[Job-offers-cs] Postdoc in quantum approaches to discrete optimization (Sandia Labs, USA)

[Pekka Orponen]

-------- Forwarded Message --------
Subject: [DMANET] Postdoc in quantum approaches to discrete optimization 
(Sandia Labs, USA)
Date: Fri, 20 Nov 2020 15:52:54 +0000
From: Parekh, Ojas D via dmanet <dmanet at zpr.uni-koeln.de>
Reply-To: Parekh, Ojas D <odparek at sandia.gov>
To: dmanet at zpr.uni-koeln.de <dmanet at zpr.uni-koeln.de>

Our team is seeking a highly motivated Postdoctoral Appointee that is 
passionate about quantum computing. Are you driven by the prospect of 
better understanding the power and limitations of quantum computing and 
crafting novel approaches for realizing quantum advantages? If you are 
seeking an opportunity to work under the mentorship of and in 
collaboration with accomplished specialists in quantum information 
science, check us out!


On any given day, you may be called on to:

-Design quantum or quantum-inspired classical (approximation) algorithms 
for discrete optimization, machine learning, simulation, and other 
application areas

-Perform detailed analysis on the performance of quantum and classical 
algorithms, with the goal of identifying quantum advantages

-Contribute in a stimulating interdisciplinary environment with computer 
scientists, physicists, and mathematicians to develop theoretical and 
practical approaches for addressing real-world problems

-Publish results in relevant journals and present at conferences


Qualifications We Require

-PhD in physics, computer science, mathematics, electrical engineering 
or related field and possess a bachelor's in science, technology, 
engineering or mathematics (STEM).

-Experience with quantum information science or theoretical computer 
science. We encourage theoretical computer scientists interested in 
quantum information science but without formal expertise in such to apply.

-Good interpersonal skills as evidenced by a history of publication of 
results in peer-reviewed journals and external presentations at 
appropriate scientific conferences

-Able to acquire and maintain a DOE security clearance


Qualifications We Desire

-Some exposure to quantum algorithm design, quantum optimization, 
quantum complexity theory, or broader quantum information theory

-Experience with programming language such as C/C++ or Python

-Desire to work in a collaborative environment and interested in 
interdisciplinary research

-Experience making and delivering effective technical presentations


About Our Team

Sandia’s Quantum Algorithms for Optimization and Learning and Simulation 
(QOALAS) and Fundamental Algorithms for Quantum Computing (FAR-QC) are 
DOE-funded efforts to develop new quantum algorithms for optimization, 
machine learning, and quantum simulation. These projects bring together 
a diverse team of quantum information and computer science specialists 
from Argonne Lab, Berkeley Lab, Caltech, Dartmouth, Los Alamos Lab, 
Microsoft, Oak Ridge Lab, University of Maryland, and University of 
Southern California. More information is available at 
https://www.sandia.gov/far-qc.

More broadly, the Discrete Math and Optimization Department conducts 
state-of-the-art research and develops mathematics and computing in 
support of Sandia missions. Principal areas of focus include graph 
algorithms, parallel computing, combinatorial optimization, integer 
programming, and quantum and neuromorphic algorithms. Our team delivers 
creative enabling technologies and software tools. The department works 
on a wide variety of application areas including energy systems, 
scientific computing, systems software, logistics, and quantum algorithms.

All qualified applicants will receive consideration for employment 
without regard to race, color, religion, sex, sexual orientation, gender 
identity, national origin, disability, or veteran status


Apply at http://sandia.gov/careers, job #673907, by December 2nd, 2020.

—
Ojas Parekh
Center for Computing Research
Sandia National Laboratories