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Machine Learning Quantum Computing Jobs in Missouri

Linear Algebra Tutor

Columbia, MO · Remote

$18 - $40/hr

... machine learning, and quantum mechanics applications. * Curriculum Awareness & Adaptive Instruction ... vector spaces, computing determinants of large matrices, and grasping the significance of ...

... machine learning, and quantum mechanics applications. * Curriculum Awareness & Adaptive Instruction ... vector spaces, computing determinants of large matrices, and grasping the significance of ...

... machine learning, and quantum mechanics applications. * Curriculum Awareness & Adaptive Instruction ... vector spaces, computing determinants of large matrices, and grasping the significance of ...

$89K - $122K/yr

Extensive knowledge of distributed computing and big data technologies like Spark, Kubeflow, Airflow and SQL * Extensive expertise in Python and machine learning libraries (e.g., TensorFlow, PyTorch ...

Senior AI Engineer

Chesterfield, MO · On-site

$54.75 - $70.50/hr

... computing frameworks, specifically in scalable machine learning and high-performance data processing (e.g., using technologies like Apache Spark). • Contribute to the strategic growth of the ML ...

Senior AI Engineer

Chesterfield, MO · Remote

$54.75 - $70.50/hr

Leverage expertise in distributed computing frameworks, specifically in scalable machine learning and high-performance data processing (e.g., using technologies like Apache Spark). Contribute to the ...

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Machine Learning Quantum Computing information

What is the difference between Machine Learning Quantum Computing vs Data Scientist?

AspectMachine Learning Quantum ComputingData Scientist
Required CredentialsAdvanced degrees in quantum computing, machine learning, or related fieldsDegree in data science, statistics, or computer science
Work EnvironmentResearch labs, tech companies focusing on quantum tech, academiaBusiness environments, tech companies, consulting firms
Industry UsageEmerging quantum tech industry, research institutionsFinance, healthcare, marketing, e-commerce
Common Search/ComparisonQuantum algorithms, quantum machine learningData analysis, predictive modeling

Machine Learning Quantum Computing specialists focus on developing algorithms that leverage quantum mechanics to enhance machine learning tasks, often requiring advanced knowledge of quantum physics. Data Scientists analyze and interpret large datasets using traditional machine learning techniques. While both roles involve machine learning, the former emphasizes quantum computing applications, whereas the latter centers on data analysis in conventional computing environments.

What are the key skills and qualifications needed to thrive as a Machine Learning Quantum Computing Specialist, and why are they important?

To thrive in Machine Learning Quantum Computing, you need strong foundations in quantum mechanics, linear algebra, and advanced machine learning concepts, typically supported by a degree in physics, computer science, or a related field. Familiarity with quantum programming languages (such as Qiskit or Cirq), cloud-based quantum platforms, and proficiency in Python are usually required, alongside experience with relevant certifications or coursework. Strong problem-solving skills, adaptability, and effective collaboration are vital soft skills in this interdisciplinary field. These competencies are crucial for driving innovation and bridging the gap between quantum computing and practical machine learning applications.

How do professionals in Machine Learning Quantum Computing typically collaborate with interdisciplinary teams?

Professionals in Machine Learning Quantum Computing often work closely with experts in physics, computer science, and engineering. Collaboration usually involves translating quantum concepts for machine learning specialists and vice versa, ensuring that algorithms are both theoretically sound and practically implementable on quantum hardware. Regular meetings, code reviews, and knowledge-sharing sessions are standard, as interdisciplinary insight is crucial for advancing research and developing scalable solutions. Effective communication and a willingness to learn from other domains are essential for success in these teams.

What is Machine Learning Quantum Computing?

Machine Learning Quantum Computing is an interdisciplinary field that combines principles of quantum computing with machine learning techniques. It aims to leverage the computational power of quantum computers to enhance the performance of machine learning algorithms, potentially solving complex problems more efficiently than classical computers. This area includes developing quantum algorithms for tasks such as classification, clustering, and optimization, as well as using machine learning to improve quantum hardware and error correction. Researchers expect that, as quantum hardware matures, this field could revolutionize data analysis, cryptography, and scientific discovery.
What job categories do people searching Machine Learning Quantum Computing jobs in Missouri look for? The top searched job categories for Machine Learning Quantum Computing jobs in Missouri are:
What cities in Missouri are hiring for Machine Learning Quantum Computing jobs? Cities in Missouri with the most Machine Learning Quantum Computing job openings:
Tenure-Eligible ASSISTANT/ASSOCIATE/ full PROFESSOR of ELECTRICAL & COMPUTER ENGINEERING / UMKC Scho

Tenure-Eligible ASSISTANT/ASSOCIATE/ full PROFESSOR of ELECTRICAL & COMPUTER ENGINEERING / UMKC Scho

UMKC

Kansas City, MO • On-site

Full-time

Medical, Dental, Vision, Retirement

Posted 16 days ago


University Of Missouri-Kansas City rating

7.6

Company rating: 7.6 out of 10

Based on 6 frontline employees who took The Breakroom Quiz

251st of 552 rated colleges and universities


Job description

Hiring Department
SCHOOL OF SCIENCE AND ENGINEERING
UNIVERSITY OF MISSOURI - KANSAS CITY
Division of Energy, Matter and Systems
Energy, Matter, and Systems (EMS) is the largest and most academically diverse division in the School of Science and Engineering (SSE). The Division includes the Faculties of Electrical and Computer Engineering (ECE), Mechanical Engineering (ME), Chemistry (CHEM), and Physics & Astronomy (P&A). EMS fosters cross-disciplinary collaborations in both research and education. It has been instrumental in the establishment and continued success of the Missouri Institute of Defense and Energy (MIDE), which has become one of the most successful platforms within the University of Missouri System for sponsored research and collaboration among academia, industry, and government agencies. EMS faculty led efforts to secure multidisciplinary projects and helped UMKC attain the Carnegie R1 status.
https://www.umkc.edu/research/r1.html
https://sse.umkc.edu/research/
The ECE programs in the EMS division have undergone exciting growth in recent years. In addition to the EAC-accredited BS, MS, and PhD programs, the Faculty of ECE plays a key role in several new interdisciplinary programs in Biomedical Engineering, Cybersecurity, and Sustainable Energy Technologies. The Faculty of ECE is highly active in research and holds the record for the most active research grants per tenure-system faculty on the UMKC Campus. In addition to single PI grants, the faculty of ECE also has collaborative projects with the Schools of Pharmacy, Medicine, and Dentistry, and with other STEM and non-STEM units across the campus and beyond. The existing ECE faculty carry out frontier research in Electromagnetics, Optical and Quantum Physics and Engineering, Semiconductors and Next-Generation Electronics, Internet of Things and Future of Computing, Artificial Intelligence and Machine Learning, Electric Power, Renewable Energy, and Control Systems, Signals, Systems, and Communications, Bioelectronics and Intelligent Health Systems. https://sse.umkc.edu/academics/
The SSE recently added a new $40M, 58,000 sq. ft. state-of-the-art facility to support multidisciplinary education, research, and economic development initiatives. Some of the key components of this new facility are NextGen Data Science and Analytics Innovation Center (dSAIC), Augmented and Virtual Reality Lab, Robotics Lab, Motion Capture Lab, UAV & Drone Lab, Innovation Studio & 3D Printing Lab, High-Performance Computing Lab and an Anechoic Chamber . https://sse.umkc.edu/
Job Description
ASSISTANT/ ASSOCIATE/ or FULL PROFESSOR
of Electrical and Computer Engineering
The Division of Energy, Matter and Systems (EMS) in the School of Science and Engineering (SSE) at the University of Missouri-Kansas City (UMKC) is seeking applications and nominations of candidates in the broad areas of quantum computing, wireless communication, robotics, and very large scale integration ( VLSI) and analog systems for a tenure-track/tenure-eligible faculty position in Electrical and Computer Engineering at the Assistant, Associate, or Full Professor level to start in Fall 2027.
Areas of interest for the TT Position: Candidates with backgrounds and expertise in emerging domains, including quantum computing, wireless communication, robotics, and VLSI and analog systems that have strong prospects for extending our sponsored research programs are encouraged to apply. Research in these areas is expected to provide continuous external funding for novel architectures, algorithms, and hardware solutions that address the growing complexity of modern communication networks, autonomous systems, and integrated circuit technologies. These domains include quantum cryptography, quantum analytics, high-performance wireless communication systems, autonomous and cyber-physical robotic platforms, low-power and high-speed VLSI designs, mixed signal and RF circuits, and specialized hardware for sensing, signal processing, and intelligent systems. Successful applicants will have access to the state-of-the-art lab facilities at the SSE, EMS, and the Missouri Institute of Defense and Energy (MIDE). These facilities include several multidisciplinary labs and centers that have supported $75M in externally awarded grants and contracts from various federal agencies, including NSF, DOE, and DOD.
The successful candidates are expected to:
  1. have a strong commitment to teaching undergraduate and graduate courses in ECE and related areas;
  2. develop and sustain an extramurally funded research program;
  3. mentor undergraduate/graduate students and post-doctoral fellows in research and advanced pedagogy;
  4. engage in discipline, division, school, or university services appropriate to the position including serving on graduate committees; and
  5. advance the goals and strategic plans of SSE and UMKC.

Qualifications
All applicants must hold a Ph.D. in Electrical and Computer Engineering or a closely related discipline as of the start date.
Post-doctoral experience is valued.
Applicants for the Associate or full Professor position should have all qualifications of an Assistant Professor, as well as successful grant applications, multiple peer-reviewed publications, mentorship of graduate students or postdoctoral fellows, and strong student evaluations from didactic teaching at their previous position.
Anticipated Hiring Range
Salary is commensurate with rank, credentials, evidence of (or potential for) externally funded research, and experience.
This is a nine-month, benefit-eligible, full-time (1.0 FTE) ranked, faculty appointment eligible for promotion and tenure.
The University of Missouri provides generous leave, health plans, tuition discounts at all 4 UM System universities for full-time employees and qualifying dependents, and retirement contributions. Our academic workloads and schedules promote a positive work/life balance.
Application Materials
For consideration, you must apply online at Careers - Human Resources | University of Missouri-Kansas City , click on Prospective Employees (Job Opening ID 60145).
Please submit the following:
  • cover letter highlighting qualifications for a tenure-track faculty position,
  • curriculum vitae,
  • research statement including successes in externally funded research and PI experience,
  • statement of teaching interests/philosophy and teaching experience, courses taught,
  • the names and current contact information for three professional references.

Please combine all application materials into one PDF or Microsoft Word document and upload as your resume attachment. Limit document name to 50 characters and do not include any special characters (e.g., /, &, %, etc.).
  • If you are experiencing technical problems during application, please email umpshrsupport@umsystem.edu .
  • Please direct all inquiries about the position please contact umkcfacultysearch@umkc.edu at University of Missouri-Kansas City, including the job identification number 60145 and name of the position.
  • Reasonable accommodations may be requested during the application and recruitment process. If you need an accommodation, please contact the Office of Affirmative Action at (816) 235-1323.

Higher education transcripts will be required for candidates advancing as finalists. Candidates will receive prior notification when references will be contacted . After the committee's initial review, all uploaded materials may be shared with all faculty in the EMS division. A Criminal Background Check is required prior to hire.
Application Deadline
Applications will be accepted until a qualified candidate is hired.
Sponsorship Information
Employment visa sponsorship may be available for this position.
Other Information
UMKC is a public, urban, R1 research university with more than 15,000 undergraduate, graduate, and professional students. It is situated in the heart of Kansas City, a vibrant urban community with a Midwestern appeal and an affordable cost of living. Kansas City is a world-class computing and engineering hub, home to companies such as Cerner, Ericsson, IBM, SS&C, Garmin, and Honeywell (defense contracts) that provide enriching educational partnerships for SSE students and faculty. Our university is committed to being a model urban institution recognized for its partnerships with surrounding urban communities, effectively fostering a healthy, safe, and more economically secure quality of life. We are proud to be Kansas City's University. https://www.umkc.edu/
Community Information
A City on the Rise: Big City Life and Midwest Charm, Kansas City offers the best of both worlds - a vibrant, urban community with midwestern appeal and an affordable cost of living. The university is located in a Kansas City metropolitan area that is among the most entrepreneurial cities in America with a population of more than 2.4 million. Our UMKC campuses are centered in the hubs of business activity, cultural arts, (some great barbeque and ethnic cuisine!) and health science research engagement for both the Volker and Health Sciences campuses. Our community boasts championship professional athletic teams, NASCAR racing, a new international airport and a rich history of music and performing arts. Our beautiful state provides rivers, lakes, biking/hiking trails and mountains for outdoor enthusiasts all within an easy drive.
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Benefit Eligibility
This position is eligible for University benefits. As part of your total compensation, the University offers a comprehensive benefits package, including medical, dental and vision plans, retirement, and educational fee discounts for all four UM System campuses. For additional information on University benefits, please visit the Faculty & Staff Benefits website at https://www.umsystem.edu/departments-staff/human-resources/benefits-retirement
Equal Employment Opportunity
The University of Missouri is an Equal Opportunity Employer .
To request ADA accommodations, please call the Office of Equity & Title IX at 816-235-6910.

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