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Chicago , Illinois, Managing Consultant, Guidehouse Inc , Chicago IL . Manage large-scale projects for the healthcare industry clients by managing the day-to-day client relationships as well as project scope and budget issues. Oversee healthcare delivery projects including performance improvement, labor optimization and cost reduction. Establish work plans, resource needs, best practices of KPIs, and appropriate methodologies to optimize project profitability across clinical settings. Identify opportunities for significant health system savings and drive projects to realize savings through operational growth and improvements as well as hospital budgeting and accounting. Oversee the quality of the teams work through careful review of analyses and work product for projects. Perform advanced mathematical modeling using simulation software, statistical analysis and data visualization. Make recommendations to clients for various initiatives. Review and frequently presents deliverables to all levels at the client, from frontline staff (nurses, technologists) to C-suite executives including CFO, CNO (chief nursing office) and COO. Write reports for senior management and clients. Participate in business development efforts. Tools: Minitab, SPSS, Tableau, Microsoft Power BI. 40 hrs/week, Mon-Fri, 8:30 a.m. - 5:30 p.m.  MINIMUM REQUIREMENTS : Master’s degree, or foreign equivalent, in Operations Research or Statistics or Industrial Engineering or Health Administration or related field and 2 years experience in the job offered or as a healthcare consultant. In the alternative, employer will accept a Bachelor’s degree, or foreign equivalent, in Operations Research or Statistics or Industrial Engineering or Health Administration or related field plus 5 years of experience in the job offered or as a healthcare consultant. Must have any amount of experience in the following: Healthcare providers (health systems and hospitals) consulting in performance improvement, labor optimization, cost reduction strategies; Mathematical modeling using simulation software, statistics packages (Minitab, SPSS), data visualization software (Tableau, Microsoft PowerBI); Hospital budgeting & accounting; Best practices of KPIs in various clinical settings including nursing, surgical services, ancillary areas and clinics; and Presenting deliverables to clients. Up to 40% travel required. Please apply to: Barbara Homme, Guidehouse Inc., 150 North Riverside Plaza, Suite 2100, Chicago, IL 60606. Please reference Job-ID: IL0012.

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. 

College Station, Texas, A research position (at post-doctoral level) is available at the Weed Science Research Laboratory, Texas A&M University, College Station, Texas, USA to develop machine learning/artificial intelligence solutions for weed detection, classification and mapping to facilitate precision weed management using field robotics/drones in various agricultural systems. The successful applicant will join an interdisciplinary team of researchers investigating Integrated Weed Management, Remote Sensing, Precision Agriculture, Computer Vision, Deep Learning and Field Robotics. The incumbent will work collaboratively with a national team of scientists as part of GROW (Getting Rid Of Weeds; https://growiwm.org/ ) and PSA (Precision Sustainable Agriculture; http://precisionsustainableag.org/ ) networks. Key partners include Dr. Steven Mirsky (USDA-ARS, Beltsville) and Dr. Chris Reberg-Horton (North Carolina State University). Key responsibilities: • Develop methodological framework for field experiments • Manage the acquisition, handing and processing of huge database of images • Analyze images using state-of-the-art computer vision techniques and machine learning algorithms • Manuscript preparation and publication in peer-reviewed scientific journals • Mentor graduate students and provide technical support to relevant projects • Assist with securing extramural funding to the program Skills and Expertise: • Data mining, quantitative analysis, visualization tools • Machine learning algorithms (including current deep learning techniques) • 2D and/or 3D computer vision techniques • Predictive modeling and decision analytics • Basic remote sensing techniques • Knowledge of the application of field robotics and/or unmanned aerial systems in agricultural or natural systems are preferred Softwares and programming languages: • C++ or Python • PyTorch, TensorFlow or similar deep learning libraries • Image processing libraries such as OpenCV • Big data handling using Matlab, Python, R or other analytical platforms • ArcGIS or other geospatial data handling software • ERDAS Imagine, eCognition Developer, ENVI, or other image processing software Broad knowledge of the above tools is an asset, but consideration will also be given to candidates who have a good background and demonstrate the ability to quickly learn specific tools as required Qualifications: A relevant training at PhD level (MS degree holders with years of relevant experience may also be considered). Demonstrated written and oral communication skills are essential and previous experience working in agricultural or natural systems are preferred. Start Date: As soon as a suitable candidate is identified. Application: Interested applicants should email a detailed CV describing relevant knowledge and experience, list of publications, pertinent accomplishments and contact details of three referees to Dr. Muthukumar Bagavathiannan, Texas A&M University, College Station, TX (muthu@tamu.edu)

INFORMS Journal on Computing, Ahead of Print.

INFORMS Journal on Computing, Ahead of Print.

INFORMS Journal on Computing, Ahead of Print.

INFORMS Journal on Computing, Ahead of Print.

INFORMS Journal on Computing, Ahead of Print.