[Job-offers-cs] Machine Learning for Biofuels Postdoc at Berkeley Lab

[Pekka Orponen]

-------- Forwarded Message --------
Subject: 	[SIAM-OPT] Machine Learning for Biofuels Postdoc at Berkeley Lab
Date: 	Fri, 22 Jan 2021 06:54:32 -0800
From: 	Juliane Mueller <julianemueller at lbl.gov>
To: 	Pekka Orponen <pekka.orponen at aalto.fi>
CC: 	Optimization SIAG mailing list <siam-opt at siam.org>


The Berkeley Lab’s Climate and Ecosystem Sciences Division (CESD) 
welcomes applicants for a machine learning Postdoctoral Fellow position 
to study carbon intensity and accounting during biofuel feedstock 
production.

In this role, the successful candidate will be responsible for 
coordinating and integrating large temporal and spatial datasets 
collected by a diverse set of field teams working on multiple biofuel 
species, e.g. maize, sorghum, rice, across multiple climatic zones in 
the United States. The primary duty of the Postdoc Fellow is focused on 
big and diverse data analysis, integration and scaling using machine 
learning techniques, and implementing predictive ML based models for 
carbon intensity quantification during biofuel feedstock production. The 
successful candidate will work with a diverse group of field teams and 
across >10 sites under the SMARTFARM program of ARPA-E (Advanced 
Research Project Agency - Energy).

The position offers an excellent opportunity to work with an 
interdisciplinary team across multiple labs and universities under the 
SMARTFARM program. LBNL is a renowned center of scientific expertise in 
many facets of fundamental and applied sciences related to the 
environment and water resources.

To apply, please go to 
https://lbl.referrals.selectminds.com/jobs/smartfarm-postdoctoral-scholar-3264 
<https://lbl.referrals.selectminds.com/jobs/smartfarm-postdoctoral-scholar-3264>. 
The posting shall remain open until the position is filled, however for 
full consideration, please apply by close of business on February 28, 2021

-- 
Juliane