APPLICATION INSTRUCTIONS:

• CURRENT PENN STATE EMPLOYEE (faculty, staff, technical service, or student), please login to Workday to complete the internal application process. Please do not apply here, apply internally through Workday.

• CURRENT PENN STATE STUDENT (not employed previously at the university) and seeking employment with Penn State, please login to Workday to complete the student application process. Please do not apply here, apply internally through Workday.

• If you are NOT a current employee or student, please click “Apply” and complete the application process for external applicants.

Approval of remote and hybrid work is not guaranteed regardless of work location. For additional information on remote work at Penn State, see Notice to Out of State Applicants.

JOB DESCRIPTION AND POSITION REQUIREMENTS:

We are seeking a highly motivated and skilled researcher to join our team working on federated learning for healthcare. The ideal candidate will have a strong background in federated learning and its applications in healthcare, demonstrated through publications in top-tier conferences.

Responsibilities:

• Conduct cutting-edge research in federated learning for healthcare applications.
• Develop and implement innovative algorithms and models to enhance data privacy and security in distributed medical datasets.
• Collaborate with interdisciplinary teams to translate research findings into practical solutions.
• Publish research findings in top-tier conferences and journals.
• Mentor junior researchers and contribute to the growth of our research team.

Requirements:

• Publications: The candidate must have published papers on federated learning and healthcare in top conferences such as NeurIPS, ICML, ICLR, KDD, ACL, EMNLP, NAACL, IJCAI, and AAAI.
• Technical Skills: Strong programming abilities in languages such as Python, with experience in machine learning frameworks (e.g., TensorFlow, PyTorch).
• Research Skills: Demonstrated expertise in federated learning, machine learning, and healthcare applications.
• Communication: Excellent written and verbal communication skills, with the ability to effectively communicate complex technical concepts to diverse audiences.
• Collaboration: Proven ability to work effectively in interdisciplinary teams and contribute to collaborative research projects.

Preferred Qualifications:

• Experience with medical datasets and healthcare-related research.
• Familiarity with data privacy regulations and ethical considerations in healthcare.
• Strong problem-solving skills and the ability to think creatively and independently.

The Pennsylvania State University is committed to and accountable for advancing diversity, equity, inclusion, and sustainability in all of its forms. We embrace individual uniqueness, foster a culture of inclusion that supports both broad and specific