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Data Science Initiative

Assistant/Associate/Full Professor in Computing Science (Fundamental and Applied AI)

Tampere University has several professor positions open related to AI and its applications, covering various areas of signal processing. The positions include a quite substantial starting package, covering funding for multiple research group members. Strong researchers are encouraged to apply! The deadline for applications is 9 March 2025. For more information about the positions, please visit this page.

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Postdoctoral Fellow in Information Theory/Machine Learning

Do you want to dive into the exciting field of distributed machine learning with a special focus on privacy/security? This research topic is going to shake up how we understand and apply machine learning, with the aim of creating safer and more private solutions in an increasingly digitized world. Successful applicants will have the opportunity to explore and contribute to groundbreaking research questions. While specific research questions will be discussed with the successful applicant, they may include themes such as federated learning, fully decentralized learning, straggler mitigation, graph neural networks, and differential privacy. This is not just an opportunity to develop and shape your own research project, but also to help shape the future of machine learning and privacy. 

Simula UiB currently has 12 early career researchers working on a range of research problems in cryptography and information theory. We can offer a vibrant, stimulating, and inclusive working environment to successful candidates. The position is for two years, with a possible extension of one year. 

Simula UiB offers:

  • Excellent opportunities for conducting high-quality research, as part of a highly competent and motivated team of researchers.
  • An informal, inclusive and international working environment.
  • Support for travel and opportunities to build international networks.
  • Modern office facilities located at Marineholmen in the city centre of Bergen.
  • A competitive salary; starting salary from NOK 575 400.
  • Numerous employee benefits, including access to a company cabin, sponsored social events, an equipment budget, and a comprehensive travel/health insurance policy.
  • Relocation assistance, including complimentary Norwegian language courses.
  • Healthy wellness and work-life balance arrangements.

For full consideration, please submit applications no later than December 31, 2024, using the following site: https://www.simula.no/careers/job-openings/postdoctoral-fellow-in-information-theorymachine-learning

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Postdoctoral researcher

Applications are invited for postdoctoral researcher positions in the general area of optimization and learning of network systems. Competitive financial supports will be provided.

Candidates with a clear interest in the general area of network systems are encouraged to apply.

Specific areas of research include:

  • multi-agent optimization and learning
  • game theory
  • cooperative control

Clemson University is ranked 23rd among national public universities by U.S. News & World Report. It is described by students and faculty as an inclusive, student-centered community characterized by high academic standards, a culture of collaboration, school spirit, and a competitive drive to excel. Clemson is located on Lake Hartwell in the foothills of the Blue Ridge Mountains, an area of outstanding natural beauty and temperate climate. It is 30 miles from Greenville, SC, a vibrant and growing city which provides many opportunities for entertainment, culture, and fine dining.

Strong mathematical and analytic skills are desired. Candidates with a demonstrated track record in one or more of the previous area(s) will be preferred. Interested students should send a short resume, along with representative relevant publications, to yongqiw@clemson.edu

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Mendenhall Postdoctoral Fellowship

Mendenhall Postdoctoral Fellowship Opportunity 21-20: Rapid, robust characterization of earthquake uncertainties to unlock advanced monitoring, forecasting, and research

Earthquake monitoring forms the foundation of earthquake forecasting and research.  Although overall earthquake monitoring capabilities have become increasingly sophisticated in the past decades, methods of uncertainty quantification, key to earthquake forecasting and other applications, have remained primitive.  Currently, uncertainties in fundamental earthquake source parameters, such as location and magnitude, are not standardized and are usually derived only from misfit within a particular assumed model (also known as “model errors”) or from ad hoc, outdated approximations. Characterizations like these ignore significant sources of uncertainty and bias (such as from discrepancies between different magnitude types or errors in the velocity model) and often dramatically underestimate the total uncertainty.  Current shortcomings in uncertainty quantification significantly impair impactful products that build upon earthquake monitoring and the associated catalogs, and perhaps less obviously, earthquake monitoring itself. 

We seek applicants with strong quantitative skills.  Experience in seismology and/or statistics highly beneficial.

Full project details and contact information: https://www.usgs.gov/centers/mendenhall-research-fellowship-program/21-20-rapid-robust-quantification-earthquake   Proposed Duty Station:  Golden, Colorado or Moffett Field, California Research Advisors:  David Shelly, Andrea Llenos, William Yeck, Morgan Moschetti, Paul Earle, Sarah Minson, and Jeanne Hardebeck   Application deadline is November 1, 2022.  Potential applicants are strongly encouraged to contact the Research Advisors early and to work with them to develop a suitable proposal.   Please see https://www.usgs.gov/centers/mendenhall for more information on the Mendenhall program and how to apply.  

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Assistant Professor or untenured Associate Professor, Stanford Data Science and The School of Engineering

Stanford Data Science and School of Engineering Joint Search

Stanford Data Science (https://datascience.stanford.edu/) and the School of Engineering (https://engineering.stanford.edu/) at Stanford University invite applications for a tenure-track appointment at the assistant professor or untenured associate professor level in the School of Engineering. The primary departmental home of the appointee will be in one of the departments in the School of Engineering (https://engineering.stanford.edu/faculty-research/departments).

The successful candidate will be expected to contribute creatively and in depth to data science through research, teaching, and student mentorship. We welcome candidates engaged in all aspects of data science and its applications in one or more engineering disciplines. Ideal candidates will demonstrate strong communication and leadership skills, and will be able to actively contribute to Stanford Data Science and their home department(s).

Stanford Data Science, the School of Engineering and Stanford University value faculty who are committed to advancing diversity, equity, and inclusion. Candidates may optionally include a diversity statement including a brief discussion of how their research, teaching and mentorship will further these ideals.

The Stanford community also values transparency and openness in science and encourages candidates to provide in their research statement a description of how these values are reflected in their work to date and their future research plans.

Applicants should submit a cover letter, CV, 3-page statement of research and teaching, including accomplishments and plans, 1 page diversity statement (recommended), 2 representative publications, and names of 5 references. 

Candidates should apply online at https://facultypositions.stanford.edu/en-us/listing/. Applications will be accepted through December 5, 2022.

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

If you have questions regarding this opening or require assistance with the online application system, please contact the Faculty Search Administrator at SDSSoEfacultysearch@stanford.edu.

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NIH Program Officer

Health Scientist Program Officer

The National Institute on Deafness and Other Communication Disorders (NIDCD) is recruiting a Program Director/Health Science Administrator (HSA) (GS-12/13/14) with expertise and research experience in data science and cloud computing efforts leveraging "big data" for biomedical research. Salary is commensurate with individual qualifications and professional experience. A full benefits package is available, including retirement, health insurance, life insurance, long-term care insurance, annual and sick leave, and Thrift Savings Plan (401K equivalent). We anticipate that the vacancy announcement for an HSA Program Officer will be posted later this summer at   http://jobs.nih.gov/globalrecruitment.

The successful candidate will:

Advise NIDCD-supported investigators across all research portfolios on implementing best practices from biomedical data science for data collection, storage, analysis, use, and sharing to ensure widespread access and accelerate the discovery of insights that will improve the lives of people with communication disorders. Promoting the use of existing data repositories in the cloud whenever possible.

Manage a research portfolio of data science grant awards conducted across the United States and internationally as well as identify scientific gaps and opportunities in the NIDCD's mission areas. This will require organizing workshops to engage stakeholders, promotion of cloud-based data sharing practices, and identifying future research opportunities.

Assist NIDCD staff in maintaining compliance with NIH data management and sharing policies. This will include participating in data science collaborations across NIH, outreach efforts to academic institutions, developing common data elements (CDEs), serving as a data science spokesperson, supporting internal activities to advance data science capabilities, and reviewing data sharing requirements.

Preferred Skills and Qualifications

  • Expertise in cloud computing platforms, data repositories, machine learning, and other activities requiring significant data science knowledge.
  • A doctoral degree in engineering or bioinformatics and experience with cloud-based computing for biomedical research.
  • Expertise with the NIDCD's research areas is not required, and individuals at early- to mid-career stages are strongly encouraged to apply.

The NIDCD is deeply committed to diversity of thought, equity, and inclusion, and encourages applications from qualified women, under-represented minorities, and individuals with disabilities. HHS, NIH, and NIDCD are equal opportunity employers.

Please contact Roger L. Miller, Ph.D., program director of neural prosthesis development and program coordinator of SBIR/STTG grant programs, with questions or interest and check this website for updates: 

Health Scientist Administrator (HSA Program Officer, Data Science) | NIDCD (nih.gov)

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Health Scientist Administrator Program Officer - Data Science

The National Institute on Deafness and Other Communication Disorders (NIDCD) will soon accept applications for a professional track Health Scientist Administrator (HSA) Program Officer with expertise and research experience in data science and cloud computing efforts leveraging “big data” for biomedical research. We anticipate that the vacancy announcement for an HSA Program Officer will be posted on 1/18/22 at http://jobs.nih.gov/globalrecruitment and close on 1/27/22. Salary is commensurate with individual qualifications and professional experience. A full benefits package is available, including retirement, health insurance, life insurance, long-term care insurance, annual and sick leave, and Thrift Savings Plan (401K equivalent). 

The successful applicant will oversee and enhance an extramural research portfolio related to data science, natural language processing, and machine learning. This will include encouraging NIDCD-supported investigators to integrate data collection, storage, analysis, use, and sharing according to FAIR practices. Desired qualifications for candidates include expertise in cloud computing platforms, data repositories, machine learning, and other activities involving significant data science experience. A doctoral degree in engineering, bioinformatics, or other fields with a focus on leveraging cloud-based computing for biomedical research is preferred; individuals at early to mid-career stages are strongly encouraged to apply.

The NIDCD is deeply committed to diversity of thought, equity, and inclusion and encourages applications from qualified women, under-represented minorities, and individuals with disabilities. All qualified applicants will receive consideration without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.

Please contact Roger Miller, Ph.D., with questions or interest.

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