Updated May 30, 2008
Below are several job listings for positions that are appropriate for graduates with PhDs in Computational Science. The listings were retrieved from Department of Energy labs, Monster.com, and the Chronicle of Higher Education on March 3rd, 2008. To get an estimate of how many jobs may be appropriate for PhDs in Computational Science, several searches on Monster.com were executed. The results were
- 451 for “PhD Computer Science”
- 280 for “PhD Statistics”
- 142 for “PhD Mathematics”
- 70 for “PhD Computational”
- 37 for “PhD Applied Mathematics”
- 27 for “PhD Computational Science”
Job 1: Computational Scientists
There were 3 positions available at Oak Ridge National Laboratory. The position was described as follows.
Summary:
The Computer Science and Mathematics Division at the Oak Ridge National Laboratory (ORNL) is the premier division for research in high performance computing, applied mathematics, and intelligent systems. Basic and applied research programs focus on computational sciences, intelligent systems, and information technologies.
Responsibilities & Qualifications:
The successful candidate will join an interdisciplinary team of computer scientists, mathematicians, and engineers in high performance numerical algorithms research and development. Current projects include the development of advanced boundary integral methods, multiscale mathematics and numerical linear algebra.
Qualified candidates with similar interests in the areas such as computational fluid dynamics, parallel numerical algorithms, dynamic interface modeling, phase field and level set methods, computational biomechanics, large-scale PDE-constrained optimization, inverse problems, uncertainty quantification, and multiscale modeling techniques are encouraged to apply.
This position requires a PhD in computational science or a related discipline with 3 5 years research experience or an equivalent combination of education and experience. Candidates must have a proven record of research accomplishments, excellent communications skills, and a strong desire to work in a team environment. Project management experience is preferred.
Applicants should have very good practical knowledge of software engineering and software development for scientific numerical software. Knowledge of programming languages such C, Fortran 90, C++, python, and MATLAB is preferred.
Job 2: Computational Mathematician
There were 3 positions available at Oak Ridge National Laboratory. The position was described as follows.
Summary:
The Computer Science and Mathematics Division at the Oak Ridge National Laboratory (ORNL) is the premier division for research in high performance computing, applied mathematics, and intelligent systems. Basic and applied research programs focus on computational sciences, intelligent systems, and information technologies.
Responsibilities & Qualifications:
Qualified candidates with similar interests in areas such as computational fluid dynamics, parallel numerical algorithms, dynamic interface modeling, phase field and level set methods, computational biomechanics, large-scale PDE-constrained optimization, inverse problems, uncertainty quantification, and multiscale modeling techniques are encouraged to apply.
This position requires a PhD in computational science, mathematics or a related discipline with 3 5 years research experience or an equivalent combination of education and experience. Candidates must have a proven record of research accomplishments, excellent communications skills, and a strong desire to work in a team environment.
Applicants should have very good practical and working knowledge of software engineering and software development for scientific numerical software on massively parallel computers. Knowledge of programming languages such C, Fortran 90, C++, Python, and MATLAB is preferred.
Job 3: Climate Computational Scientist
There was 1 position available at Oak Ridge National Laboratory.
Summary: The National Center for Computational Sciences in the Computing and Computational Sciences Directorate at the Oak Ridge National Laboratory (ORNL) seeks to hire a Computational Scientist in the area of Climate Sciences to serve as a liaison between the National Center for Computational Sciences (NCCS) and the users of the NCCS computing resources.
Responsibilities & Qualifications:
The selected candidate will work with application scientists to develop, integrate, port, and tune applications to take advantage of the capabilities of the NCCS leadership computing environment. The candidates will represent the needs of application communities for NCCS planning and decision-making.
Major Responsibilities: Work closely with the NCCS users to assist them in using the resources of the NCCS effectively and efficiently. Assist users in moving data and programs into and out of our environment, developing and porting applications and algorithms for our computers, debugging and tuning applications for high performance, and scheduling applications at scale to meet the scientific needs of the users.
Work with NCCS systems, storage and networking groups to understand the needs and schedules of the application groups. Assist in capability planning exercises. Define the requirements for, and assist in developing system software, libraries and tools that meet the users. Participate in high-performance-computing community-wide efforts to design and develop these tools. Where appropriate, write proposals and conduct research to determine the best way to approach tools and libraries as well as determining the best path forward for application development on future NCCS resources. Participate in various application-area and computer-science research proposals. Conduct the research and report results in journals, technical manuals, and conferences.
Requirements: A Ph.D. in the computational climate domain, applied mathematics, computer science, or related scientific discipline is essential. Experience with numerical methods, parallel algorithms, MPI, Fortran and parallel software development on large scale computational resources is required. Experience in the various climate areas, atmosphere, ocean, and/or weather simulation and other science domains aligned with US DOE Office of Science mission areas is a plus. Experience with C, C++, vectorization or one-sided asynchronous programming models is a plus. Excellent interpersonal skills, oral and written communications skills, organizational skills, and strong personal motivation are necessary. Ability to work in a dynamic, team environment is required. For more information about the organization, please visit: http://www.nccs.gov/
Job 4: Postdoctoral Appointee
There was 1 position listed at Argonne National Laboratory.
Job Description
Argonne National Laboratory invites outstanding candidates to apply for a postdoctoral position in the Mathematics and Computer Science Division. The successful candidate will pursue research in stochastic optimization methods, algorithms, and software for supporting advanced nuclear fuel cycle applications. The appointee will work as part of an integrated, multi-institution research team of mathematicians, computer scientists, chemical engineers, and nuclear engineers. The efforts of this team extend from fundamental optimization research to nuclear fuel cycle applications such as nuclear waste reprocessing and design of nuclear systems under uncertainty. Experience is required in computational optimization and stochastic models, parallel programming algorithms, and computational science applications. Familiarity with C/C++ in Unix/Linux environments is also essential. Some experience in interdisciplinary collaborative research is desirable. Internationally recognized for innovative research in high-performance computing, the Mathematics and Computer Science Division offers an excellent computational environment that includes several large Linux clusters, a world-renowned distributed systems laboratory, and a scientific visualization laboratory. For further information, see the MCS Web page at http://www.mcs.anl.gov. Argonne is located in the southwestern Chicago suburbs, offering the advantages of affordable housing, good schools, and easy access to the cultural attractions of the city. Interested candidates should send detailed curriculum vitae, along with a list of publications, and the names and addresses of three references through the Argonne website at http://www.anl.gov/jobs under job search for postdoctoral/job openings, for requisition number 311225 MCS. Argonne is a U.S. Department of Energy laboratory managed by UChicago Argonne, LLC. Argonne is an equal opportunity employer, and we value diversity in our workforce.
Job 5 : Senior Software Developer
There was 1 position listed at Argonne National Laboratory.
Summary
Builds computational tools and develops methods for the solution of computational science problems on parallel and distributed computers with emphasis on supporting the Laboratory`s high-performance reactor simulation efforts. Works as a member of a team under the supervision of sr. scientific or technical staff, as appropriate.
Knowledge, Skills and Experience
Comprehensive: Comprehensive knowledge in one or both of the following areas: C/C++ programming under Unix or NT, parallel computing algorithms and tools. Comprehensive knowledge in one or more of the following areas: scientific visualization, collaborative tools, distributed computing, numerical methods, and/or software development. Considerable: Considerable ability to create, maintain and support high-quality software. Considerable skill in the solution of computational science problems on parallel and distributed computers. Considerable knowledge of mesh-based solution of partial differential equations strongly preferred. Considerable knowledge and experience with a wide variety of parallel, workstation, and PC architectures and tools. Considerable experience and skills in interdisciplinary research involving mathematicians, computer scientists, and discipline scientists. Considerable skill in software engineering and code development, preferably in a parallel computing environment. Good: Good collaborative skills, including the ability to work well with other divisions, laboratories, and universities. Other: Exposure to all aspects of the simulation process is desired, including pre/post processing of simulation domains and results, and mesh partitioning for parallel solution. Ph.D. and 0-1 year experience/equivalent Master's Degree and 2-3 years of experience/equivalent Bachelor's Degree and 6-8 years experience/equivalent.
Job 6: Assistant/Associate/Full Professor
There was 1 job listing for Cornell University.
Located in Ithaca, N.Y., Cornell University is a bold, innovative, inclusive and dynamic teaching and research university where staff, faculty, and students alike are challenged to make an enduring contribution to the betterment of humanity.
Applications are invited for a tenure-track position in Computational Biology in the Computer Science department of Cornell University. Multiple positions are available, and depending on experience, positions can be at the assistant, associate, or full professor level. Applicants must possess a PhD in computer science or a PhD in a mathematical, biological or physical science with enough expertise in computer science to fit within a CS department. The department requires demonstrated research abilities at the highest level as well as outstanding teaching ability and leadership qualities.
Outstanding applicants in all areas of computational biology will be considered. We are especially interested in individuals developing novel algorithms and statistical approaches for research in areas including evolutionary, comparative, and population genetics and genomics; applications of new high-throughput sequencing and measurement technologies; the role of networks in biological systems; and analysis of dynamical behavior at the sub-cellular and cellular levels.
Job 7: Scientist – Metabolic Modeling
Amyris Biotechnologies combines break-through technology and unique insights in the transportation fuels sector to bring environmentally friendly fuels to market. Amyris is leveraging its technology platform, which was developed as part of an earlier project to reduce costs to produce artemisinin-based anti-malarial drugs, to provide a cost-competitive bio-gasoline, a bio-diesel, and a bio-jet solution that works in current engines and distribution infrastructure without compromising fuel performance. All Amyris biofuels are designed to provide consumers and end users uncompromising alternatives to petroleum-based fuels.
Responsibilities
- Work with Amyris scientists to develop metabolic models of engineered organisms
- Suggest potential targets for engineering and help scientists predict the effects of proposed metabolic engineering experiments
- Work with analytical chemists and a LIMS specialist to keep the metabolic models updated with current experimental data.
Requirements
- PhD in a Chemical or Biological Engineering or related field (e.g., Biomedical Engineering, Biochemistry, Biophysics, Computer Science)
- Past training and research in computational biology, systems biology and molecular biology
- Experience building and analyzing metabolic models, especially genome-scale models
- Flux balance analysis, metabolic control analysis, extreme pathways
- Excellent ability to communicate with molecular biologists and chemists
- Strong analytical, organizational, and multi-tasking skills
- Programming skills (e.g., Matlab, C/C++, Perl, Python, SQL)
- Energetic, highly self-motivated, and able to work efficiently and productively in a start-up company environment.
Preferred experience
- Experience in applying 13C-Tracer Metabolic Flux Analysis
- Experience with kinetic or gene regulatory modeling, thermodynamic modeling
- Background in optimization, linear algebra, graph theory, network theory
- Microbial physiology and molecular genetics wetlab experience
- Analysis of functional genomics data (transcriptome, proteome, metabolome)
- Data mining – statistical learning methods, sequence analysis, other bioinformatics tools
Job 8: Computational Scientist – Network Sciences
Company: High Performance Technologies Inc.
The Army’s vision for Computational Network Sciences is to:
- Develop virtual modeling and simulation technologies to address large-scale complex networks modeling capability for military use by exploiting scalable HPC technologies.
- Provide information on situational awareness to battlefield operations by exploiting advanced computing.
Challenges associated with Computational Network Sciences for military applications include:
- Modeling, simulating and virtual testing of large networks before deployment.
- Fusion of multiple sensor information on networks for assisting real-time decision making.
- Integration of innovative approaches for information assurance for hybrid wireless and physical networks.
- Developing scalable data models and data management techniques for changing network topologies.
Applicants must:
- Have a PhD in engineering, computer science, applied mathematics, or related fields
- Be a US citizen and meet eligibility requirements to hold a Secret level clearance.
- Have experience with high performance computing
Job 9: Senior Systems Analyst
Company: Quest Diagnostics
Job Summary
Requires experience in bioinformatics, microarray data analysis, algorithm development, statistics, machine learning, and network inference or reverse engineering methods.
Responsibilities:
- Conduct estimations using a scientific analysis
- Influence/persuade clients regarding IT tactics, solutions, and plans
- Define optimal approach to a set of business problems and provides technological solutions which improve operating results or major functional performance
- Present IT plans and strategies to management, clients and vendors
- Create design enhancements across multiple applications
- Coordinate the maintenance of multiple integrated systems
- Work with vendors to better understand how features and interfaces of outside applications can facilitate the fulfillment of customer requests
- Recognize new/evolving trends and ensures personal growth and skill maintenance as a contributor
- Obtain hands on experience with a new product or service through the entire idea, design, test market, and launch cycle.
- Complete a competitive analysis of organization's products or services or position in the marketplace, and present it to the people involved.
- Work on a crisis management team.
Job Requirements
- PhD in Physics, Applied Mathematics, Computational Biology, Operations Research, or Engineering or have similar training thereof in the computational and biological sciences and 3+ years experience in the field.
- Work with a fast moving, interdisciplinary team, have excellent communication skills and a passion for learning new science.
- Expert statistical and mathematical scripting in at least one of the following: R/S-PLUS, Matlab, Mathematica
- Experience with relational database systems
- Experience with Genome sequence analysis tools and techniques
- Experience with Microarray expression data analysis tools and techniques both proprietary products (Genespring, NimbleScan, ArrayStar, etc) and public domain applications SAM, PAM, GSA, etc…
- Experience working with public interaction/pathway databases such as HPRD, BIND, KEGG, or proprietary software such as Ingenuity, Oncomine, etc…
- Experience with Machine learning tools: Multilayer Perceptron (MLP) networks, Self organizing maps, Nearest Centroid Classifiers, Support Vector Machines (SVMs), Relational Fuzzy Clustering and Neural Networks for biomarker discovery and condition classifiers.
Job 10: Simulation Engineer
Company: Luminus Devices, Inc.
Simulation Engineer will report directly to the Technology Manager and will be responsible for simulation of novel LED chip designs.
Duties/Responsibilities:
- Calculation of new chip design performance
- Optical, thermal, and electrical simulation of LED chips, packages, and systems
- Simulation support for application and device engineering, benchmarking, reliability, and device characterization
Minimum Qualification Required: (when qualifications include education or equivalent, define equivalent)
- PhD in physics, applied physics, materials science, applied mathematics, or similar engineering discipline
- Electromagnetic analysis: time domain, frequency domain simulations
- Basic knowledge of optical properties of materials (metals, dielectrics, semiconductors)
- Basics of solid state physics
- Programming skills: Matlab, C/C++
- Computer skills: Linux/Unix
- Understanding of diffraction gratings, photonic crystals
- Knowledge of color theory (photometry, color vision, chromaticity diagram)
- Self-consistent multiphysics modeling
- Electronic properties of semiconductors
Job 11: Assistant Professor – Computational Mathematics
Institution: Old Dominion University
Mathematics: Applications are invited for a full-time faculty position at the rank of Assistant Professor (tenure-track) beginning Fall 2008 in the Department of Mathematics and Statistics at Old Dominion University. All applicants should have expertise in an area of applied and/or computational mathematics. The successful candidate will have a Ph.D. in applied or computational mathematics or a related field, an established funded research program, and excellent pedagogical and communication skills. The Department of Mathematics and Statistics is one of seven Ph.D.-granting Departments in the College of Sciences and currently has 30 full-time faculty. A Center for Computational Science, in which the department plays a prominent role, has recently been established with funding from DOE, NSF, and NASA. Excellent collaborative research and educational opportunities are available at the NASA-Langley Research Center, the Eastern Virginia Medical School (EVMS), the Virginia Modeling, Analysis and Simulation Center (VMASC), and the Thomas Jefferson National Accelerator Facility. Further information regarding the department may be obtained at http://www.math.odu.edu. Interested individuals should forward a letter of interest and a copy of their curriculum vitae, including a statement of teaching philosophy, a statement of research interests, and the names and contact information for three or more professional references to: Dr. J. Mark Dorrepaal, Applied Mathematics Search Committee, Department of Mathematics and Statistics, 2300 Engineering and Computational Sciences Building, Old Dominion University, Norfolk, Virginia 23529-0077. Review of applications will begin on March 15, 2008 and will continue until the position is filled. Old Dominion University is an equal opportunity, affirmative action institution and requires compliance with the Immigration Reform and Control Act of 1986.
Job 12: Engineering and Electrical Systems Department Position
Institution: University of Pennsylvania
Department of Electrical and Systems Engineering
The University of Pennsylvania seeks outstanding individuals for tenure-track or tenured faculty positions in the Department of Electrical and Systems Engineering to start July 1, 2008. Applicants must have a Ph.D. in Engineering, Applied Mathematics, Computer Science or equivalent. This search focuses on candidates working at the mathematical and computational foundations of Market Systems Engineering - the formalization, analysis, optimization, and realization of systems that increasingly integrate engineering, computational, and economic systems and methods. We are particularly interested in candidates with a vision and interest in defining the research frontier and education of next-generation leaders in this rapidly growing field. Applicants with strong ties to industry are strongly encouraged.
Job 13: Assistant or Associate Professor
Department of Statistics and Computer Networking
Institution: St. Cloud State University
Responsibilities:
Teaching load is 12 credits per semester of undergraduate statistics courses, or a commensurate number of credits of graduate courses when our Master's program commences. Ability to teach and/or perform effectively; scholarly achievement or research; continued preparation and study; contribution to student growth and development, and service to the university and community.
Qualifications and Experience:
A Ph.D. in statistics, biostatistics or Mathematics with strong statistics emphasis by the appointment date (August 19, 2008) is required. University level teaching experience is highly desirable. Statistical consulting experience is also desirable. A record of scholarly publications or evidence of strong potential for scholarly and professional activity are highly desired, especially in one or more of the following areas: computational data analysis (including MCMC methods or informatics), generalized linear models, survival analysis, Bayesian analysis, data mining. The successful candidate would have demonstrated
an ability to teach and to work with persons from culturally diverse backgrounds.
