Tiger Analytics Jobs in Usa
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We are hiring a Senior DLP Analytic Rule Developer to build and mature our Microsoft Purview DLP program across a complex, multi-cloud retail enterprise. You will design, develop, and tune analytic rules that protect sensitive data thousands of endpoints, spanning Microsoft 365, endpoint DLP, SaaS applications, and structured cloud data.
This role sits within Security Engineering and focuses on building production-grade DLP policies from the ground up. You will own analytic logic, reduce false positives, and translate regulatory requirements into precise technical controls aligned to PCI DSS, SOX, and state privacy laws.
Key Responsibilities
- Design and deploy baseline production DLP policies across Copilot, Exchange Online, SharePoint, OneDrive, Teams, endpoint DLP, Defender for Cloud Apps, on-premises file shares, and SaaS platforms.
- Build and maintain custom sensitive information types, EDM classifiers, and trainable classifiers within Microsoft Purview.
- Develop advanced pattern matching and detection logic to minimize false positives while preserving coverage.
- Continuously tune policies based on alert telemetry, business workflows, and data usage patterns.
- Integrate DLP with Microsoft Defender and Insider Risk to improve detection context and risk scoring.
- Translate PCI DSS, SOX, and state privacy requirements into enforceable DLP controls.
- Build and formalize enterprise data classification taxonomy.
- Integrate Microsoft Purview DLP with adjacent security platforms using APIs and automation.
- Define and implement executive-level KPIs for DLP effectiveness.
- Build dashboards and reporting in Power BI or similar platforms.
Example of Expected Outcomes
- Deploy baseline production DLP policies across all Microsoft 365 workloads.
- Integrate DLP with Microsoft Defender to improve detection fidelity.
- Build enterprise data classification taxonomy aligned to regulatory requirements.
- Implement executive reporting with defined KPIs and operational metrics.
- Establish measurable reduction in false positives through tuning and classifier refinement.
Required Experience
- Hands-on experience building custom sensitive information types and EDM classifiers in Microsoft Purview.
- Experience developing and tuning trainable classifiers.
- Experience integrating DLP with Microsoft Defender, third-party apps.
- Experience with API integration and automation of security workflows.
- Experience building dashboards and metrics in Power BI or similar tools.
- Experience working in regulated environments including PCI DSS and SOX.
Preferred Qualifications
- Microsoft SC-400 certification.
- CISSP certification.
- Experience in retail or large distributed enterprise environments.
- Experience operating in multi-cloud environments.
The Director of Data Management and Analytics drives the data architecture strategy across the organization. This role is a subject matter expert in data architecture who translates business needs into technical specifications, provides research, data analysis, and delivery options to support data driven solutions. This leader provides well organized and excellent communication with business partners to build relationships and anticipate user needs. The director provides hands-on leadership, recommends system architecture, and is versed in all aspects of solution development including requirements definition, design, data source mapping and analysis, development, testing, implementation, and post implementation support.
KEY RESPONSIBILITIES
- Developing and implementing data management strategies
- Manage all intake requests across business units; track and monitor requests to ensure critical milestones are met while managing stakeholder relations.
- Lead a team of database and Power BI developers
- Leverage Data Modeling and AI tools
- Managing data quality and accuracy
- Overseeing data storage and retrieval
- Leading data analysis efforts including analyzing large quantities of data and identifying useful insights to drive business decisions
- Determine budgeting for staff and resources
- Gathering and verifying requirements, conducting unit testing and troubleshooting
- Accountable for transferring data, knowledge, and best practices to impact the delivery of products and services that align with Bioworld’s strategic needs
- Mentoring and training direct reports
- Ensure all data warehouse and operating procedures are fully documented and maintained
- Create and Automate reporting to support daily operational functions
- Coordinate cross-departmentally to support conceptualization and development of data handling methodologies, solutions and initiatives.
- Creating and presenting data visualizations
- Communicating business insights and project goals
QUALIFICATIONS AND EXPERIENCE
- Experience designing data management solutions for ecommerce, sales, accounting, and warehousing
- Strong analytical and problem-solving skills are required. Must have the ability to be systematic and detailed oriented without losing sight of the big picture. Demonstrated ability to interpret the information provided and ask clarifying questions to understand the underlying needs that of a stated request or problem.
- Background in data warehouse design (e.g. dimensional modeling) and data mining
- Proven experience as a SQL Developer or Data Scientist
- Experience designing cloud solutions (PaaS/SaaS) for compute, storage, and data source connectivity
- Demonstrated experience designing and managing solutions built on Microsoft Azure including Synapse and Fabric technologies.
- Demonstrated knowledge of SDLC, ITSM, privacy, and security concepts.
- Strong project management acumen
- Strong technical documentation skills
- Significant application development experience including requirements analysis, design, development, testing, implementation, and post implementation support is required. Experience must include the documentation and maintenance of related artifacts.
- Excellent written and oral communication skills; able to flex style based on the audience are required.
- Well-developed interpersonal skills
- Able to manage multiple tasks simultaneously.
- Highly self-motivated with ability to follow directed priorities.
- Keen attention to detail
- Team-oriented and collaborative leadership
EDUCATION REQUIREMENT
Bachelor’s degree in Computer Science, Data Analytics, Business Management, or similar discipline with a minimum 7 years of data architecture and solution development experience driving IT projects in consumer products, ecommerce, or similar related field.
BUSINESS HOURS
- Hours of operation: Monday-Friday: 8:30am – 5:30pm CST to overlap with USA operations; extended work hours depending on volume.
- On-call availability for resolving emergency issues from home.
Position title:
Project Scientist
Salary range:
The UC academic salary scales set the minimum pay determined by rank and step at appointment. See the following table for the current salary scale for this position: . A reasonable estimate for this position is $181,700 - $229,700.
Percent time:
100%
Anticipated start:
Winter/Spring 2026
Position duration:
Initial appointment is for one year with the possibility of renewal based on performance and funding availability.
Application Window
Open date: February 25, 2026
Next review date: Wednesday, Mar 11, 2026 at 11:59pm (Pacific Time)
Apply by this date to ensure full consideration by the committee.
Final date: Friday, Mar 27, 2026 at 11:59pm (Pacific Time)
Applications will continue to be accepted until this date, but those received after the review date will only be considered if the position has not yet been filled.
Position description
The Advanced BioImaging Center (ABC) in the Department of Molecular and Cell Biology at the University of California, Berkeley seeks applications for two Project Scientists at the Assistant, Associate, or full rank. The selected candidate will be appointed at the rank to commensurate with prior experience. The position will report to Professor Gokul Upadhyayula, with Professor Eric Betzig serving as an additional academic mentor. The project scientist will make significant and creative contributions in the area of machine learning & data analytics.
The Advanced BioImaging Center (ABC) at UC Berkeley aspires to be a world-leading multidisciplinary imaging center that drives important biological discoveries through critical new advances in all aspects of imaging technology and that drives the dissemination of that technology through a multi-pronged education strategy to scientists around the world. ABC was intentionally designed to maximize scientific productivity and impact by adopting groundbreaking imaging technologies such as the next-generation adaptive optical multifunctional microscope, incorporating the high-level technical expertise of instrumentation scientists, applied mathematicians, and computational scientists, and building worldwide collaborations aimed at tackling the challenges posed by terabyte and petabyte-scale imaging data processing, visualization, and dissemination. Members of the ABC have access to leading - edge imaging and computing hardware, as well as exposure to collaborators from a range of diverse disciplines, including in the fields of Artificial Intelligence, Data Science, Mathematics, and more.
The Assistant/Associate/Full Project Scientists will be an integral part of a visionary scientific team driving cutting-edge biological discoveries through immediate applications of critical advances in imaging technologies. These positions will work with a dedicated team to develop data analytics software in terabyte- to petabyte-scale imaging projects. The incumbents will develop and refine machine learning applications and manage projects and provide regular progress reports to PIs and collaborators.
Successful candidates will be an integral part of the expert team working together with computational scientists and biologists in experimental design to tackle complex biological questions in a quantitative manner. The work will primarily be conducted at the facility in Barker Hall. Occasional travel may be required.
Key Responsibilities
*Make significant and creative contributions to development of new imaging and data processing tools for datasets generated on multicellular tissues, organoids, transparent embryos.
*Design, build, and maintain new software packages for efficient data processing.
*Advise on applications of these tools for biological imaging; collaborate with Postdocs and graduate students on specific projects to test, learn and implement for general and specific use cases.
*General organization and management of software documentation.
*Bring cross disciplinary expertise to solve problems at the intersection between life science, computer vision, and state-of-the-art AI methods.
*Work with petabyte-scale light sheet datasets that are typically 4D or 5D (x,y,z,t,chemistry). Identify and implement scalable solutions to scientific questions on large-scale data sets, especially using performant algorithms.
*Develop machine learning approaches, computer vision tools to help pre-process dataset and annotations to generate groundtruth benchmarks.
*Contribute to dissemination via open source code repositories, demonstrations, publications, presentation.
These positions will be eligible for full benefits.
Lab:
Contract: ar-contract-2022/
Qualifications
Basic qualifications (required at time of application)
*PhD (or equivalent international degree)
Additional qualifications (required at time of start)
*Minimum of four years of postdoctoral research experience
*For consideration for the Associate Project Scientist rank: a minimum of 8 years of post PhD research experience
*For consideration for the full Project Scientist rank: a minimum of 14 years of post PhD research experience
Preferred qualifications
*PhD or equivalent international degree in Computation Data, Computer Sciences, Bioinformatics or Related field
*Demonstrated record of productivity and publications and/or scholarly contributions
*Strong biological background and understanding of molecular biology
*Demonstrate understanding of optical microscopy, including light sheet microscopy, adaptive optics, and modern scientific cameras
*Demonstrated ability to work in a research team, manage active collaborations with other academic groups
*Demonstrated experience handling and processing large scale imaging datasets (>100TB to petabyte scale and beyond)
*Expertise in programming in C++, Labview, MATLAB, Python
*Expertise in databases, data infrastructure, data governance
*Expertise in high performance computing using SLURM or LSF
*Experience with PyTorch, JAX, or Tensorflow
*Experience with NVIDIA CUDA and related OpenMP programming
*Experience with cloud services (AWS, GCP, Azure, etc)
*Experience with state of the art AI/ML architectures (vison transformers, diffusion models, etc
*Experience mentoring undergraduate/graduate students, and/or technicians.
*Experience with professional speaking engagements
*Ability to effectively communicate, participate in efficient and open collaboration, and engage with a diverse group of researchers
*The ideal candidate will be innovative and able to synergize various ideas and approaches, while exercising sound judgment to evaluate and take acceptable risks
Application Requirements
Document requirements
Curriculum Vitae - Your most recently updated C.V.
Cover Letter
Statement of Research - Provide a summary of your major research accomplishments in approximately 250 words. Additionally, please include a brief statement highlighting your experience that is directly relevant to the key responsibilities of this position
Project Portfolio - Summary portfolio of data and/or AI projects executed, as demonstrated by publications or github contributions
Reference requirements
- 3 required (contact information only)
Apply link:
JPF05256
Help contact:
About UC Berkeley
UC Berkeley is committed to diversity, equity, inclusion, and belonging in our public mission of research, teaching, and service, consistent with UC Regents Policy 4400 and University of California Academic Personnel policy (APM 210 1-d). These values are embedded in our Principles of Community, which reflect our passion for critical inquiry, debate, discovery and innovation, and our deep commitment to contributing to a better world. Every member of the UC Berkeley community has a role in sustaining a safe, caring and humane environment in which these values can thrive.
The University of California, Berkeley is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, or protected veteran status.
For more information, please refer to the University of California's Affirmative Action and Nondiscrimination in Employment Policy and the University of California's Anti-Discrimination Policy.
In searches when letters of reference are required all letters will be treated as confidential per University of California policy and California state law. Please refer potential referees, including when letters are provided via a third party (i.e., dossier service or career center), to the UC Berkeley statement of confidentiality prior to submitting their letter.
As a University employee, you will be required to comply with all applicable University policies and/or collective bargaining agreements, as may be amended from time to time. Federal, state, or local government directives may impose additional requirements.
Unless stated otherwise, unambiguously, in the position description, this position does not include sponsorship of a new consular H-1B visa petition that would require payment of the $100,000 supplemental fee.
As a condition of employment, the finalist will be required to disclose if they are subject to any final administrative or judicial decisions within the last seven years determining that they committed any misconduct.
- "Misconduct" means any violation of the policies or laws governing conduct at the applicant's previous place of employment, including, but not limited to, violations of policies or laws prohibiting sexual harassment, sexual assault, or other forms of harassment or discrimination, as defined by the employer.
- UC Sexual Violence and Sexual Harassment Policy
- UC Anti-Discrimination Policy
- APM - 035: Affirmative Action and Nondiscrimination in Employment
Job location
Berkeley, CA
Role : Technical Product Manager ( Data Analytics )
Location - Austin, TX (Onsite) - only Local to Texas (other states don't apply)
Exp Req : 10+
Rate : $55/Hr on W2 Max
Skills Mandatory :
1, Marketing Data Analysis knowledge.
2, KPI and metrics definition on Marketing Data. Mainly for media product.
3, Instrumentation knowledge and through process.
Original JD:
- Key Qualification 7+ years of experience in a Data Visualization, Data Scientist, or Data Analyst role, preferably for a digital subscription business.
- Strong proficiency with SQL-based languages is required. Experience with large-scale data technologies such as Hadoop, PySpark
- Proficiency with data visualization tools such as Tableau, , and/or MicroStrategy for analysis, insight synthesis, data product delivery, and executive presentation.
- You have a curious business mindset with an ability to condense complex concepts and analysis into clear and concise takeaways that drive action.
- Excellent communication, social, and presentation skills with meticulous attention to detail.
- Strong time management skills with the ability to handle multiple projects with tight deadlines and executive visibility.
- Be known for successfully bridging analytics and business teams, with an ability to speak the language of both.
Job Description :
- Build dashboards, self-service tools, and reports to analyze and present data associated with customer experience, product performance, business operations, and strategic decision-making.
- Create datasets, Develop global dashboards, data pipelines, sophisticated security controls, and scalable ad-hoc reporting
- Closely partner with our Data Science team to define metrics, datasets, and automation strategy
- Engage with Product, Business, Engineering, and Marketing teams to capture requirements, influence how our services are measured, and craft world-class tools to support those partners.
- Establish a comprehensive roadmap to communicate and manage our commitments and stakeholder expectations while enabling org-wide transparency on progress.
- Focus on scale and efficiency - create and implement innovative solutions and establish best practices across our full scope of delivery
- Education Minimum of a Bachelor’s degree in Computer Science, Statistics, Mathematics, Engineering, Economics, or related field. Technical Product Management
Key Qualifications :
- Experience in a Technical Product Management role, preferably for a digital-media or subscription business.
- Knowledge of Client-Server metrics logging strategies as well as data architecture required for analysis
- Hands-on experience with the end-to-end data lifecycle across petabyte-scale technologies
- Prior experience in a technical role (preferably as a data analyst or engineer), delivering data insights to stakeholders
- Strong experience designing and driving product strategy cross-functionally, collaborating with partners of various technical levels.
Nice to have :
• Experience in data-related programming languages (e.g. SQL, PySpark, Python, or R)
Description :
- Data is our product. We are looking for a self-starting, upbeat individual with excellent communication skills who is passionate about managing and developing critical datasets to maximize Data Science capabilities. You should have a strong interest in driving large-scale data products, engaging with key business stakeholders, and driving critical communications throughout the business.
Stephen
Lead Talent Acquisition Specialist
Email :
Experience:
3+ years building analytics dashboards and observability solutions. BI tools, SQL, Python. Experience with logging/metrics/tracing platforms.
Key Skills:
Dashboard development, decision quality metrics, funnel analytics, alerting, STARS impact attribution, A/B experiment measurement, compliance reporting.
VP, Reinsurance Catastrophe Analytics opening in Dallas, TX.
Lead and/or perform cat modeling using AIR and RMS as well as geospatial systems (ie, GIS software) involving numerous perils, eg, Wildfires, Hurricane, Earthquake, and Severe Convective Storm; develop and present customized cat analytics solutions to reinsurance clients; build tools and processes to enhance model capability; manipulate and report data focusing on cat modeling, as well as spatial, financial, and meteorological data sets.
Ideal candidate has 6-10 years of cat modeling experience (including data manipulation, mining, and analysis) using RMS, AIR, SQL, Python, or R.
(PR13055)
Join Our Client’s Team as a Laboratory Associate – Analytical R&D and Become a Vital Part of Cutting-Edge Research!
Are you passionate about science and eager to contribute to innovative development processes? We are seeking a detail-oriented Laboratory Associate to support our Analytical Research & Development team. In this dynamic role, you will be at the forefront of ensuring smooth laboratory operations, maintaining equipment, managing inventory, and supporting critical testing activities that drive our research forward. If you thrive in a fast-paced environment and have a keen eye for detail, this is your opportunity to make an impact in a collaborative, science-driven company.
Required Skills
- Solid understanding of laboratory science principles and quality concepts such as cGMP.
- Ability to read, understand, and follow complex work instructions and procedures.
- Proficiency with basic computer skills, including MS Office and Windows-based software.
- Strong organizational skills for maintaining samples, logs, and inventory databases.
- Excellent communication skills, both written and verbal.
- Ability to work independently and collaboratively within a team environment.
- Capacity to perform calibration and testing of laboratory equipment.
- Prior laboratory and inventory control experience.
- Knowledge of laboratory safety protocols and hazardous materials handling.
- Experience with documentation control and data management systems.
- Familiarity with laboratory equipment such as pH meters, balances, refrigerators, and water systems.
- Bachelor’s degree in a Science discipline or equivalent.
- Recent experience working in a laboratory setting, especially within an R&D environment.
- Ability to lift up to 50 pounds and perform physical tasks associated with laboratory operations.
- Comfort working with chemicals, acids, bases, solvents, and other hazardous materials in a controlled environment.
- Flexibility to adapt to shifting priorities while maintaining high-quality standards.
- Willingness to support biannual sample management and equipment calibration activities.
How To Apply
We’d love to see your resume, but we don’t need it to have a conversation. Send us an email to and tell us why you’re interested. Or feel free to email your resume. Please include Job#19684.
checkout all our open positions;
Our client is a $28B NY based multi-strategy Hedge Fund currently seeking to add a talented Associate to their Data & Performance Analytics Team. This individual will be working closely with senior managers across finance, investment management, operations, technology, investor services, compliance/legal, and marketing.
Responsibilities
- This role will be responsible for Compiling periodical fund performance analyses
- Review and analyze portfolio performance data, benchmark performance and risk statistics
- Review and make necessary adjustments to client quarterly reports to ensure reports are sent out in a timely manner
- Work with all levels of team members across the organization to help coordinate data feeds for various internal and external databases, in effort to ensure the integrity and consistency of portfolio data reported across client reporting systems
- Apply queries, pivot tables, filters and other tools to analyze data.
- Maintain client relationship management database and providing reports to Directors on a regular basis
- Coordinate submissions of RFPs by working with RFP/Marketing Team and other groups internally to gather information for accurate data and performance analysis
- Identifying opportunities to enhance the strategic reporting platform by gathering and analyzing field feedback and collaborating with partners across the organization
- Provide various ad hoc data research and analysis as needed.
Desired Skills and Experience
- Bachelor’s Degree with at least 2+ years of Financial Services/Private Equity data/client reporting experience
- Proficiency in Microsoft Office, particularly Excel Modeling
- Technical knowledge, data analytics using CRMs (Salesforce), Excel, PowerPoint
- Outstanding communication skills, proven ability to effectively work with all levels of Managment
- Comfortable working in a fast-paced, dead-line driven dynamic environment
- Innovative and creative thinker
- Must be detail oriented
A well-respected global law firm is seeking a temporary Legal Data Analytics Specialist to support reporting, metrics and analysis of firm-wide operations, processes and efficiencies. The ideal match possesses legal experience and understands the dynamics of professional services. If you enjoy taking information, synthesizing and making it digestible in a clear, professional manner, this is an excellent opportunity for you!
Key Responsibilities:
- Using firm systems and data, break down metrics, trends and details to understand and predict high-value firm efficiencies.
- Create reports for leadership on ad hoc reporting metrics to assist with firm tracking and growth initiatives.
- Ensure all digital files are secure, accurately uploaded and saved in the system.
- Ensure accuracy, confidentiality, and attention to detail across all materials and reports, meeting deadlines in a fast-paced environment.
- Organize information in digestible ways.
- Communicate with various internal contacts, such as legal staff and leadership.
Why You’ll Love Working Here:
- A global firm with a large DC office dedicated to employee growth.
- Structured office environment which offers many resources to help you complete your job as efficiently as possible.
- This is a temporary opportunity seeking a three-month commitment with one day remote per week.
What We’re Looking For:
- Tech-smart. You leverage digital tools effectively and quickly master new platforms, such as Excel, PowerBi and more.
- Legal Data Experienced. You have direct experience supporting similar projects or research, preferrable within a legal setting.
- Observant. You are highly detailed and meticulous working across spreadsheets.
- Perceptive. You enjoy bringing together all pieces of the puzzle to formulate one, concise end product.
Essential to Hawthorne Lane’s success is our ability to attract talent from a range of backgrounds. Our network reflects the diverse community around us, and we believe in a workplace where everyone feels valued and empowered to succeed. Applicants will not be discriminated against on the basis of race, color, creed, religion, sex, national origin, age, disability, marital or veteran status, sexual orientation, or any other legally protected status.
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
College of Engineering and Computer Science (CECS) - Mechanical and Aerospace Engineering (MAE)Work Schedule
VariesType of Appointment
RegularExpected Salary
NegotiableAs 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.
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