Home

Washington, D.C., 1) This appointment is to a full-time faculty position as Assistant Teaching Professor, which is a joint appointment between the McCourt School of Public Policy and the McDonough School of Business at Georgetown University.  As part of your appointment with MSB, you will contribute to all academic computing and programming activities for the Master of Science in Business Analytics (MSBA) in the McDonough School of Business.  At McCourt, you will assist in course planning; participate in our data science community and in advising students both academically and professionally in the Data Science for Public Policy (DSPP) program, 2) The appointment is for a term of three academic years, effective Sept. 1, 2020 and ending August 31, 2023. 3) You will teach courses related to programming and data management in addition to advising student teams on the Capstone courses in the MSBA program.  For McCourt, most instruction will be in person.  For MSB, most instruction will be online. 4) Your appointment to the faculty carries with it the obligation to provide instruction and to contribute to the intellectual life of the both the McCourt School and the McDonough School of Business. You will be assigned 15 credits over the year at a 100% FTE, with scheduling, level, subject matter, and enrollment being determined by the Dean’s Offices at both schools. Additional responsibilities include overseeing the MSBA program’s academic integrity, student academic engagement, collaborating with faculty colleagues to develop asynchronous course material and other items requested by the MSBA Director. Application Instructions: To assure full consideration, applications, including cover letter, curriculum vitae, and teaching evaluations should be submitted to Interfolio.  Consideration will begin 1 August 2020, but applications are welcomed until the position is filled   Candidates should have a substantive background and interest in Programming (e.g., R, Python), including topics such as Relational and Non-Relational Databases, Data Engineering and Management, Big Data infrastructure, high-performance computing, spatial data, text-as-data and machine learning.  Candidates should also have active research interests, ideally at the intersection of policy and business, but at least in one of the two fields. Successful candidates will contribute to scholarly teaching, student advising and faculty support in the MSBA program and overall growth of the McDonough School of Business in the areas of computing and information technology.  An MS in a technical field (e.g., computer science, engineering, statistics, data science, or any related data-driven discipline) with extensive experience in R and Python programming is required. A PhD degree is preferred. Candidates with industry and applied experience are strongly encouraged to apply. The ideal candidate will teach programming and big data courses and will serve in an advisory role for the students and faculty in the MSBA and DSPP programs.       Georgetown University is an  Equal Opportunity/Affirmative Action Employer  fully dedicated to achieving a diverse faculty and staff.  All qualified applicants are encouraged to apply and will receive consideration for employment without regard to race, color, religion, national origin, age, sex (including pregnancy, gender identity and expression, and sexual orientation), disability status, protected veteran status, or any other characteristic  protected by law .

Indianapolis, Indiana, The School of Business at the University of Indianapolis is currently experiencing growth in both its undergraduate and graduate business programs.  The School seeks applicants for a tenure-track Assistant or Associate Professor of Applied Analytics.  This is a full-time, nine-month faculty position with a desired start date of August 2020. Teaching requirements could consist of courses in information systems, applied analytics, data analytics and possibly other related fields at the undergraduate and Master’s levels, including a new Master’s program in Data Analytics. The normal teaching load is 24 semester hours per academic year. Teaching may be done in face to face or hybrid modalities. Successful candidates should also have demonstrated abilities toward scholarly activity in their fields at the Assistant level or a demonstrated record of scholarship for consideration at the Associate level.  Service to the school, University and community are also requirements for the position.  Business outreach efforts will also be involved with this position. The University of Indianapolis is a private, comprehensive university whose motto is “Education for Service.”  Ranked in the top tier of Midwest universities by U.S. News & World Report, the university is situated in the 12th largest city in the United States, located on an attractive 65-acre urban campus in an area with an affordable cost of living. It is within a 10-minute drive of what Forbes magazine lists as one of “America’s Best Downtowns” where the potential for networking includes a rich social and intellectual confluence of professionals, artists, and cultural/educational events.  Founded in 1902, UIndy has a home campus of nearly 6,000 students.  The ACBSP-accredited School of Business has a collegial faculty and is home to 700 undergraduates in 8 majors as well as 300 plus students in MBA, Master of Science in Management, and Master of Professional Studies graduate programs as well as adult learning undergraduate and graduate programs.  Personal attention, small interactive classes, and flexible programming are the rule rather than the exception. The ideal candidate would have PhD or DBA in a field related to Data Analytics, such as Information Systems or Applied Statistics. Prior experience in applied consulting or work experience in the field is desirable; prior quality teaching is essential. Qualified candidates with Master’s degrees will be considered, provided they have significant professional experience.  To view the full advertisement and apply, visit  hrjobs.uindy.edu .   The University of Indianapolis is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, sex, age, color, religion, national origin, disability, citizenship status, military status, marital status, sexual orientation, gender identity, or gender expression. The University of Indianapolis does not discriminate on the basis of sex in its educational programs and activities, including employment and admission as required by Title IX.

Sunnyvale, California, Silicon Valley Clean Energy is seeking a Senior Data Engineer who works under the direction of the Director for Decarbonization & Grid Innovation to lead an organization-wide data strategy, and the design, implementation and management of an optimized and reliable overarching data architecture for SVCE’s business functions to support achieving our decarbonization mission.    The position will be responsible to:  Design, implement and manage an optimized and reliable overarching data architecture to support SVCE’s business and mission. Develop and maintain the infrastructure required for extraction, transformation, and loading of data from a wide variety of data sources (ETL). Identify, design, and implement internal process improvements, including automating manual processes, optimizing data delivery, and re-designing infrastructure for greater scalability. Design and implement best practices for data storage, versioning, querying, as well as managing relevant Build processes supporting data transformation, data structures, metadata, dependency, and workload Collaborate across the organization and with external partners to aggregate additional relevant data sets to support business functions. Design and develop data analytics dashboards and visualization tools. Collaborate with internal and external stakeholders to understand business and policy challenges, goals and objectives and translate them into data analytics use Support data requests with key Silicon Valley stakeholders such as research institutions, start-ups, high-tech, students and the community Qualifications for Senior Data Engineer Any combination of experience and training that would likely provide the required knowledge and abilities is qualifying.   Education: A Bachelor’s Degree from an accredited university or college in science, technology, engineering, mathematics, or a related, quantitative field. A Master’s Degree in the aforementioned fields can substitute for up to one year of the required experience. A Doctoral Degree in the aforementioned fields can substitute for up to three years of the required experience. Experience: Six (6) years of progressively responsible experience as a data engineer at an electric utility, cleantech company, software company, or similar organization Applicants must submit a cover letter outlining key qualifications and reasons for your interest, a current resume including education and 5 years of previous employment history, and a completed copy of the SVCE job application, available at http://www.svcleanenergy.org/jobs . Please email these documents and any questions to: hr@svcleanenergy.org by 5 PM on July 31, 2020 .   Competitive benefits

New York, New York, Columbia University Post-doctoral Position The Department of Industrial Engineering and Operations Research (IEOR) at Columbia University in New York City invites applications for two post-doctoral positions for the project ``Risk-Aware Power System Control, Dispatch and Market Incentive'', funded by ARPA-E. The post-doc will work with professors Daniel Bienstock, Agostino Capponi, and Garud Iyengar at Columbia. The post-doc will work on the analytics, engineering design, and development of a risk dashboard for operations in power systems. The dashboard will rely on advanced techniques from risk management and newly designed asset and systemic risk metrics to continuously track systems and market conditions, as well as to proactively dispatch available resources to avoid insecure operations.  An important goal of the project is to inform independent system operators on how to use renewable, demand and storage resources for reducing risk, and on how to adequately compensate these resources for reducing systemic risks.  The candidate will have the unique opportunity to work on a cutting edge and potentially transformative framework that integrates advanced risk management concepts and techniques from financial engineering into power flows and wholesale market operations, such as load and renewable forecasts. Candidates must have a PhD degree in Electrical, Mechanical, Control, Environmental Engineering, Operations Research, or Applied Mathematics. We welcome candidates with a demonstrated record of research accomplishment and a strong commitment to excellence in education to apply. In addition, the ideal candidate should be familiar with power engineering and control theory. Exposure to financial risk management is desirable, but not mandatory. The candidate should also be very familiar with programming languages, such as C/C++ and Python. The candidate will also benefit from interactions with various faculty from the IEOR Department, the school of Engineering and Applied Sciences, the Business School, and the School of International and Public Affairs. This is a one-year position with possibility of renewal depending on the progress achieved and continued funding. Candidates should apply at http://pa334.peopleadmin.com/postings/5868 and submit the following: curriculum-vitae, a copy of their official degree transcript, and a representative research paper. The applicants should also arrange to have at least two letters of recommendation submitted electronically. The position will remain open until filled and applications will be reviewed as they are submitted.  Applicants can consult ieor.columbia.edu for more information about the department. Columbia University is an Equal Opportunity/Affirmative Action employer---Race/Gender/Disability/Veteran.  

Beijing, China, POSITION S Assistant Professor/Associate Professor/ Full Professor in Management Science and Engineering   ABOUT THE ORGANIZATION Tsinghua has the most selective undergraduate program in Mainland China and is among the top 50 universities in the world according to both Times of London and QS rankings. With its Beijing campus inside an expansive former Qing Dynasty garden, the school provides an excellent research environment and the possibility of teaching undergraduate, Master’s (research-oriented, MBA and EMBA) and Ph.D. students. More information about the school can be found at http://www.sem.tsinghua.edu.cn (English version: http://www.sem.tsinghua.edu.cn/portalweb/appmanager/portal/semEN).   POSITIONS SUMMARY The School of Economics and Management (SEM) at Tsinghua University invites applications for faculty positions (Assistant Professor, Associate Professor and Full Professor) in the Department of Management Science and Engineering. The School offers competitive salary, relocation fund, start-up research fund and other fringe benefits. Applicants should hold (or expect to hold before employment) a Ph.D. degree in the field of Information Systems, Operations Management, and related fields. Candidates with a strong methodological background in data analysis and machine learning, optimization, and stochastic methods are preferred. We stress high research potential or achievement. Candidates must be committed to effective teaching, scholarly and professional research, as well as university and community service. Rank and salary will be commensurate with qualifications and experience. No knowledge of Chinese is required, and applicants of all nationalities are encouraged to apply.   APPLICATION To apply, please send an application cover letter, CV (including a list of publications and working papers), three letters of reference (apart from tenured positions), evidence of research and teaching excellence, selected articles or working papers to scholar@sem.tsinghua.edu.cn .   Screening of candidates will start immediately and will continue until the positions are filled.   Information Systems, Operations Management, and related fields. Candidates with a strong methodological background in data analysis and machine learning, optimization, and stochastic methods are preferred. We stress high research potential or achievement. Candidates must be committed to effective teaching, scholarly and professional research, as well as university and community service. 

Information Systems Research, Volume 31, Issue 2, Page C2-C2, June 2020.

Information Systems Research, Volume 31, Issue 2, Page iii-vii, June 2020.

Information Systems Research, Volume 31, Issue 2, Page 647-652, June 2020.

Information Systems Research, Volume 31, Issue 2, Page 340-360, June 2020.

Information Systems Research, Ahead of Print.