Los Alamos National Laboratory, Supercomputer Institute Summer Internship Opportunity

By | News, SC2 jobs

PROGRAM OVERVIEW
The Supercomputer Institute is an intense, paid, 11-week, hands-on technical internship for people of all majors interested in the growing field of high-performance computing. You will obtain a thorough introduction to the techniques and practices of HPC; no HPS experience is required.

The program begins with two weeks of “boot camp”. Small teams of interns build, configure, test, and operate an HPC compute cluster starting from scratch, turning a head of equipment, cables, and electricity into a working mini-supercomputer that can run real HPC applications.

Next, the project phase begins. Teams of interns work under the guidance of HPC Division staff mentors on applied research and development projects that address real challenges currently faced by the division. Some projects use the mini-supercomputers built during boot camp, and others use existing LANL resources. These projects regularly influence the division as well as the field of high-performance computing.

Finally, teams present their accomplishments as a poster and technical talk to Laboratory management, staff, and fellow interns in an end-of-summer celebration of intern work.

The program runs June 1, 2021 – August 13, 2021.

View full job post here.

PROFESSIONAL DEVELOPMENT:
In addition to the technical portion of the program, interns also participate in fast-paced, focused professional development work, including:

  • Intense mentoring
  • Teamwork and professional collaboration
  • Resume writing and evaluation
  • Technical poster/presentation design and public speaking
  • Technical seminars on current HPC topics. Past seminars include high-speed networking, Linux containers,
  • parallel filesystems, facilities, and more.
  • Science lectures given by staff from across the Laboratory, from how the Mars Rover works to machine learning/ AI to black hole collisions.
  • Opportunities to sign up for tours of our world-class facilities, including the magnet lab, particle accelerator, million-core supercomputer, and ultra-cold quantum computer.

WHO IS ELIGIBLE TO APPLY:
The program is targeted to rising juniors or seniors, master’s students, and recent graduates with a bachelor’s or associate’s degree. Very highly qualified rising sophomores have been successful in the past, as well as occasional master’s graduates and Ph.D. students who can make a good case that they need hands-on practical training, rather than a research internship.

REQUIRED QUALIFICATIONS:
Interns must meet the following minimum requirements. If you are unsure whether you meet them, please ask us! We don’t want miss someone because they meet requirements in a way we did not anticipate.

  • Computer science, computer engineering, IT, or related experience/training.
  • Intermediate understanding of the Linux OS. For example, this might mean you have basic understanding of how an operating system works, some experience using Linux, and some knowledge of how Linux differs from desktop (e.g., Mac, Window) or phone OSes (Android, iOS).
  • Intermediate command line skills. You should have basic knowledge of the terminal using a shell such as tcsh or Bash. This doesn’t necessarily have to be on Linux (Macs also have a nice command line).
  • Scripting or programming experience of some kind.
  • Collegial, personable, plays well with others; the program is a team sport. Please note this does not mean you have to be “normal”; neurodiversity is encouraged.
  • Well-rounded and curious.
  • Can deal with reasonable deadlines. It’s a fast-paced program, but not high pressure.
  • Meets LANL undergraduate or graduate student program requirements, as applicable.

DESIRED QUALIFICATIONS:
In addition to the above, we’re looking for interns that also have some of the following skills. Note that few interns have all of them.

  • Strong communication skills (written and/or oral).
  • Interesting experience with Linux, hardware, networking, security, filesystems, etc.
  • HPC experience, whether sysadmin or user.
  • C or systems programming experience.
  • Interesting novel perspectives. Can you expand our horizons?

APPLICATION DEADLINE:
Deadline to apply is December 1, 2020.

HOW TO APPLY:
Apply via the instructions on this page. You’ll need to submit the following materials:

  • Current resume
  • Unofficial transcript, including GPA
  • Cover letter describing:
    • Your professional interests, experience, and goals
    • Why you are interested in the Supercomputer Institute
    • How you meet the minimum and desired skills above
    • What you hope to contribute to our team environment

ABOUT LOS ALAMOS:
Los Alamos is a small town in the mountains of northern New Mexico, located an elevation of 7,500 feet.

The town has an active intern community with various events such as free concerts. Outdoor activities are abundant, including hiking, camping, mountain biking, and rock climbing. Summers tend to be warm, and either dry or with afternoon monsoonal thunderstorms.

Stephen Timoshenko Distinguished Postdoctoral Fellowship at Stanford University

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Stanford’s Mechanics and Computation Group (Department of Mechanical Engineering) is seeking applicants for a two-year term distinguished postdoctoral fellowship.

 

ABOUT THE FELLOWSHIP:

The Stephen Timoshenko Distinguished Postdoctoral Fellow will be given the opportunity to pursue independent research in the general area of solid mechanics, as well as to contribute to ongoing research in the Mechanics and Computation Group. 

QUALIFICATIONS:

  • Research activities should be in the field of solid mechanics interpreted broadly. 
  • The candidate should be aligned with interests in the group, which include additive manufacturing, micro- and nano-mechanics, and bio-mechanics, with an interest in machine learning as it applies to the field of computational mechanics. 
  • Candidates will be given opportunities to develop their teaching experience by designing and teaching a class in the mechanics curriculum. 
  • This position is primarily targeting candidates who are seeking an academic career in a leading research university.
  • Candidates are expected to show outstanding promise in research, as well as strong interest and ability in teaching. 
  • They must have received a Ph.D. prior to the start of the appointment, but not more than 2 years before. 

APPLICATION DEADLINE: 

Fellowship applications are accepted year-round, with deadlines on October 1, December 1, April 1, and July 1. 

  • Applications received before these dates will be reviewed together. 
  • This position will close as soon as an offer is made and has been accepted by a candidate.

HOW TO APPLY:

Send your application by email to Kelly Chu, kchu22@stanford.edu

  • Email subject: Stephen Timoshenko Distinguished Postdoctoral Fellow search
  • All documents attached to the email should be PDF (Portable Document Format).

Application documents:

  • Cover letter (one page)
  • Curriculum vitae
  • List of publications
  • Brief statements of proposed research (up to three pages) and teaching (one page) 
  • Names and contact information of three recommendation letter writers

EEO STATEMENT:

Stanford is an equal opportunity employer and all qualified applicants will receive consideration without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other characteristic protected by law. Stanford welcomes applications from candidates who bring additional dimensions to the University’s research and teaching missions.

Some resources on diversity and inclusion at Stanford:

Reducing lung cancer mortality through modeling and simulations

By | Feature, Research

Lung cancer remains the leading cause of cancer related mortality in the US, and globally, accounting for 1.8 million deaths annually. Many of these deaths are preventable by the implementation of prevention strategies, including tobacco control policies and lung cancer screening recommendations, and by improvements in lung cancer treatment.  In the US, these policies have generally been implemented based on the analysis and outcomes of the population as a whole, although data analyses have shown that smoking and lung cancer rates, and access to healthcare and interventions, vary significantly by education, income, and race/ethnicity.

The Cancer Intervention and Surveillance Modeling Network (CISNET) Lung Working Group (LWG), led by Rafael Meza, associate professor of Epidemiology from the School of Public Health and MICDE member, has been awarded a new $8.5M grant to investigate the synergistic impacts of tobacco control policies, lung cancer screening and treatment interventions in the US and in middle-income nations. For the past 15 years, the CISNET LWG has contributed to the development of US national strategies for reducing the lung cancer burden by quantifying, through modeling and simulation, the impact of tobacco control on smoking, lung cancer, and overall mortality, as well as the population benefits and harms of lung cancer screening. This new grant will allow the group to expand their work to consider the impact of treatment improvements, including targeted therapies and immunotherapies,  and the synergies between treatment and prevention interventions. It also will enable the researchers to continue their work in addressing smoking and lung cancer disparities. The consortium uses a comparative modeling approach, where multiple, but distinct, models use the same data inputs, and aim to answer a common question with different approaches. This allows the group to assess the strengths and weaknesses of the different models, and aid the decision making process.

Established in 2000, CISNET is a consortium of NCI-sponsored investigators who use modeling and simulation to improve their understanding of cancer control interventions in prevention, screening, and treatment and their effects on population trends in incidence and mortality. CISNET is committed to bringing the most sophisticated evidence-based planning tools to population health and public policy. These models have been used to guide public health research and priorities, and have aided the development of optimal cancer control strategies. Besides lung cancer, CISNET also includes breast, colon, cervical esophageal and prostate cancer groups. 

We welcome 15 students to the 2020-21 class of MICDE graduate fellows

By | Educational, News

MICDE is proud to announce the recipients of the 2020 MICDE graduate fellowships. The fellows’ research projects involve the use and advancement of scientific computing techniques and practices. From political science, psychology, physics, and applied and interdisciplinary mathematics within the College of Literature, Science & the Arts to aerospace engineering, mechanical engineering, materials science engineering, industrial & operations engineering, and civil & environmental engineering within the College of Engineering, the 2020 MICDE fellows epitomize the reach of computation in diverse scientific disciplines.

For the past six years, MICDE has awarded fellowships to over 120 graduate students from our large community of computational scientists. The MICDE graduate student top-off fellowship provides students with a stipend to use for supplies, technology, and other materials that will further their education and research. Among other things, awards have helped many to travel to conferences and meetings around the world to share the rich and diverse research in computational science being carried out at U-M.

The awardees are:

Eytan Adler, Aerospace Engineering
Hessa Al-Thani,
Industrial and Operations Engineering
Zijie Chen,
Mechanical Engineering
Alexander Coppeans
, Aerospace Engineering
Xinyang Dong, Physics
Karthik Ganesan,
Psychology
Iman Javaheri, Aerospace Engineering
Huiwen Jia, Industrial and Operations Engineering
Daeho Kim, Civil and Environmental Engineering
Yudan Liu,
Chemistry
Emily Oliphant
, Materials Science and Engineering
Ryan Sandberg, Applied and Interdisciplinary Mathematics
Patrick Wu, Political Science
Zhucong Xi, Materials Science and Engineering
Yi Zhu, Civil and Environmental Engineering

Learn more about the fellows and the MICDE Fellowship program

Graduate Research Assistantships for Fall 2020 Term in Computational Multiphase/Multi-Physics Projects

By | News, SC2 jobs

Professor Jesse Capecelatro’s Computational Multiphase/Multi-Physics Flow Lab is seeking Three Graduate Students

 

Professor Jesse Capecelatro is a faculty member within the College of Engineering’s Mechanical and Aerospace Engineering departments. Prof. Capecelatro’s lab group is seeking current or recently graduated Master’s or Ph.D. students for paid Research Assistant positions starting in the Fall 2020 term. Read more about Prof. Capecelatro’s research group here.

Research Assistants will be working on one of three projects.

PROJECT #1: MODELING TURBULENT FLOWS WITH FINITE SIZE PARTICLES ON HETEROGENEOUS ARCHITECTURES

Description: The objective of this project is to develop a highly scalable direct numerical simulation (DNS) code that leverages new algorithmic advances in (a) turbulence simulation using a pseudo-spectral approach on heterogeneous architectures and (b) efficient scaling of particle dynamics with number of particles, to perform massive-scale simulations with a mixture of CPUs and GPUs. The student will work with Prof. Capecelatro at UM and collaborators at Iowa State and Georgia Tech. The majority of the code will be written in Fortran 90 and C.

This position is expected to last 1 year in duration with the possibility of extension, and work will be performed remotely. Compensation for this position will be based on experience and qualifications.

Desired Qualifications:

  • Major in Mechanical Engineering, Computer Science, or similar
  • Strong background in fluid mechanics
  • Good knowledge in turbulence
  • Excellent programming skills in a high-performance language like C, Fortran, Python
  • Familiar with parallel computing

PROJECT #2: MULTI-STEP EFFECTIVENESS FACTORS FOR NON-SPHERICAL CATALYSTS

Description: Prof. Capecelatro and his postdoc Aaron Lattanzi will provide support to the graduate student on development of new models for diffusion limited reaction schemes that will be delivered to the National Renewable Energy Laboratory (NREL). The multi-step effectiveness vector (MEV) previously derived by CO-PI Lattanzi will be expanded to account for cylindrical and infinite slab catalyst geometries. Reactant concentration profiles and volume-averaged reaction rates predicted by the new MEV will be directly compared to high-fidelity simulations conducted by NREL to verify the model.

This position is expected to last 9 months in duration with the possibility of extension, and work will be performed remotely. Compensation for this position will be based on experience and qualifications.

Desired Qualifications:

  • Major in Chemical Engineering, Mechanical Engineering, or similar
  • Excellent programming skills in a high-performance language like C, Fortran, Python
  • Strong background in fluid mechanics
  • Familiarity with chemical kinetics (CHE 344. Reaction Engineering and Design or similar class)

PROJECT #3: SENSITIVITY AND UNCERTAINTY QUANTIFICATION OF MODELING PARAMETERS FOR SIMULATING HIGH-SPEED MULTIPHASE FLOWS

Description: The student will perform a literature review on the state-of-the-art in modeling compressible particle-laden flows. Simulations will be performed of shock waves interacting with solid particles using our in-house high-speed multiphase flow solver (Fortran 90). A sensitivity analysis will be performed to quantify the effect of particle statistics on modeling parameters.

This position is expected to last 9 months in duration with the possibility of extension, and work will be performed remotely. Compensation for this position will be based on experience and qualifications.

Desired Qualifications:

  • Major in Aerospace Engineering, Mechanical Engineering, or similar
  • Excellent programming skills in a high-performance language like C, Fortran, Python
  • Familiar with uncertainty quantification, tools for sensitivity analyses
  • Strong background in fluid mechanics
  • United States citizenship

APPLY  TODAY!
Please send your CV, transcript, and a brief statement about your interests and background relative to the projects listed above to Professor Jesse Capecelatro jcaps@umich.edu with subject, “Fall 2020 Research Assistantship”.

Graduate Research Assistantships for Fall 2020 Term in Physics-based Data-driven Modeling Projects

By | News, SC2 jobs

Professor Julie Young’s Lab Seeking Two Engineering-focused Grad Students to Assist in Modeling Research

Professor Julie Young is a faculty member within the College of Engineering’s Naval Architecture and Marine Engineering, Mechanical Engineering, and Aerospace Engineering departments. Professor Young’s lab group is seeking graduate students (current or recently graduated master’s or Ph.D.’s) for paid Research Assistant positions starting in the Fall 2020 term. The expected time commitment for these positions is 20 hours per week.

Students will be working on one of two projects:

Project #1 Description: Development of a physics-based data-driven model for system identification and control of lifting surfaces in multiphase flow.

Project #1 Desired Qualifications:

  • Excellent programming skills
  • Good knowledge of system identification
  • Familiarity with data-driven models, control methods
  • Familiarity with experimental modeling and data analysis
  • Good knowledge of nonlinear fluid and structural dynamics
  • Engineering major or extensive coursework in engineering-related field
  • United States citizenship

Project #2 Description: Development of physics-based data-driven model for marine ship-propulsion system.

Project #2 Desired Qualifications:

  • Excellent programming skills
  • Good knowledge of system identification and data-driven models
  • Familiarity with experimental modeling and data analysis
  • Good knowledge of propulsion systems
  • Engineering major or extensive coursework in engineering-related field
  • United States citizenship

Compensation:
Compensation for these positions will be commensurate with experience and qualifications.

Apply Today!
Please send your CV, transcript, and a brief statement about your interests and background relative to the projects listed above to Professor Julie Young at ylyoung@umich.edu with subject, “Fall 2020 Research Assistantship”.

Alternatives Research & Development Foundation to Support Research on COVID-19, Aiming for Advancement in Non-animal Methods of Drug Discovery

By | News, Research

Pharmaceutical companies across the globe are racing to introduce clinically tested and approved therapeutic drugs that fight COVID-19 virus to market. As is typical in drug discovery research, animals have played a critical role in the development and testing of COVID-19 therapeutics. A proposal by U-M Professor Rudy J. Richardson, Dow Professor Emeritus of Toxicology, Professor Emeritus of Environmental Health Sciences, and Associate Professor Emeritus of Neurology at the University of Michigan, titled “Discovering host factor inhibitors in silico for SARS-CoV-2 entry and replication” has been awarded funding to identify compounds that bind to human proteins that facilitate entry and/or replication of the SARS-CoV-2 virus. Awarded, in part, because of its potential to develop alternative methods to advance science and replace or reduce animal use, this research will employ in silico ligand protein docking to discover existing drugs (repurposing) and/or new drug candidates capable of inhibiting host proteins involved in infection pathways for the COVID-19 virus, SARS-CoV-2.

Protein docking targets include four serine hydrolases. Using these targets, researchers will reversibly dock approximately 40,000 ligands from the Binding Database comprising FDA-approved drugs along with serine protease and PLA2 inhibitors, including organoboron compounds. Then, covalent docking will be conducted on a ligand subset containing pharmacophores capable of covalently binding serine hydrolases. Consensus ranking from four docking programs will be used to generate a penultimate list of candidate compounds. Those showing high predicted potency against off-target serine hydrolases will be excluded. The final list of compounds will be made publicly available for further evaluation in bioassays.

Professor Richardson’s grant, awarded by the Alternatives Research & Development Foundation, is a part of the ARDF’s 2020 Open Grants program, funding research projects that develop alternate methods to advance science and replace or reduce animal use. Although the immediate goal of this computational study supports the identification or development of a COVID-19 vaccine, the long-range vision is to advance computational and in vitro approaches to eliminate animal use from drug discovery for humans and other species. 

MICDE Affiliated Faculty member Rudy J. Richardson is a Dow Professor Emeritus of Toxicology and Professor Emeritus of Environmental Health Sciences within the School of Public Health, and Associate Professor Emeritus of Neurology within the Medical School at the University of Michigan.

Computational Biologist Postdoc-level Opening in Microbial Genomics

By | News, SC2 jobs

Air Force Research Labs Seeking Postdoc-level Computational Biologist for Microbial Genomics Position

 The Air Force Research Laboratory near Dayton, OH is seeking a Computational Biologist with experience in microbial genomics. The successful candidate will have the opportunity to work across multiple collaborative projects in the areas of microbial biofouling and corrosion, polymicrobial interactions of DoD relevant microbial communities, and mechanisms of polymer biodegradation. The selected candidate will use informatics to assemble, annotate, and perform comparative analyses of both bacteria and fungi to aid in generation of testable hypotheses. This role requires effective teamwork and communication of results with colleagues from diverse backgrounds.

Functions for this Role will also Include:

  • Transcriptomics of bacteria and fungi communities including differential expression analyses and identifying upregulated proteins
  • Analysis and interpretation of microbial community data using network analyses and visualization tools
  • Informatics on enriched and complex microbial communities generated from metagenomics and metatranscriptomics including assembly, binning, annotation, enzyme mining, and phylogenetic analyses
  • Documentation and presentation of research progress in the forms of reports, publications, and oral presentations
  • Travel to scientific reviews and conferences

Required Qualifications:

  • Ph.D. (or M.Sc. with 5+ years of relevant experience) in Computational Biology, Bioinformatics, or Microbial Genomics
  • Demonstrated success in applying open source software and in developing novel algorithms for the comparative analysis of genomes
  • Deep understanding of phylogenetic analyses and comparative genomics methods
  • Fluent in major scripting languages such as Python or Perl, and proficient in using the command line in Unix environments
  • Previous experience in comparative genomics or an understanding of secondary metabolite biosynthesis is highly desirable
  • Experience in applying machine learning algorithms or statistical methods to solving biological problems is desirable
  • Demonstrated understanding of relevant public genomic databases
  • Ability to work effectively in a multidisciplinary team, and communicate results clearly to non-computational scientists
  • Excellent organizational skills
  • This position is working on-site at a government facility and requires U.S. citizenship

Apply Today!

Apply via this link: https://ues.hrmdirect.com/employment/job-opening.php?req=1328012&&cust_sort1=-1&&nohd#job

If you have any questions, please email eric.harper.4@us.af.mil and vanessa.varaljay.1@us.af.mil.

Computational Biologist Postdoc-level Opening in Bioinformatics

By | News, SC2 jobs

Air Force Research Labs Seeking Postdoc-level Computational Biologist for Bioinformatics Position

The Air Force Research Labs at the Wright-Patterson Air Force Base is seeking a Computational Biologist with experience in bioinformatics and machine learning. The Computational Biologist will have the opportunity to work on novel microbial degradation of perfluoroalkyl (PFAS) compounds using genomics, enzyme mining, and AI/ML. The successful candidate will use bioinformatics and AI/ML to identify biological PFAS degradation pathways and enzymes to aid in the generation of testable hypotheses for wet-lab experiments. This role requires effective teamwork and communication of results with colleagues from diverse backgrounds. 

Functions for this Role will also Include:

  • Bioinformatics on enriched and complex microbial communities generated from metagenomics including assembly, binning, annotation, enzyme mining, and phylogenetic analyses
  • Applying AI/ML for identifying optimized biological modes of PFAS degradation
  • Documentation and presentation of research progress in the forms of reports, publications, and oral presentations
  • Periodic travel to scientific reviews and conferences

Required Qualifications:

  • Ph.D. (or M.Sc. with 5+ years of relevant experience) in Computational Biology, Bioinformatics, or Microbial Genomics
  • Fluent in major scripting languages such as Python or Perl, and proficient in using the command line in Unix environments
  • Experience in applying machine learning algorithms or statistical methods to solving biological problems
  • Deep understanding of phylogenetic analyses and comparative genomics methods
  • Demonstrated understanding of relevant public metagenomic databases
  • Ability to work effectively in a multidisciplinary team, and communicate results clearly to non-computational scientists
  • Excellent organizational skills
  • This position is working on-site at a government facility and requires U.S. citizenship

Apply Today!

Apply via this link: https://ues.hrmdirect.com/employment/job-opening.php?req=1328011&&cust_sort1=-1&&nohd#job

If you have any questions, please email eric.harper.4@us.af.mil and vanessa.varaljay.1@us.af.mil.

1-3 Year Postdoc Opportunities with the Center for Exascale Monte Carlo Neutron Transport

By | News, SC2 jobs

Positions in Computational Science Research, Code Development, and Student Mentoring Support at Oregon State University and the University of Notre Dame

The Center for Exascale Monte Carlo Neutron Transport (CEMeNT) is recruiting for two postdoctoral scholars to provide computational science research, code development, and student mentoring support. These positions are full-time, 12-month Postdoctoral Scholar positions: one located in Corvallis, Oregon, working within the School of Nuclear Science and Engineering at Oregon State University, and one located in South Bend, Indiana, working within the Department of Aerospace and Mechanical Engineering at the University of Notre Dame. Funding for these positions is expected to exist for three years; however, contracts are annual and are eligible for extension based on satisfactory performance and mutual agreement.

CEMeNT is a competitively designated National Nuclear Security Administration funded Focused Investigatory Center as part of the Predictive Science Academic Alliance Program (PSAAP – https://share-ng.sandia.gov/psaapIII/). Within CEMeNT, researchers from Oregon State University, the University of Notre Dame, and North Carolina State University work to develop the mathematics, computational physics, and computer science required to scale time-dependent Monte Carlo neutron transport simulations to exascale-class computers. Our work has high visibility in the US National Laboratories and the computational science community.

The universities participating in CEMeNT commit to inclusive excellence by advancing equity and diversity in all that we do. We are Affirmative Action/Equal Opportunity employers, and particularly encourage applications from members of historically underrepresented racial/ethnic groups, women, individuals with disabilities, veterans, LGBTQ community members, and others who demonstrate the ability to help us achieve our shared vision of a diverse and inclusive community.

Responsibilities:

  • Collaborate with the CEMeNT Leadership and CEMeNT-affiliated faculty to conduct cutting edge research in computational and develop software for solving neutron transport problems on world-leading architectures.
  • Advance the state-of-the-art in Monte Carlo particle transport, hybrid methods, uncertainty quantification, and/or machine-learning enhanced physics simulation.
  • Work alongside colleagues at US National Laboratories to further the impact of the research and development at CEMeNT.
  • Mentor and direct the research work of graduate students.

Required Qualifications:

  • Ph.D. in nuclear engineering, mechanical engineering, computational physics, applied mathematics or scientific computing disciplines.
  • Proven track-record of independent research, critical thinking, and successful academic publications.
  • Excellent written and verbal communication skills.
  • Experience in developing software for high performance computing
  • applications using Python and C++.
  • A demonstrable commitment to promoting and enhancing diversity.

Preferred Qualifications:

  • Ph.D. in nuclear engineering, mechanical engineering, computational physics, applied mathematics or scientific computing disciplines.
  • Proven track-record of independent research, critical thinking, and successful academic publications.
  • Excellent written and verbal communication skills.
  • Experience in developing software for high performance computing
  • applications using Python and C++.
  • A demonstrable commitment to promoting and enhancing diversity.

Position available: August 14, 2020 (open until filled) U.S. citizens and residents will be prioritized.

Stipend and benefits conform with postdoctoral scholar standards at Oregon State University and Notre Dame University. More information about postdoctoral scholar appointments can be found at the Office of Postdoctoral Scholars at ​Oregon State University​ and the ​University of Notre Dame​.

Apply Today!

For full consideration, apply by August 7, 2020. Applicants must send the following documents in a single PDF file (Word documents will not be opened) to ​both contacts​ listed below:

  • A detailed CV and academic transcript
  • A one-page statement describing your background and how you fit the
  • advertised position. Please specifically reference the required and preferred qualifications.
  • Contact information for three references
  • The subject line of your email should contain the following text: “CEMeNT Post-doctoral Scholar – (your last name).” Please note that only candidates that meet the required skills and expertise will be contacted.

Contacts

Dr. Todd Palmer, CEMeNT Director (todd.palmer@oregonstate.edu); School of Nuclear Science and Engineering Oregon State University

Dr. Ryan McClarren, CEMeNT Deputy Director (rmcclarr@ndu.edu); Department of Aerospace and Mechanical Engineering University of Notre Dame