Title:Post Doctoral Associate
Functional Title:Post Doctoral Associate
Category Status:15-Fac.Non-Tenured,Continuing Con
Applicant Search Category:Faculty
Founded in 1856, University of Maryland, College Park is the state’s flagship institution. Our 1,250-acre College Park campus is just minutes away from Washington, D.C., and the nexus of the nation’s legislative, executive, and judicial centers of power. This unique proximity to business and technology leaders, federal departments and agencies, and a myriad of research entities, embassies, think tanks, cultural centers, and non-profit organizations is simply unparalleled. Synergistic opportunities for our faculty and students abound and are virtually limitless in the nation’s capital and surrounding areas. The University is committed to attracting and retaining outstanding and diverse faculty and staff that will enhance our stature of preeminence in our three missions of teaching, scholarship, and full engagement in our community, the state of Maryland, and in the world.
The A. James Clark School of Engineering at the University of Maryland serves as the catalyst for high-quality research, innovation, and learning, delivering on a promise that all graduates will leave ready to impact the Grand Challenges (e.g., energy, environment, security, and human health) of the 21st century. The Clark School is dedicated to leading and transforming the engineering discipline and profession, to accelerating entrepreneurship, and to transforming research and learning activities into new innovations that benefit millions.
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Position Summary/Purpose of Position:
An opening for a Post-Doctoral Associate within the Department of Mechanical Engineering is available and will be guided by Dr. Mark Fuge in the Informatics for Design, Engineering, and Learning (IDEAL) Lab. This position is intended for recently graduated PhD-level scientists looking to grow their skillsets in pursuit of academic research. The IDEAL Lab conducts both basic and applied research at the intersection of Machine Learning and Applied Mathematics with Engineering and Design. This position would support a variety of existing and planned programs in that area and would give the researcher access to a broad base of collaborators and opportunities from which to launch and build his or her own research enterprise. Candidates will work on existing projects while also collaborating with the PI to propose new directions and pursue support for those directions. Current projects range across application areas including Energy, Aerospace, Medical Devices, Material Science, and National Security providing you with opportunities to grow your research in multiple directions.
Some specific duties include:
● Working with multidisciplinary teams of researchers (e.g., engineers, computer scientists, mathematicians, and domain specialists) to design and carry out research, primarily at the intersection of Machine Learning and Engineering or Design.
● Producing high-impact research in support of publications or proposals.
● Reviewing and synthesizing existing literature to inform new proposal directions or whitepapers for federal agencies.
● Working with graduate and undergraduate assistants in various computational or statistical methods.
● Directing and conducting data collection and analysis efforts.
● Preparing presentations, reports, funding proposals, and scholarly publications related to research.
● Ph.D. awarded in Engineering, Computer Science, Statistics, Applied Mathematics, or related fields.
● Demonstrated ability to write research articles for top-tier archival publications.
● Fluency in at least one modern Machine Learning framework (PyTorch, Tensorflow, JAX, etc.).
● Experience with running multi-physics simulation packages (FEniCS, ANSYS, OpenFOAM, etc.).
● Fluent and operational knowledge of the Python Programming language.
● Excellent communication skills, both oral/presentations and written.
● Experience working in a team as well as independently.
● Past Experience using any of the following more advanced statistical techniques: Probabilistic Programming, Gaussian Processes, Advanced Deep Learning methods, or Variational Bayesian methods.
● In addition to Python, familiarity with the Julia and C++ programming languages.
● Past experience running codes on High-Performance Computing Clusters.
● Interest and/or experience in mentoring underrepresented minorities, women, and other marginalized groups to increase diversity and inclusion in engineering.
Interested applicants should submit: (1) a cover letter, (2) a CV, (3) a 2-page research statement indicating specific research they would propose in the short term, in the context of their longer-term career vision, and (4) names and contact information for three references.
This postdoctoral position is a 12-month, full-time position to one year, which may be renewed for additional years if warranted by ongoing lab needs, continuing availability of funds, and satisfactory job performance.
Open Until FilledYes
Best Consideration Date07/16/2021
The University of Maryland, College Park, an equal opportunity/affirmative action employer, complies with all applicable federal and state laws and regulations regarding nondiscrimination and affirmative action; all qualified applicants will receive consideration for employment. The University is committed to a policy of equal opportunity for all persons and does not discriminate on the basis of race, color, religion, sex, national origin, physical or mental disability, protected veteran status, age, gender identity or expression, sexual orientation, creed, marital status, political affiliation, personal appearance, or on the basis of rights secured by the First Amendment, in all aspects of employment, educational programs and activities, and admissions.