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Job TitlePostdoctoral Fellow – Quantum Computing
LocationCleveland
FacilityCleveland Clinic Main Campus
Department
Job CodeX1004
ShiftVariable
Schedule12:00am-12:00am
Job SummaryHighly motivated individuals with a PhD or MD/PhD in relevant area are encouraged to apply. This training position, under the direct supervision of a Cleveland Clinic Principal Investigator will provide practical training and experience in a research setting. This position is appointed through Cleveland Clinic Research. The successful applicant will be able to demonstrate a commitment to research, a collaborative work ethic and strong communication skills, both written and verbal. This program is expected to be completed within 5 years.
Job Details
The Cleveland Clinic Center for Computational Life Sciences (CCLS) invites applications for multiple Postdoctoral Fellowships in its Collaborative Quantum Computing Research Program. These positions offer the opportunity to advance cutting-edge research at the intersection of quantum information science, biomedical research, and healthcare. Postdoctoral fellows will have access to the first private sector quantum computer dedicated to healthcare and life sciences, an on-premises IBM Heron Quantum System (156 Qubit), located on Cleveland Clinic’s main campus.
Postdoctoral fellows will support multiple projects led by Principal Investigators from across the Cleveland Clinic and contribute to the Center’s overarching mission of exploring and demonstrating quantum advantage for high-impact biomedical challenges.
Principal Investigator: Lara Jehi, MD, Carl Saab, PhD, Daniel Blankenberg, PhD
Cleveland Clinic Research Department: Computational Life Sciences
Example Research Areas
Selected fellows may contribute to projects including, but not limited to:
Biomechanical simulation datasets: applying quantum-enhanced simulation techniques to model physiological processes and analyze patient-specific imaging data.Biomedical dataset triage: developing quantum machine learning frameworks to identify which biomedical datasets are best suited for quantum advantage.Molecular and protein structure modeling: leveraging hybrid quantum-classical algorithms for molecular simulations and protein folding challenges.Physiological signal analysis: applying quantum machine learning and wavelet methods to enhance the analysis of cardiac and other time-series biosignals.Neuroscience signal forecasting: developing quantum approaches for predicting neural activity patterns from EEG or related datasets to support brain-computer interface research and test fundamental scientific hypotheses.Lab Research Topics:
Quantum computingQuantum information scienceBiomedical data analysisQuantum algorithmsHybrid quantum-classical methodsFor more information about the lab’s research, please visit: https://my.clevelandclinic.org/research/computational-life-sciences/discovery-accelerator.Job Responsibilities:
Independent project design with the goal of data generation, analysis, interpretation and manuscript preparationConduct research in quantum circuit–level algorithm design and implementationDevelop methods for error mitigation, noise modeling, and circuit optimization on near-term devicesCollaborate with Principal Investigators across Cleveland Clinic on quantum applications in biomedicinePrepare manuscripts, present at conferences, and contribute to collaborative program deliverablesEducation:
PhD or MD/PhD requiredMD with relevant laboratory experience may substitute for PhDLanguages:
English Proficiency proof required for candidates arriving on J-1, J-2, or F1 + OPT visa statusWork Experience:
Previous experience in a research or academic setting. Graduate student experience meets this requirement.Scientific writing experienceAdditional Preferred Qualities:
A PhD in Quantum Computing, Quantum Information Science, Physics, Computer Science, Engineering, Applied Mathematics, or related fields.Demonstrated expertise in Quantum Information Science (QIS) and in the quantum circuit-level design and implementation of algorithms.Experience with error mitigation techniques, noise modeling, and circuit optimization for near-term quantum devices.Hands-on experience with IBM Quantum hardware and software platforms.Strong programming skills and experience with the latest version of Qiskit.Interest in working across disciplines with biomedical collaborators.Experience with biomedical datasets is beneficial but not required.Physical Requirements:
Ability to perform work in a stationary position for extended periodsAbility to operate a computer and other office equipmentAbility to communicate and exchange accurate informationAbility to distinguish colorManual dexterity to handle specimens and repair equipmentAbility to lift and transport equipment or specimens weighing up to 20 poundsMay be exposed to hazardous chemicals, bio-hazards, radioactive materials, etc.Personal Protective Equipment:
PPE per institutional requirements; may vary by laboratoryPreferred Application Materials:
CVCover letter describing research experience and interest in quantum computing for biomedical applications (include links to code repositories, e.g., GitHub); Contact information for at least three referencesKeywords: Postdoc, Research, LRI, Quantum Computing, Quantum Algorithms, Quantum Circuits, Qiskit, IBM Quantum, Quantum Information Science, Error Mitigation, Noise Modeling, Circuit Optimization, Biomedical Data, Protein Folding, Signal Analysis, EEG, ECG, Hybrid Quantum-Classical
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