美国卡耐基梅隆大学化学工程博士后

　　美国卡耐基梅隆大学化学工程博士后

　　Postdoctoral Fellow - Zachary Ulissi Research Lab, Chemical Engineering-2014692

　　Description

　　:

　　The Department of Chemical Engineering (CHEG) at Carnegie Mellon awarded its first diplomas in 1908. Since then, the department has grown substantially in both stature and reputation, and now offers a bachelor of science degree, a master’s degree in Chemical Engineering, a Master of Colloids, Polymers, and Surfaces degree, and a doctor of philosophy.

　　We are seeking a Postdoctoral Fellow for the Ulissi research lab. Research expertise in computational chemistry or catalysis (DFT) and expertise in python and HPC environments is required in this role.

　　Example projects include:

　　  Combined catalyst mechanism studies and machine learning methods to search for ideal materials

　　  Development of machine learning methods in catalysis (graph convolution methods, deep reinforcement learning)

　　  Application of machine learning to the discovery of electrochemical or thermal catalyst surfaces

　　  Electronic structure and modeling of complex materials (oxides, disordered, surfaces, etc)

　　Candidates will also be expected to:

　　  Present at national conferences and build collaborations/networking

　　  Supervise and mentor PhD and MS students

　　The position is funded for one year with a potential for a second year renewal and is inclusive of competitive salary and benefits. The starting date is flexible, but March 2020 is desired. Applications will be considered until the position is filled. Please upload your detailed CV (including the contact information for two references), a one-page research statement discussing how your background fits the requirements and topics, and a statement highlighting how you would like to contribute to the diversity of the research. Questions prior to application can also be sent to Dr. Zachary Ulissi.

　　Qualifications:

　　  PhD in Chemical Engineering, or related field

　　  Machine learning background (courses, familiarity with common packages such as tensorflow/pytorch/etc) would help but is not required

　　  A strong research record, documented by recent publications in top-tier conferences and journals

　　  Strong verbal/written communication skills

　　  Highly motivated and creative, proven ability to work in a team oriented research environment

　　Requirements :

　　  Background check

　　More Information:

　　Please visit “Why Carnegie Mellon” to learn more about becoming part of an institution inspiring innovations that change the world.

　　A listing of our employee benefits is available at: www. cmu.edu/jobs/benefits- at-a-glance/.

　　Carnegie Mellon University is an Equal Opportunity Employer/Disability/Veteran..

　　Job Function

　　: Research

　　Primary Location

　　: United States-Pennsylvania-Pittsburgh

　　Time Type: Full Time

　　Minimum Education Level: Doctorate