Tenure Line Faculty Position

The Pennsylvania State University; University Park (PA, TX); On-site; USD 60,000 - 100,000; Full time

Job summary

An established industry player invites applications for a tenure-line faculty position focused on machine learning and AI in Chemical and Molecular Biology. This role offers the opportunity to contribute to a thriving computational community supported by advanced research infrastructure. Candidates will engage in interdisciplinary research, with a strong emphasis on computational techniques that can significantly advance the fields of chemistry and biology. This is a unique chance to join a forward-thinking institution committed to diversity, equity, and inclusion while making impactful contributions to science.

Qualifications

• PhD required with experience in machine learning and AI applications.
• Strong computational skills essential for research and education.

Responsibilities

• Develop and apply machine learning techniques in biology.
• Engage in interdisciplinary research and collaboration.

Skills

Machine Learning

Artificial Intelligence

Computational Biology

Data Analysis

Education

PhD in relevant field

Job description

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.
• For all other applicants: Please click "Apply" and complete the application process for external applicants.

JOB DESCRIPTION AND POSITION REQUIREMENTS:

The Departments of Chemistry, Biochemistry and Molecular Biology, and the Institute of Computational and Data Sciences at Penn State University invite applications for an open rank tenure-line faculty position in the development or application of machine learning and artificial intelligence in the areas of Chemical, Molecular, or Structural Biology. The fields are rich in data from diverse sources including, but not limited to, next-generation sequencing, mass spectrometry, Cryo-EM, and crystallography. There is significant potential for computational techniques to advance many areas of chemistry and biology.

Penn State has committed to leadership in AI development and application through investments, including a faculty cluster hire. Candidates will find a thriving computational community supported by the Institute for Computational and Data Sciences, the Center for Artificial Intelligence Foundations and Scientific Applications, and experimental experts in chemical, molecular, and structural biology. Applicants should hold a PhD and demonstrate accomplishments in developing or applying machine learning in these fields. An experimental component is encouraged but a strong computational component is essential.

Successful candidates for Assistant Professor will demonstrate strong research potential and a commitment to interdisciplinary research and education. Candidates for Associate Professor should have a robust record of research, publications, and funding. Candidates for Full Professor should have a distinguished record nationally and internationally.

The Institute for Computational and Data Sciences (ICDS) supports interdisciplinary computation and data-enabled science, fostering high-impact methodologies and their applications. It includes over 30 co-hired faculty and 300 affiliated researchers, with access to advanced research infrastructure. More information can be found at http://icds.psu.edu.

Applicants should submit a cover letter, CV, a one-page diversity statement, a one-page teaching statement, and a research statement (up to five pages, excluding references) via this link and the Penn State jobs site. Assistant Professor applicants must also arrange for three reference letters to be submitted later in the process. Review begins January 17, 2022, and continues until the position is filled.

The university values diversity, equity, and inclusion and encourages applicants from diverse backgrounds, including women, underrepresented minorities, and those with non-traditional careers.

CAMPUS SECURITY CRIME STATISTICS: Penn State publishes an annual security and fire safety report, available here. Employment requires successful background checks.

EEO IS THE LAW: Penn State is an equal opportunity employer, committed to nondiscrimination regardless of race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability, or veteran status. Contact 814-865-1473 if accommodations are needed for the application process.