Postdoctoral Scholar

Penn State University

Campus/Location:
University Park Campus
Campus City:
University Park, PA
Date Announced:
08/15/2019
Date Closing:
10/10/2019
Job Number:
90085
Work Unit:
College of Engineering
Department:
Civil and Environmental Engineering

Description

Multi-scale Hydrology Processes and Intelligence group (MHPI), Department of Civil and Environmental Engineering is seeking one postdoctoral research associate in hydrologic machine learning. The position will be based in PSU and will focus on utilizing machine learning to solve hydrologic and hydrology-related problems. The postdoc will identify one main project from two possible ones and will be involved in a minor way in the other. The first is the Google AI Impact Challenge project (https://sites.google.com/view/deepldb) where we create a landslide database and improve our predictive capability of the hazard. The second is a multi-disciplinary project where we work with a group of collaborators across a wide range of disciplinary boundaries to understand the connections across domains. The selected candidates will interact with large groups of researchers, will be using state-of-the-art machine learning techniques and will learn new methodologies in solving complex issues. The postdoc position may start as soon as October this year or early next year. Strong, documented coding skill is a must for the position, while it is not limited to a particular programming language. Background in machine learning or deep learning is a plus but not required. Due to the interdisciplinary nature of the project, the scholars will have plenty of opportunities to interact with a group of researchers from 9 institutions. The appointment will start preferably in Fall 2019 and no longer than February 2020. Applications will be reviewed immediately and are accepted until position is filled.

These salary bands have been established to provide salary guidelines for staff positions.

Salary Band Minimum Midpoint Maximum
A $16,584 $24,456 $32,328
B $18,240 $26,904 $35,556
C $19,728 $29,592 $39,456
D $21,708 $32,568 $43,416
E $24,312 $36,468 $48,612
F $27,228 $40,848 $54,456
G $30,012 $45,744 $61,500
H $34,188 $52,140 $70,080
I $38,988 $59,424 $79,908
J $43,716 $67,740 $91,812
K $50,712 $78,600 $106,488
L $58,836 $91,176 $123,528
M $68,232 $105,756 $143,292
N $80,508 $124,788 $169,068
O $93,492 $147,252 $201,024
P $110,340 $173,760 $237,192
Q $126,396 $199,056 $271,728
R $151,668 $238,872 $326,088