scientist

Location: San Jose, CA

Responsibilities:

• Design, execute, and analyze machine learning experiments, establishing strong baselines and selecting appropriate evaluation metrics.
• Stay up to date with the latest AI research; identify, adapt, and validate novel techniques for company-specific use cases.
• Define rigorous evaluation protocols, including offline metrics, user studies, and adversarial (red team) testing to ensure statistical soundness.
• Specify data and annotation requirements; develop annotation guidelines and oversee quality control processes.
• Collaborate closely with domain experts, product managers, and engineering teams to refine problem statements and operational constraints.
• Develop reusable research assets such as datasets, modular code components, evaluation suites, and comprehensive documentation.
• Work alongside ML Engineers to optimize training and inference pipelines, ensuring seamless integration into production systems.
• Contribute to academic publications and represent the company in research communities, as needed.

Educational Qualifications:

• Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related field is strongly preferred.
• Candidates with a master’s degree and exceptional research or industry experience will also be considered.

Industry Experience:

• 3–5 years of experience in AI/ML research roles, ideally in applied or product-focused environments.
• Demonstrated success in delivering research-driven solutions that have been deployed in production.
• Experience collaborating in cross-functional teams across research, engineering, and product.
• Publications in top-tier AI/ML conferences (e.g., NeurIPS, ICML, ACL, CVPR) are a plus.

Technical Skills:

• Strong foundational knowledge in machine learning and deep learning algorithms.
• Hands-on experience with PEFT/LoRA, adapters, fine-tuning techniques, and RLHF/RLAIF (e.g., PPO, DPO, GRPO).
• Ability to read, implement, and adapt state-of-the-art research papers to real-world use cases.
• Proficiency in hypothesis-driven experimentation, ablation studies, and statistically sound evaluations.
• Advanced programming skills in Python (preferred), C++, or Java.
• Experience with deep learning frameworks such as PyTorch, Hugging Face, NumPy, etc.
• Strong mathematical foundations in probability, linear algebra, and calculus.
• Domain expertise in one or more areas: natural language processing (NLP), symbolic reasoning, speech processing, etc.
• Ability to translate research insights into roadmaps, technical specifications, and product improvements.

AI Research Scientist | Machine Learning | Deep Learning | Natural Language Processing | LLM | Hybrid | San Jose, CA

The Opportunity

The University of Central Florida (UCF) has established several interdisciplinary faculty research clusters to strengthen its academic offerings and research mission. In support of this effort, we invite candidates for two (2) tenure-earning assistant professor, tenured associate professor, or tenured professor positions with the university research center on Resilient, Intelligent, and Sustainable Energy Systems (RISES). The positions have an anticipated start date of August 8, 2026.

These are interdisciplinary positions that will be expected to strengthen both the RISES Center and a chosen tenure home department and may include a combination of joint appointments. A strong advantage of this position is the ability of the candidate to choose multiple units for their joint appointment in the College of Engineering and Computer Science, the College of Sciences, or both.

All candidates whose research are at the forefronts of energy systems, resilience, and sustainability will be considered. The technical fields of specific research interest for the two positions include but are not limited to:

Position # 1- Sustainable Energy Systems: Non-Combustion (Host Department: Mechanical and Aerospace Engineering):

An ideal candidate will have extensive expertise in pathways for novel processes of electric power generation and storage that do not involve combustion. The selected candidate should be proficient in process design, characterization, and modeling of low carbon electricity generation technologies that ensure access to affordable, reliable, and sustainable power for all. We seek candidates with a strong foundation in fluid mechanics, thermodynamics, heat and mass transfer, and energy systems engineering, and a demonstrated research record in non-combustion-based electric power generation and/or energy storage.

Areas of particular interest include, but are not limited to:

• 
  

• Advanced nuclear energy systems, including small modular reactors (SMRs), microreactors, molten salt reactors, liquid metal reactors and high-temperature gas cooled reactors, especially those supporting grid resilience.

  
  

• Hydrogen production and storage, particularly hydrogen derived from nuclear or natural gas with carbon capture (blue hydrogen).

  
  

• Thermal energy storage and high-efficiency heat exchangers for industrial and grid-scale applications.

  
  

• Electrochemical systems, including next-generation batteries and fuel cells for defense, aerospace, and critical infrastructure.

  
  

• Energy generation and storage systems modeling, optimization, and control, with emphasis on reliability, affordability, and national security.

  
  

• Experimental platforms for high-temperature, high-pressure energy systems.

  
  

• Risk-informed design of energy infrastructure.
  

  
  

Candidates should demonstrate the ability to lead an independent, externally funded research program and contribute to interdisciplinary collaborations. A strong record of peer-reviewed publications, mentorship, and engagement with industry, national laboratories, or large-scale research initiatives is highly desirable. Experience with computational tools (e.g., CFD, FEA, system-level modeling) and/or experimental platforms for energy systems is expected.

Position # 2 - Machine Learning and AI for Energy Systems (Host Department: Computer Science and possibly Electrical and Computer Engineering Department):

An ideal candidate would have extensive experience applying modern machine learning techniques to solving complex problems within the energy systems. The candidate should have a strong foundation in deep learning techniques (including convolutional neural networks, recurrent neural networks and multi-head attention models). An experience with specialized foundation models is a plus.

Areas of interest include but are not limited to:

• 
  

• Energy market and load/generation forecasting, including short- and long-term demand prediction, renewable generation forecasting (solar, wind, hydro) under uncertainty, spatiotemporal modeling for distributed energy systems, energy markets, transfer learning and domain adaptation for data-scarce regions and integration of weather, mobility, and socioeconomic data for predictive modeling.

  
  

• Distributed infrastructure resource management, including data-driven modeling and coordination of interdependent infrastructure systems and their subsystems (such as networks of transportation, gas, electricity grid), multi-agent reinforcement learning for distributed coordination and demand response optimization using AI.

  
  

• Distributed infrastructure system optimization, such as real-time optimization of interdependent infrastructure and energy systems using AI and advanced control methods, hybrid physics-informed and data-driven modeling and control for stability and flexibility.

  
  

• Energy system resiliency research, including detection of faults and cyber-attacks, outage prediction under extreme conditions, resilient cybersecurity solutions, and self-healing algorithms.
  

  
  

Candidates should demonstrate not only extensive experience in deep learning, reinforcement learning, and unsupervised learning but also evidence in interdisciplinary, human-centric, community-based, and data-driven research on energy systems.

Successful candidates will have research impact as reflected in high-quality publications and the ability to build a well-funded and sustainable research program. We are looking for team players who can further enhance our strong campus-wide efforts in energy systems research. The positions will carry ranks commensurate with the candidate's prior experience and record.

UCF is one of the nation's largest universities with a diverse student body of nearly 70,000 students and has grown substantially in size, quality, diversity, and reputation. Today, the university offers more than 240 degree programs. In 2019, UCF was officially recognized as a Hispanic Serving Institution (HSI) by the U.S. Department of Education and a "Green College" by the Princeton Review for our efforts in sustainability and environmental responsibility. UCF's students represent all 50 states and over 120 countries. UCF is in a centralized location that is 30 minutes to Walt Disney World and Universal Orlando and 60 minutes to the beach. UCF has 16 sports teams, including football, soccer/futbol, tennis, volleyball, and 600+ cultural, academic, and social student clubs and organizations all led by faculty mentors. In addition, UCF has several associations for faculty and staff, among them, the Black Faculty and Staff Association (BFSA), the Latino Faculty and Staff Association (LaFaSA), and the PRIDE Faculty and Staff Association. UCF received the 2019 Higher Education Excellence in Diversity (HEED) Award from INSIGHT Into Diversity magazine, which recognizes U.S. colleges and universities that demonstrate an outstanding commitment to diversity and inclusion.

The Carnegie Foundation has classified UCF as an R1 Doctoral University for its high research activity and community engagement. This past fiscal year, UCF brought in nearly $205M. The RISES center is one of nation's very top university research centers as measured by federal funding. For the fifth consecutive year, UCF has been recognized among the nation's most innovative universities according to U.S. News & World Report while Kiplinger's and The Princeton Review have ranked UCF as one of the nation's best values for a college education.

UCF is an economic engine, attracting and supporting industries vital to the region's future while providing students with real-world experiences that help them succeed after graduation. UCF's Orlando location also puts it at the center of the Florida High Tech Corridor. The corridor has an excellent industrial base that includes software, defense, space, simulation and training, and a world-renowned entertainment industry. Adjacent to UCF is a thriving research park that conducts over $2 billion in funded research, hosting more than 100 high-technology companies and UCF's School of Modeling, Simulation, and Training. UCF also has an accredited medical school which was established in 2006 and is a neighbor to the VA, Nemours, and the UCF Lake Nona Medical Center, all of which have a strong interest in sustainable energy systems research and demonstration. Great weather, easy access to the seashore, one of the largest convention centers in the nation, and one of the world's best airports are just a few features that make Orlando an ideal location. We encourage you to learn more about UCF at faculty.

Minimum Qualifications:

• A Ph.D. or foreign degree equivalent from an accredited institution, in an area appropriate to the RISES center at the time of appointment. The selected candidate must also have a record of high impact research related to energy systems, demonstrated by a strong scholarly and/or funding record.

• In order to obtain tenure upon hire, the selected candidate must have a demonstrated record of teaching, research and service commensurate with rank in the tenure department.

Preferred Qualifications:

• 
  

• Past work experiences in a national lab and/or industry are desired.

  
  

• A history of working with teams, especially teams that span multiple disciplines, is a strongly preferred qualification.

  
  

• Prior work experience with energy storage systems is highly preferred.

  
  

Additional Application Materials Required:

UCF requires all applications and supporting documents be submitted electronically through the Human Resources employment opportunities website, jobs/. In addition to the online application, interested candidates should upload the following:

• A curriculum vitae.

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  A letter of interest describing qualifications for the position, such as research agenda and teaching experience/interest. In the letter candidates must include:

  
  
  • 
    

  • their background in research and scholarship in or related to the areas noted in the job description above.

    
    

  • specifically highlight their interdisciplinary approach to research.

    
    

  • specify which position they are applying to and which department they plan to reside.

    
    
  
  

• 
  

• A teaching statement.

  
  

• A research statement.

  
  

NOTE: Please have all documents ready when applying so they can be attached at that time. Once the online submission process is finalized, the system does not allow applicants to submit additional documents later.

The selected candidate will be required to submit official transcripts (and, as applicable, U.S. degree equivalency evaluations) documenting the conferral of their qualifying academic credentials.

Questions regarding this search should be directed toDr. Zhihua Qu at .

Special Instructions to the Applicants:

Candidates needto specify in their cover letters which position they are applying to and which department they plan to reside.

Sponsorship for employment-based visas will only be considered under exceptional circumstances and is not guaranteed. Preference will be given to candidates who are currently authorized to work for any employer in the United States.

Job Close Date:

Open until filled

Note to applicants: Please keep in mind that a job posted as 'Open until filled' may close at any time without notice. As such, we encourage you to submit your application and all required documentation as quickly as possible to ensure consideration for the posted position.

Are you ready to unleash YOUR potential?

As a next-generation public research university and Forbes-ranked top employer in Florida, we are a community of thinkers, doers, creators, innovators, healers, and leaders striving to create broader prosperity and help shape a better future. No matter what your role is, when you join Knight Nation, you'll play an integral role at one of the most impactful universities in the country. You'll be met with opportunities to connect and collaborate with talented faculty, staff, and students across 13 colleges and multiple campuses, engaging in impactful work that makes a positive difference. Your time at UCF will provide you with many meaningful opportunities to grow, you'll work alongside talented colleagues on complex projects that will challenge you and help you gain new skills and you'll have countless rewarding experiences that go well beyond a paycheck.

Working at UCF has its perks!UCF offers:

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• Benefit packages, including Medical, Dental, Vision, Life Insurance, Flexible Spending, and Employee Assistance Program.
  
• Paid time off, including annual (12-month faculty) and sick time off and paid holidays.
  
• Retirement savings options.
  
• Employee discounts, including tickets to many Orlando attractions.
  
• Education assistance.
  
• Flexible work environment.
  
• And more...For more benefits information, view the UCF Employee Benefits Guide click here.
  

Unless explicitly stated on the job posting, it is UCF's expectation that an employee of UCF will reside in Florida as of the date the employment begins.

Additional Requirements related to Research Positions:

Pursuant to Florida State Statute 1010.35, prior to offering employment to certain individuals in research-related positions, UCF is required to conduct additional screening. Applicants subject to additional screening include any citizen of a foreign country who is not a permanent resident of the U.S., or who is a citizen or permanent resident but is affiliated with or has had at least 1 year of education, employment, or training in China, Cuba, Iran, Russia, North Korea, Syria, or Venezuela.

The additional screening requirements only apply to research-related positions, including, but not limited to faculty, graduate positions, individuals compensated by research grants or contract funds, post-doctoral positions, undergraduate positions, visiting assistant professors, and visiting research associates.

Department

Work Schedule

Type of Appointment

Expected Salary

As a Florida public university, the University of Central Florida makes all application materials and selection procedures available to the public upon request.

UCF is proud to be a smoke-free campus and an E-Verify employer.

If an accommodation due to a disability is needed to apply for this position, please call or email .

For general application or posting questions, please email .