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Internship Ibm Quantum Machine Learning Jobs in Indiana

Experience with machine learning frameworks like scikit-learn, TensorFlow, or PyTorch might be ... Statistical package expertise in IBM SPSS/PASW, R, STATA or MS Excel statistics. Compensation ...

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Internship Ibm Quantum Machine Learning information

What is an IBM Quantum Machine Learning Internship?

An IBM Quantum Machine Learning Internship is a temporary position for students or recent graduates to work alongside IBM researchers and engineers on projects at the intersection of quantum computing and machine learning. Interns typically contribute to developing algorithms, running experiments on real quantum hardware, and advancing the understanding of how quantum computers can enhance machine learning tasks. The internship provides hands-on experience with IBM's quantum technologies, including Qiskit, and offers opportunities to collaborate with leading experts in the field. Applicants generally need a background in computer science, physics, mathematics, or related fields, and some familiarity with quantum computing concepts.

What is the difference between Internship Ibm Quantum Machine Learning vs Data Science Intern?

AspectInternship Ibm Quantum Machine LearningData Science Intern
Required CredentialsBasic knowledge of quantum computing, programming, and machine learningBackground in statistics, programming, and data analysis
Work EnvironmentResearch-focused, technology-driven, often in labs or R&D teamsBusiness or research settings, analyzing large datasets
Industry UsageEmerging field within tech and research sectorsWidely used across industries like finance, healthcare, and tech
Search & Comparison IntentUnderstanding quantum ML internship opportunitiesExploring data science internship roles

Internship Ibm Quantum Machine Learning focuses on applying quantum computing techniques to machine learning problems, often requiring knowledge of quantum algorithms and programming. In contrast, Data Science Internships involve analyzing data, building models, and deriving insights using traditional data analysis tools. Both roles are research-oriented but differ in technical focus and industry application.

What kinds of projects or tasks can interns expect to work on during an IBM Quantum Machine Learning internship?

During an IBM Quantum Machine Learning internship, interns often collaborate with research scientists and engineers on projects that explore the intersection of quantum computing and machine learning. Typical responsibilities include implementing quantum algorithms, analyzing experimental data, developing proof-of-concept applications, and contributing to open-source software or research publications. Interns may also participate in team meetings, technical discussions, and code reviews, gaining exposure to cutting-edge quantum technologies and professional research environments. This hands-on experience provides valuable insight into both academic and industry applications of quantum machine learning.

What are the key skills and qualifications needed to thrive as an IBM Quantum Machine Learning Intern, and why are they important?

To excel as an IBM Quantum Machine Learning Intern, you typically need a background in computer science, physics, or a related field, with strong programming skills (Python) and foundational knowledge in quantum computing and machine learning. Familiarity with quantum programming frameworks such as Qiskit, as well as experience with machine learning libraries like TensorFlow or PyTorch, is highly beneficial. Strong analytical thinking, problem-solving abilities, and effective communication skills distinguish top candidates in this role. These competencies enable interns to contribute meaningfully to research projects, collaborate with interdisciplinary teams, and adapt to rapidly evolving technologies in quantum computing.
What job categories do people searching Internship Ibm Quantum Machine Learning jobs in Indiana look for? The top searched job categories for Internship Ibm Quantum Machine Learning jobs in Indiana are:
What cities in Indiana are hiring for Internship Ibm Quantum Machine Learning jobs? Cities in Indiana with the most Internship Ibm Quantum Machine Learning job openings:
Assistant/Associate Professor of Mechanical Engineering

Assistant/Associate Professor of Mechanical Engineering

Marian University

Indianapolis, IN • On-site

Full-time

Re-posted 12 days ago


Marian University (Indiana) rating

8.4

Company rating: 8.4 out of 10

Based on 5 frontline employees who took The Breakroom Quiz

81st of 555 rated colleges and universities


Job description

As a part of a diverse community of faculty and staff who represent many faith systems and worldviews, the E.S. Witchger School of Engineering at Marian University in Indianapolis invites applications for a full-time, tenure-track assistant/associate professor in mechanical engineering, starting August 2026. Mechanical engineering is the largest program under the Department of Biomedical, Chemical, and Mechanical Engineering. Exceptional candidates with vision, leadership potential, and passion will be considered for the position of Associate Professor with Tenure and Chair of the Department of Mechanical Engineering. We seek candidates in all related fields, who will promote Marian University's Catholic Franciscan mission and identity by providing learners with emphasis on advanced manufacturing, robotics, automation, additive manufacturing, artificial intelligence, machine learning, sustainable engineering, renewable energy, controls, and mechatronics.
Marian University is a Catholic, comprehensive, national university experiencing significant growth and expanded academic offerings in recent years. We offer a broad range of programs grounded in Franciscan and liberal arts traditions. Applicants should demonstrate a commitment to student learning and the ability to develop a productive research program. The successful candidate will support the university's Catholic mission and promote innovative pedagogy, integrating hands-on training and community-based learning across the curriculum. As a KEEN network university, Witchger Engineering integrates entrepreneurial-minded learning into our curriculum. Our collaborative and growing community values student engagement, problem-solving, and communication. Marian University encourages applications from candidates of all backgrounds.
Indianapolis is a dynamic city, recognized for its cultural, dining, and sporting opportunities, and regularly ranked among the "Best Places to Live" by Money Magazine and as one of Time Magazine's "World's Greatest Places."
Essential Duties and Responsibilities:
  • Actively engage the Catholic Franciscan mission and identity of Marian University by modeling the Franciscan Sponsorship Values and honoring the legacy of the founding congregation through transformative education, unity in diversity, leadership through service, integrating faith and life, and institutional policies.
  • Teach up to 12 credit hours per semester. Course releases may be available for those participating in research, developing innovative pedagogy, or performing other duties.
  • Demonstrate academic excellence, the potential for distinctive contributions to the holistic development of students and help advance the mission and values of the university.
  • Engage students in research, scholarship, and other professional activities.
  • Mentor and advise students through academic advising, student societies, research, and internship opportunities.
  • Participate in the life of the campus, including participation in faculty governance and co-curricular programs within the engineering school and across the university.
  • Contribute to curriculum development and assessment within the department.

University Expectations:
  • Knowledge of and a commitment to the mission of Marian University
  • Adheres to Marian University's policies and procedures
  • Shows courtesy and respect in interactions with fellow employees, students subordinates, and supervisors
  • Communicates regularly with supervisor about Department issues
  • Meets department productivity standards
  • Participates in developing department goals, objective, and systems
  • Assists to establish department measurements that align and support the accomplishment of the University's strategic goals
  • Adheres to the department budget

Required Qualifications:
  • Knowledge of and commitment to the mission and strategic vision of Marian University.
  • A Ph.D. in Mechanical Engineering or a closely related field.
  • Demonstrated potential for excellence and innovation in student-centered instruction of students of varying abilities at the university level.
  • Demonstrated interest in science teaching pedagogy, curriculum and program development. Experience with online teaching is preferred.
  • Potential for ongoing research, publication, and activity in professional associations.
  • Excellent communication and interpersonal skills.
  • Demonstrated ability to collaborate with colleagues of diverse backgrounds.
  • Leadership experience and vision for those considered for associate professor with tenure and chair of mechanical engineering

Review of applications will begin February 2 and continue until the position is filled.
For Consideration, All Applications Require:
  1. Cover Letter
  2. Current resume or CV
  3. Research Statement
  4. Teaching Statement
  5. Contact information of three professional references. The reference contact information must be entered after the application is submitted in the "My Presence" section of the applicant profile.
  6. Responses to the supplementary mission & identity questions.

Please review Marian University's Mission & Identity Statement before responding to the supplementary questions on your application:
https://www.marian.edu/faith
Information requests should be sent to Dr. Daba Gedafa (dgedafa@marian.edu), Dean of the E.S. Witchger School of Engineering.
Essential Functions:Work hours necessary to perform job requirements satisfactorily on a regular basis. Manage absence from work in responsible manner to ensure service to clients, work teams, and coworkers. Comply with Marian University policies and practices and seeking clarification of them when necessary.
Physical Requirements:The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
While performing the duties of this job, the employee is regularly required to sit; use their hands to handle or feel objects, equipment, or controls; and talk or hear. The employee is occasionally required to stand, walk, reach with their hands and arms, climb or balance, and stoop, kneel, crouch, or crawl.
The employee must occasionally lift and/or move up to 50 pounds. Specific vision abilities required by this job include close vision, distance vision, and the ability to adjust focus.
Work Environment:The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
Limitations and Disclaimer:The above job description is meant to describe the general nature and level of work being performed; it is not intended to be construed as an exhaustive list of all responsibilities, duties and skills required for the position.
All job requirements are subject to possible modification to reasonably accommodate individuals with disabilities. Some requirements may exclude individuals who pose a direct threat or signify can't risk to the health and safety of themselves or other employees.
This job description in no way states or implies that these are the only duties to be performed by the employee occupying this position. Employees will be required to follow any other job-related instructions and to perform other job-related duties requested by their supervisor in compliance with Federal and States Laws.
Requirements are representative of minimum levels of knowledge, skills and/or abilities. To perform this job successfully, the employee must possess the abilities or aptitudes to perform each duty proficiently. Continued employment remains on an "at-will" basis.
Marian University is an Equal Opportunity Employer. All individuals, including minorities, women, individuals with disabilities, and veterans, are encouraged to apply.
Equal Opportunity Employer
This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor.

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