Explain Collaborative Filtering In Machine Learning Jobs in Usa

Since 1892, OPW customers have been able to count on us to revolutionize fluid-handling operations around the world. As a global leader in fluid-handling solutions, the mission of OPW is to be a developer of a comprehensive array of innovative fluid-handling solutions that our customers can consistently and reliably count on. These include loading and unloading systems for high-value hazardous and non-hazardous bulk products; railcar and transport tank-truck valves, gauging devices and tank-monitoring systems; automated storage-terminal controls and systems; and regulators, fittings, valves, vaporizers, vacuum-jacketed piping and gas-handling systems for the safe handling and distribution of cryogenics and industrial gases. OPW also creates and manufactures touch-free and soft-touch vehicle wash systems, entry systems and wash chemicals. OPW has more than 2,000 employees with manufacturing operations in North America, Europe and China, and sales offices around the world. OPW is part of the Clean Energy & Fueling segment of Dover (NYSE: DOV).

OPW Clean Energy Solutions (CES): As the adoption of alternative fuels surges, OPW is committed to shaping the future of the clean energy industry, and strategically expanding into innovative realms. This vision has culminated in the establishment of the OPW Clean Energy Solutions Business Unit. At its core lies the industry-leading enterprises, Acme Cryogenics, RegO Products, RegO Products subsidiary, Superior Products, Demaco, and SPS Cryogenics all renowned for pioneering solutions in clean energy and the safe handling, transport, and storage of cryogenic liquids and gases. Join us in our journey towards a safer, cleaner tomorrow.

SCOPE: Our machine operators are tasked with running mill and lathe machines to produce high-quality valve and regulator parts. These individuals read blueprints, start and operate manual and CNC machines, perform quality checks with various gaging equipment, and perform minor preventative machine maintenance. Individuals have knowledge or experience in machine operations, a keen eye for quality control and safety, the ability to solve problems and perform basic mathematics, and the desire to develop and expand their skills in a production-driven environment.

KEY RESPONSIBILITIES:

• Load bars into bar feeder contingent upon part type
• Ensure coolant lines are properly set and flowing
• Demonstrate safe manual deburring techniques
• Ability to understand tool layouts
• Demonstrate manufacturing problem solving and escalation
• Ability to work safely and follow all safety procedures

EDUCATION/QUALIFICATIONS:

• Ability to learn new machines and production procedures
• Must be a team player and willing to adapt to an ever-changing work environment and engage in continuous personal development
• Ability to lift 40 pounds and perform repeated physical tasks
• Ability to perform work in a safe manner
• Must have high attention-to-detail and strong vision and hearing

We consider several job-related, non-discriminatory factors when determining the pay rate for a position, including, but not limited to, the position's responsibilities, a candidate's work experience, a candidate's education/training, the position's location, and the key skills needed for the position. Pay is one of the Total Rewards that we provide to compensate and recognize employees for their work.

Benefits: Our total rewards package for eligible team members also includes: a 401(k) savings plan with employer contributions; medical, dental and vision insurance; wellness programs; health savings account, health care and dependent care flexible spending accounts; company paid short-term disability and long-term disability; company paid employee basic life and AD&D insurance; supplemental employee and dependent life insurance; optional accident, hospital indemnity and critical illness insurance; adoption, surrogacy, and fertility benefits and assistance; commuter benefits; parental, military, jury duty, and bereavement leaves of absence; paid time off, business travel services; employee discounts; and an employee assistance program that includes company paid counseling sessions and legal services. Eligibility for benefits is governed by applicable plan documents and policies.

All qualified applicants will receive consideration for employment without discrimination on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, age, genetic information, or any other factors prohibited by law.

Attention Applicants: If you are an individual with a disability and require a reasonable accommodation to complete any part of the application process, please let us know. Likewise, if you are limited in the ability to access or use this online application process and need an alternative method for applying, we will determine an alternate way for you to apply. Please contact for assistance with an accommodation. Kindly specify Job Requisition Number / Job Title and Location in response.

Fraudulent Recruiting Disclaimer: Dover Corporation and our affiliated operating companies want to alert applicants to internet job posting fraud, where parties posing as Dover employees, recruiters, or other agents, try to engage with online candidates in an attempt to steal personal and/or financial information. We do not endorse or engage in any recruitment practices that involve payment or personal information outside of our official application and hiring process. Please verify the authenticity of an invitation to apply for a job, or for a job offer by contacting us directly through our Dover and affiliated operating company websites at . To learn how you can protect yourself, review our Recruitment Fraud Notice on our careers site.

Precision Machining Specialist

Location: On-site – Atlanta, GA & Braselton, GA

Schedule: Monday through Friday, 8:00 AM – 4:30 PM

Compensation: $30–$40 per hour (DOE) + Overtime eligibility

A rapidly growing industrial equipment manufacturer with operations in North Georgia is expanding its internal machining capabilities and hiring a skilled Precision Machining Specialist to join their high-performing, hands-on engineering and production team. This role supports custom machinery builds and prototype development for customers in aerospace, energy, automotive, and advanced manufacturing markets.

Key Responsibilities:

• Operate and configure CNC and conventional machining tools to produce high-precision parts for specialized machinery assemblies.
• Program, edit, and optimize CNC toolpaths using CAM software (e.g., Mastercam).
• Interpret engineering drawings, applying GD&T standards to ensure tight-tolerance specifications are met.
• Collaborate closely with engineers to fabricate components for new designs, R&D projects, and machine prototypes.
• Select appropriate tooling, complete machine changeovers, and fine-tune machining parameters to support efficient production and maintain quality standards.
• Help organize and optimize internal machining workflows as the shop scales.
• Conduct inspections to ensure machined parts meet all dimensional and quality standards.
• Conduct routine care and upkeep of machinery and tooling to promote a safe and productive workshop environment.
• Contribute to production schedules by aligning machining work with engineering and build timelines.
• Recognize opportunities to enhance machining methods, tooling strategies, and overall production efficiency.

Equipment You'll Use:

• Haas VF-4 Vertical Machining Center
• Mazak Quick Turn 8 CNC Lathe
• Seiki-XL 24” x 120” Manual Lathe
• Hydro-Mech Horizontal Band Saw

Required Qualifications:

• Hands-on experience with both CNC machining and manual machining equipment.
• Proven experience programming CNC equipment using CAM platforms such as Mastercam.
• Proficiency with GD&T and interpreting technical engineering drawings.
• Background in machining high-precision components for industrial or custom equipment applications.
• Mechanical aptitude, attention to detail, and self-directed problem-solving ability.

Preferred:

• Experience working in custom machine building, prototype development, or engineer-to-order environments.
• Exposure to SolidWorks or similar CAD platforms.
• Familiarity with job shop or high-mix, low-volume manufacturing workflows.
• Prior involvement in setting up or scaling a machining operation.

Why Apply?

• Join a capital equipment manufacturer in high-growth mode with increasing production complexity and machine volume.
• Collaborate daily with a team of passionate engineers and builders on unique machinery builds.
• Work in a casual, blue-collar environment that values initiative and craftsmanship.
• Shape the future of the company’s machining operations with your hands-on input.
• Competitive pay, consistent day-shift schedule, and opportunities for overtime.

If you're looking to step into a role where your ideas, mechanical skill, and machining expertise directly impact innovative equipment builds, we want to connect with you. Apply today to learn more about this opportunity.

About Blue Signal:

Blue Signal is an award-winning, executive search firm specializing in various specialties. Our recruiters have a proven track record of placing top-tier talent across industry verticals, with deep expertise in numerous professional services. Learn more at /46Gs4yS

Machine Shop Supervisor – CNC Operations, Programming & Advanced Manufacturing

Technical Source is seeking a Machine Shop Supervisor with deep expertise in CNC machining, programming, and leadership within a high‑precision manufacturing environment. Our client is an industry-leading designer and builder of custom automation systems supporting industrial, medical, and semiconductor applications. Their U.S. machining and automation operations support the production of specialized components used in complex modules, equipment platforms, and fully integrated production systems.

This position plays a critical role in shaping the machine shop of the future, including leading day‑to‑day machining activities, guiding CNC operators, refining programming strategies, and helping establish a new machining facility that will integrate directly with advanced automation and robotic workflows.

Role Overview

As the Machine Shop Supervisor, you will be the primary leader responsible for CNC machining operations that support sophisticated automated manufacturing systems. You will guide personnel, oversee production schedules, develop CNC programs, and ensure best‑in‑class machining practices across multi‑axis equipment and robotic machine‑tending environments.

You will also be heavily involved in planning and setting up the machine shop during an upcoming facility relocation, including equipment layout, workflow optimization, and integrating machining activities with automated equipment and digital manufacturing technologies.

Every day will bring new challenges … new parts, new processes, and new engineering problems to solve, while maintaining a high standard of precision, safety, and operational excellence.

Key Responsibilities

• Lead, train, and mentor CNC machinists to meet production goals and uphold quality and safety standards.
• Oversee daily machining operations, including scheduling, prioritizing workloads, and coordinating with automated production lines and supporting departments.
• Create, refine, and optimize CNC programs for complex components used in robotic assemblies, tooling packages, motion‑control systems, and custom automated machinery.
• Use CAM programming tools (Mastercam, Fusion 360, or equivalent) to develop efficient toolpaths, reduce cycle times, and ensure compatibility with automated material-handling systems.
• Support and troubleshoot multi-axis machining centers, robotic tending cells, and automation-assisted machining processes; experience with Okuma equipment is highly beneficial.
• Drive the setup and organization of the new machine shop facility—including equipment placement, workflow development, process layout, and integration with automation and digital systems.
• Collaborate closely with engineering, automation, and maintenance teams to address machining issues, improve system performance, and enhance uptime and reliability.
• Interpret detailed engineering drawings, GD&T requirements, and automation-related part specifications to ensure accurate and repeatable production results.
• Maintain a clean, organized, and safety‑focused work environment aligned with modern automated manufacturing expectations.
• Participate in continuous-improvement initiatives involving automation enhancements, process optimization, tooling improvements, and smart‑manufacturing strategies.

Required Qualifications

• Prior experience in setting up a machine shop or similar environment (industrial automation or advanced-manufacturing environment)
• Associate or Bachelor’s degree in Machine Tool Technology, Computer Integrated Machining, or a closely related manufacturing discipline.
• 8+ years of experience in CNC machining, electrical/mechanical technical support, or similar roles in an advanced-manufacturing environment.
• Demonstrated background in CNC machining, programming, and supervising machining teams within high‑precision or automation-driven production settings.
• Strong understanding of multi‑axis machining, robotic machine‑tending concepts, and automated part-handling systems.
• Proficiency with CAM software such as Mastercam, Fusion 360, or similar platforms.
• Working knowledge of advanced manufacturing technologies (robotics, PLC-controlled equipment, vision systems, digital factory tools).
• Solid foundation in machining fundamentals, tooling selection, fixturing, and precision manufacturing practices.
• Strong leadership, communication, and troubleshooting skills with the ability to support both machining personnel and automated systems.

Work Environment & Location

• Full‑time, onsite position based in the Raleigh/Morrisville area.
• Role requires hands‑on presence on the shop floor; remote or hybrid schedules are not available.
• Position includes significant involvement in setting up a newly relocated machine shop.
• Relocation assistance is not provided.

What They Offer

• Competitive Compensation – Pay aligned with technical skill level and supervisory responsibilities.
• Health Benefits – Medical, dental, and vision insurance covered by the company.
• Life Insurance – Company‑paid plan for financial protection.
• 401(k) Retirement Plan – Employee contribution options to support long-term savings.
• Paid Time Off – Flexible PTO plus company‑paid holidays.
• Uniforms & Safety Gear – Provided to ensure professionalism and workplace safety.
• Advanced Technology Exposure – Work with multi‑axis machining, robotics, and automation-enabled processes supporting high‑precision, high-volume production environments.

You’ll join a collaborative, engineering-driven culture where machinists, programmers, and automation specialists work side-by-side—and where your skill, initiative, and leadership will directly influence the success of next‑generation automated manufacturing systems.

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: 

• Prepare and set up multiple work centers, ensuring initial parts meet Quality Assurance specifications.
• Set up numerical control machines or machining centers to perform functions such as cutting, drilling, milling, reaming, boring, and broaching.
• Mount, align, and secure tooling attachments and workpieces.
• Select and install cutting tools in machine spindles.
• Load control media or enter commands to retrieve preprogrammed instructions from the database.
• Operate CNC Avenger 200T, 850 X, and Orbitform Assembly Machines.
• Diagnose and troubleshoot issues in multiple work centers.
• Operate equipment through trial runs to verify setups and make necessary adjustments.
• Monitor displays and machine operations to detect malfunctions and resolve issues promptly.
• Enter commands or manually adjust machine controls to correct malfunctions or out-of-tolerance machining.
• Coordinate activities for operators and conduct on-the-job training for new operators.
• Instruct equipment operators and maintenance personnel on setup, operation, and maintenance of equipment.
• Perform preventive maintenance and minor repairs on machines as needed.
• Calculate and set machine controls to regulate factors such as cutting depth, speed, feed, and coolant flow.
• Stop machines to change cutting tools and setups as required by the machining sequence.
• Measure parts for conformance to blueprint specifications using precision measuring instruments.
• Discuss control media errors with programming personnel to resolve problems.
• Perform other customer-driven or product-driven duties as assigned by the supervisor.

• High school diploma or GED required.

• 3 to 5 years of experience in CNC and assembly machine operations.

• Knowledge of computer systems and hard gauging measuring equipment.
• Strong understanding of mechanical manufacturing processes and production tools.
• Ability to read tooling prints and perform mathematical calculations related to machining.
• Background in CNC programming.
• Familiarity with software packages relevant to machining operations.
• Attention to detail and troubleshooting aptitude.
• Strong communication, organizational, and people skills.
• Conceptual thinking and mechanical aptitude.

• Good vision and adequate hearing.
• Ability to lift light loads (10-20 lbs daily) and heavier loads (50-60 lbs occasionally).
• Manual dexterity and coordination.
• Mobility for bending and kneeling as required.

We are currently assisting our client, an industrial manufacturer, with a Machine Design Engineering search in the Stow, OH area.

Responsibilities:

• Will be responsible for the design and development of comprehensive machinery and automated systems.
• Engage in collaboration with Project Managers and Engineers to ensure all functional requirements are fulfilled.
• Oversee projects from the initial concept stage through to successful manufacturing.

Key Requirements:

• Proven experience in machine and equipment design.
• Proficiency in 3D CAD software.
• Ability to develop a concept into manufacturing

Additional Information:

• All information will be kept strictly confidential
• Applications will not be considered without a Resume/Curriculum Vitae which includes contact information

Who we are:

• JMI Recruiting Services is a third party search firm that strategically partners with our clients to recruit exceptional talent nationwide. Our customers include Fortune 500, private equity firms, and privately held companies. With our proven process, excellent track record, and willingness to outwork the competition, we consistently deliver quantifiable results.

Location: United States

At GoDaddy the future of work looks different for each team. Some teams work in the office full-time; others have a hybrid arrangement (they work remotely some days and in the office some days) and some work entirely remotely.

This is a remote position, so you'll be working remotely from your home. You may occasionally visit a GoDaddy office to meet with your team for events or meetings.  

This position is not eligible to be performed in Alaska, Mississippi, North Dakota, or the Virgin Islands.

GoDaddy is not currently considering candidates for this role in California, Seattle, or NYC.

Join Our Team

We are looking for an experienced leader in experimentation methodology to join our core Applied ML team. The Applied AI and Machine Learning team handles large-scale data to support many business areas. We develop a cohesive navigation experience across channels and web pages. Our goal is to simplify and improve the shopping experience for everyday entrepreneurs worldwide, helping them quickly find what they need on our website.

In this leadership role, you will enhance the strategic direction of our experimentation methodology efforts. You will use simulations and reinforcement learning, ensuring consistency with business objectives, and supporting cross-functional teams in data-informed experimentation solutions. You will guide teams working at the intersection of large-scale foundation models, multi-agent systems, and RL-based optimization, encouraging a culture of collaboration, innovation, and technical excellence.

What you'll get to do...

• Define and drive the strategic roadmap for AI driven experimentation methodology, aligning initiatives with organizational goals and business impact
• Supervise and mentor teams of scientists and engineers, providing technical guidance and career development
• Promote meticulous experimentation, including the development of simulation environments and robust evaluation frameworks using machine learning and RL
• Collaborate with product, engineering, and business teams to translate research outcomes into scalable, production-ready experimentation solutions
• Facilitate knowledge sharing and cultivate a collaborative, innovative environment across the Applied ML team and broader organization

Your experience should include...

• 3+ years of professional experience managing and leading high-performing teams, including mentoring and coaching team member to achieve organizational goals
• 5+ years of professional experience in experimentation methodology, Reinforcement Learning, and software development 
• 2 + years of professional with experimentation platforms, data pipelines, and analytical tools to guide methodological rigor
• A deep understanding of statistical principles, causal inference, and experimental design for large-scale digital products
• A track record of partnering effectively with experimentation platform teams, product managers, and business stakeholders to drive data-informed decision-making
• 5+ years of professional experience translating complex statistical concepts into actionable insights for technical and non-technical audiences
• The ability to define and implement a vision for experimentation best practices across diverse product areas

You might also have...

• Master's in computer science or equivalent quantitative fields

We've got your back... We offer a range of total rewards that may include paid time off, retirement savings (e.g., 401k, pension schemes), bonus/incentive eligibility, equity grants, participation in our employee stock purchase plan, competitive health benefits, and other family-friendly benefits including parental leave. GoDaddy's benefits vary based on individual role and location and can be reviewed in more detail during the interview process.

We also embrace our diverse culture and offer a range of Employee Resource Groups (Culture). Have a side hustle? No problem. We love entrepreneurs! Most importantly, come as you are and make your own way. 

About us...  GoDaddy is empowering everyday entrepreneurs around the world by providing the help and tools to succeed online, making opportunity more inclusive for all. GoDaddy is the place people come to name their idea, build a professional website, attract customers, sell their products and services, and manage their work. Our mission is to give our customers the tools, insights, and people to transform their ideas and personal initiative into success. To learn more about the company, visit About Us. 

At GoDaddy, we know diverse teams build better products—period. Our people and culture reflect and celebrate that sense of diversity and inclusion in ideas, experiences and perspectives. But we also know that's not enough to build true equity and belonging in our communities. That's why we prioritize integrating diversity, equity, inclusion and belonging principles into the core of how we work every day—focusing not only on our employee experience, but also our customer experience and operations. It's the best way to serve our mission of empowering entrepreneurs everywhere, and making opportunity more inclusive for all. To read more about these commitments, as well as our representation and pay equity data, check out our Diversity and Pay Parity annual report which can be found on our Diversity Careers page.

GoDaddy is proud to be an equal opportunity employer. GoDaddy will consider for employment qualified applicants with criminal histories in a manner consistent with local and federal requirements. Refer to our full EEO policy.

Our recruiting team is available to assist you in completing your application. If they could be helpful, please reach out to  

Colorado Residents: In any materials you submit, you may redact or remove age-identifying information such as age, date of birth, or dates of school attendance or graduation. You will not be penalized for redacting or removing this information.

GoDaddy doesn't accept unsolicited resumes from recruiters or employment agencies.

Are you a proven leader in machining operations with a passion for driving efficiency, quality, and growth? Our client is seeking a Machine Shop General Manager for a precision machining and fabrication shop supporting marine, industrial, and commercial customers.

This is a hands-on leadership role where your expertise will directly impact operations, profitability, and team success. If you thrive in a dynamic manufacturing environment and want to make a lasting impact, we want to hear from you.

What You’ll Do

• Lead & Inspire: Oversee day-to-day operations, mentoring a skilled team of machinists and support staff to achieve production, quality, and safety goals.
• Drive Operational Excellence: Manage workflow, scheduling, equipment maintenance, and continuous process improvements to maximize efficiency.
• Financial Leadership: Own the P&L—manage budgets, labor, purchasing, and pricing to ensure profitability and sustainable growth.
• Customer & Vendor Relations: Cultivate strong relationships with clients, suppliers, and vendors, delivering exceptional service and reliable solutions.
• Quality & Safety Champion: Ensure all work meets strict quality standards while maintaining a safe, compliant, and organized shop environment.

Who You Are

• Experienced & Hands-On: Proven background in machine shop operations, machining, fabrication, or related manufacturing leadership.
• People-Oriented Leader: Skilled at managing, developing, and motivating high-performing teams.
• Business Savvy: Comfortable managing budgets, quoting jobs, and driving profitability while delivering value to customers.
• Problem Solver: Strong analytical skills with the ability to troubleshoot operational challenges and implement effective solutions.
• Tech-Enabled: Familiarity with ERP, job costing, and scheduling software; proficient in Microsoft Office.

Why You’ll Love This Role

• Take the reins of a respected machine shop with state-of-the-art equipment and a legacy of precision work.
• Lead a tight-knit, skilled team where your leadership truly makes an impact.
• Play a key role in shaping growth and operational excellence for a manufacturing operation with strong industry reputation.
• Competitive compensation and benefits package, with opportunity for long-term career growth.

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.

• 
  

  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:

• 
  
• 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 .