Aug 17, 2021

Assistant/Associate Professor (tenure-track) - Departments of Materials Science and Engineering and Computer and Data Science

  • Case Western Reserve University
  • Case Western Reserve University, Cleveland, OH, USA
Full-Time Education Engineering Science

Job Description

The Case School of Engineering (CSE) is seeking qualified candidates to fill a faculty position at the rank of Assistant or Associate Professor jointly appointed in the Departments of Materials Science and Engineering (MSE) and Computer and Data Science (CDS). This is a tenured/tenure-track position and the goal is that this jointly appointed individual will catalyze collaborative research and education, providing momentum for new and emerging joint activities. 

Case Western Reserve University (CWRU) recognizes current trends present unique opportunities for impact on research and educational priorities that require new approaches to higher education beyond established department structures. In particular, the National Academy of Engineering has identified fourteen societal grand challenges that fall into four cross-cutting categories: sustainability, health, security, and joy of living. To address these grand challenges, we will need to advance the theory, practice, and application of computer systems; discover new computational algorithms, and statistical methods to manage, analyze, and visualize data; and gain an understanding of the multi-scale structure and properties of materials that underpin and control their performance. Therefore, the convergence of Materials Science and Computer and Data Science is necessary to engineer positive societal advancement; both in the direct impact of research efforts and for the training and education of data-literate scientists and engineers.

Computer, Data, and Materials Sciences are at the heart of all modern engineered technologies, and thus the possible list of novel research thrusts is vast. For this position, we are interested in discussing opportunities with candidates who are interested in advancing computer and data science to accommodate the data complexities that arise in materials science. These interests could include data systems for multi-dimensional data streams that evolve over time; automated data curation from unreliable or human-centric (natural language processing) sources; or visualization and extraction of metrics from 1D (spectra), 2D (micrographs), 3D (tomography), and 4D (time-variant) data streams. Materials science data streams could arise from particular challenges of harnessing the data revolution to enable in-line manufacturing and/or lifetime and degradation performance; by advancing techniques of material-state evolution-centric manufacturing; inverse design; physics-informed processing-microstructure-property machine learning modeling; and uncertainty propagation and outlier identification. 

Responsibilities and Duties: 

As the position is a joint hire, the applicant would have full rights within each department and shared research, teaching, and service commitments. The candidate will be provided mentoring, facilities, and support from both departments. 

Research/Scholarship: The candidate’s scholarly research should advance the state of the art in materials science and in computer and data sciences. Responsibilities include working with collaborators to fund research from government, industrial, and foundational grant programs,  and the dissemination of findings in avenues relevant to both fields.

Teaching: The position will require that individuals teach three courses per year between the CDS and MSE departments. The individual should be comfortable with teaching fundamental courses in either department and creating specialized advanced graduate courses that draw on both fields. This does not mean that all courses will have to contain content from each discipline; rather, that all courses will provide learning experiences and insight useful for students in both disciplines. 

Mentoring: The position will require that the individual advise undergraduate and graduate students in their programs of study within the CDS and MSE Departments,. The individual will work closely with peers in the CDS and MSE Departments to develop cross-functional courses and projects. 

Minimum Qualifications:

Candidates at the Assistant Professor level are required to have received a Ph.D. from an accredited University in Computer Science, Data Science, Material Science and Engineering, or a related discipline; should have demonstrated a record of research and scholarship demonstrating impact in both data science and material science, and show a vision of research and teaching excellence at their convergence; additionally candidates should have experience working with diverse student populations.

An appointment at the level of Associate Professor, in addition, will require evidence of a national reputation for research expertise, a distinguished record of publication, funded research, and successfully applied pedagogies for mentoring researchers and educating individuals from historically excluded and diverse perspectives; providing access to higher education for all.

How to Apply: 

Review of applications will begin on October 15 and continue until the position is filled. Send a letter of application, complete vitae, a list of three potential references, and statements of research, teaching, and diversity. 

The research statement should provide the committee a clear understanding of the applicant’s plans for future research programs and where they might search for funding. 

The teaching statement should provide insight into the applicant’s philosophy for enriching the learning of emerging scholars both in and out of the formal classroom.  

The diversity statement should provide a clear record of applicants’ past (if applicable) and proposed efforts to promote diversity, equity, and inclusion of historically excluded individuals in their teaching, research, and service.

Each statement should be no more than two pages. 

The full application packet should be sent via email as a single pdf document to:

Simone Quartell
Administrative Assistant, Department of Materials Science and Engineering
[email protected] 

In employment, as in education, Case Western Reserve University is committed to Equal Opportunity and Diversity. Women, veterans, members of underrepresented minority groups, and individuals with disabilities are encouraged to apply.

Case Western Reserve University provides reasonable accommodations to applicants with disabilities. Applicants requiring a reasonable accommodation for any part of the application and hiring process should contact the Office of Equity at 216.368.3066 to request a reasonable accommodation. Determinations as to granting reasonable accommodations for any applicant will be made on a case-by-case basis.

Occupations

University, General-Other: Engineering

States

OH

Security Clearance

NO Security Clearance

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