Research Assistant Professor

Job Requirements

Research Assistant Professor Posting Number:

Employment Status:
Full Time, Job Family:
Faculty Position

Ubicomp lab ((Use the "Apply for this Job" box below).) of Computer Science Department is dedicated to innovation and development in digital health technologies, systems and applications. In addition, it promotes Data science that lets it delve into the different multidisciplinary research problems and come up with the data-driven solutions using advanced data science techniques such as Deep Learning, Machine Learning Algorithms, Natural Language Processing, etc. The Ubicomp lab is looking for a key role on the research team to participate in big data analytics in health sciences with a focus on non invasive computing.

This involves working with large datasets from various sources, collaborate with researchers to develop predictive models to aid in detection diagnosis and management of patients with diseases.

Candidate should have a PhD degree in Computer Science, Engineering, or a related quantitative field. The following qualifications are not required, but highly valued: a strong background and training in statistical theory and methodology; proficiency/experience in C/C++ or Python; excellent oral and written communication skills.

• Research:
  Contributing to ongoing research, publishing in top journals and conferences, and developing algorithms.
• Technical leadership:
  Providing technical leadership in artificial intelligence and machine learning.
• Grant proposals:
  Assisting with writing research grant proposals.
• Scientific papers:
  Drafting scientific papers and technical documents.
• Research findings:
  Presenting research findings.
• External funding:
  Aiding in the formulation of proposals for external funding.
• Training:
  Contributing to training of undergraduate and Master’s level graduate researchers.
• Records:
  Maintaining accurate, organized, and complete records of research.
• Communication:
  Effectively communicating results.
• Course materials:
  Helping in preparing course materials of data science.

Required knowledge, skills and abilities:
Must be willing to work flexible hours as necessary.

It is the policy of Marquette University to provide equal employment opportunities (EEO) to all employees and applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status or any other applicable federal or state-protected classification.