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HKG, Hong Kong, China, The University of Hong Kong Applications are invited for appointments as Tenure-Track Associate Professor/Assistant Professor (2 posts) in the Department of Industrial and Manufacturing Systems Engineering (Ref.: 504676), to commence as soon as possible on a three-year fixed-term basis, with the possibility of renewal and consideration for tenure before the expiry of a second three-year fixed-term contract.   The Department of Industrial and Manufacturing Systems Engineering is one of the five engineering departments in the Faculty of Engineering, offering B.Eng., M.Sc., M.Phil. and Ph.D. programmes in fields of Industrial Engineering and Logistics Management. Colleagues in the Department have received substantial amount of research grants in the fields of cyber-physical systems and supply chain and logistics engineering, related to robotics, virtual/augmented reality, Internet of Things and systems analytics with applications in manufacturing, logistics, construction and healthcare. Excellent facilities are provided in a number of laboratories for teaching and research. Information about the Department can be obtained at http://www.imse.hku.hk/. Applicants should possess a Ph.D. degree in Industrial and Systems Engineering or a closely related field, with a strong commitment to research and teaching. Both positions are open to all research areas in Industrial Engineering and Supply Chain and Logistics Engineering. Track records in journal publications and research projects will be advantageous. Priority for Post 1 will be given to those in the areas of systems/decision/data analytics while priority for Post 2 will be given to those in the areas of robotics and automation, Internet of Things, digital twin/cyber-physical system, smart industrial systems and virtual/augmented reality. The appointees are expected to enhance the collaboration and contribution to industrial and business sectors, including manufacturing, logistics, supply chains, healthcare, aviation and service engineering. They will be responsible for teaching undergraduate and postgraduate courses, and supervising research students and projects. A highly competitive salary commensurate with qualifications and experience will be offered, in addition to annual leave and medical benefits. At current rates, salaries tax does not exceed 15% of gross income. The appointment on fixed terms will attract a contract-end gratuity and University contribution to a retirement benefits scheme, totalling up to 15% of basic salary. Housing benefits will also be provided as applicable. The University only accepts online application for the above post. Applicants should apply online at the University’s careers site (https://jobs.hku.hk) and upload an up-to-date C.V., a research statement and a teaching statement. Applicants are highly encouraged to submit their applications as soon as possible. Review of applications will start on August 2, 2021 and continue until October 18, 2021 , or until the posts are filled, whichever is earlier. Shortlisted candidates will be invited to visit the Department, which will take place between October 4, 2021 and November 30, 2021.    The University is an equal opportunities employer and is committed to equality, ethics, inclusivity, diversity and transparency  

Fort Collins, Colorado, The Warner College of Natural Resources at Colorado State University (CSU) and the Rocky Mountain Research Station (RMRS) of the U.S. Forest Service are preparing to hire a Postdoctoral Research Associate to join the research team of the Mid-Atlantic Sustainable Biomass for Value-added Products Consortium (MASBio), which is the newest Coordinated Agricultural Project funded by the USDA National Institute of Food and Agriculture ( https://masbio.wvu.edu/home ). Researchers and industry partners participating in MASBio are working to deliver a sustainable and economically feasible industrial production system for innovative bio-based products manufactured from forestry and agricultural biomass feedstocks. This Postdoctoral Research Associate will join the team focused on biomass harvest, logistics and supply chain management, and will work directly with engineers and scientists at CSU, RMRS, West Virginia University (WVU), Idaho National Laboratory (INL) and others to conduct research and development activities in this field. Specifically, the person will be responsible for leading the development and optimization of advanced regional multi-feedstock biomass supply chain models to reduce feedstock costs and improve environmental outcomes.  APPLICATION LINK: https://jobs.colostate.edu/postings/89661 CLOSE: Rolling, until the position is filled; before August 15 th 2021 for full consideration DURATION: At least 18 months with opportunities for extension (as funding allows), starting as soon as possible but no later than November 1, 2021. DUTY STATION: The preferred location is the RMRS Forestry Sciences Laboratory in Missoula, Montana, or the RMRS Headquarters Office in Fort Collins, Colorado. Other strategic locations, such as co-locating with other MASBio partners in Morgantown (WV) or Syracuse (NY), may also be considered, but assignment to a duty station other than Missoula or Fort Collins will be highly dependent on the candidate. The position requires some travel and is eligible for some remote work under established telework guidelines. For more information about the preferred locations, interested candidates can visit: The RMRS website:   http://www.fs.fed.us./rmrs/ The CSU Warner College of Natural Resources: https://warnercnr.colostate.edu/ The Missoula Chamber of Commerce: https://missoulachamber.com/ The Fort Collins Chamber of Commerce:  https://fortcollinschamber.com/ MAJOR DUTIES: The RMRS-CSU team is leading efforts to model and optimize regional multi-feedstock supply chains that reduce risk and meet woody and herbaceous biomass procurement requirements for large industrial facilities. Primary feedstock supplies in the mid-Atlantic study region include woody residues from logging, milling and urban forestry activities, as well as switchgrass and willow feedstocks grown on marginal agricultural sites and reclaimed surface-mined lands. The Postdoctoral Research Associate will lead the design, development, optimization and dissemination of feedstock supply models for the MASBio region. Multiple integrated supply chain scenarios, informed by commercial partners representing diverse biproduct conversion pathways, will be evaluated with a focus on minimizing gate costs while maintaining feedstock quality and a continuous strategic supply throughout the year. Models will explicitly quantify and incorporate uncertainty and spatial and temporal variability in feedstock supply that can intensify risk, as well as metrics of environmental benefits and costs. The Postdoctoral Research Associate will also cooperate with other MASBio team members who are responsible for techno-economic modeling of these large bioproducts facilities and life cycle assessment of the products they produce. CONTACTS: For more information about the position, please contact Dr. Nate Anderson, Research Forester, U.S. Forest Service, Rocky Mountain Research Station, at nathaniel.m.anderson@usda.gov or by phone at (970) 219-2659; for CSU contact: Dr. Yu Wei, professor, Department of Forest and Rangeland Stewardship, at yu.wei@colostate.edu . ADDITIONAL INFORMATION: The United States Department of Agriculture (USDA) prohibits discrimination in all of its programs and activities on the basis of race, color, national origin, age, disability, and where applicable, sex, marital status, familial status, parental status, religion, sexual orientation, genetic information, political beliefs, reprisal, or because all or part of an individual's income is derived from any public assistance program. (Not all prohibited bases apply to all programs.) Persons with disabilities who require alternative means for communication of program information (Braille, large print, audiotape, etc.) should contact USDA's Target Center at (202) 720-2600 (voice and TDD). To file a complaint of discrimination, write USDA Director, Office of Civil Rights, 1400 Independence Avenue, S.W., Washington DC 20250-9410 or call (800) 795-3272 (voice) or (202) 720-6382 (TDD). USDA IS AN EQUAL OPPORTUNITY PROVIDER AND EMPLOYER. MASBio is committed to fostering a diverse and inclusive culture by promoting diversity, inclusion, equality, and intercultural and intercommunity outreach. We do not discriminate on the basis of race, color, national origin, ancestry, age, physical or mental disability, marital or family status, pregnancy, veteran status, service in the uniformed services (as defined by state and federal law), religion, creed, sex, sexual orientation, genetic information, gender identity, or gender expression in the administration of any of its educational programs, activities, or with respect to admission or employment. Colorado State University is committed to providing an environment that is free from discrimination and harassment based on race, age, creed, color, religion, national origin or ancestry, sex, gender, disability, veteran status, genetic information, sexual orientation, gender identity or expression, or pregnancy. Colorado State University is an equal opportunity/equal access/affirmative action employer fully committed to achieving a diverse workforce and complies with all Federal and Colorado State laws, regulations, and executive orders regarding non-discrimination and affirmative action. The Office of Equal Opportunity is located in 101 Student Services. REASONABLE ACCOMMODATION: The USDA Forest Service and Colorado State University provides reasonable accommodations to applicants with disabilities. If you need a reasonable accommodation for any part of the application and hiring process, please contact the point of contact listed above.  The decision on granting reasonable accommodation will be made on a case-by-case basis. REQUIRED QUALIFICATIONS: A PhD in engineering, natural resources, economics, computer science or related field. Demonstrated proficiency in statistics, mathematics, programming, modeling or other quantitative field that can be used in operations research, management science and supply chain modeling. PREFERRED QUALIFICATIONS: Relevant experience in operations research, management science or an allied field, with proficiency in supply chain management, systems analysis, spatial optimization, risk analysis, and/or model-oriented computer programming. Expertise in quantitative techniques and software that can be used to model supply chains and associated risk in a systems framework will also be preferred. Depending on qualifications

Santiago, Chile, The Faculty of Engineering and Sciences of Universidad Adolfo Ibáñez   https://ingenieria.uai.cl/ is pleased to invite researchers to apply for open-rank faculty positions in operations research & management sciences due to start as early as January 1st, 2022. The Faculty of Engineering and Sciences (FES) seeks candidates with demonstrated excellence in research, teaching, and service and with expertise in both theory and applications of Operations Research & Management Sciences. Candidates working in areas such as Prescriptive Analytics and Logistics are especially encouraged to apply to this opening. Faculty members at FES are expected to teach, in Spanish and/or English, undergraduate and graduate courses related to industrial engineering and related fields, supervise theses, conduct high-quality research, publish in top international journals, submit research proposals to national, international, and multinational funding organizations, and participate in outreach activities. FES also encourages and welcomes technological transfer and research in collaboration with the industry and the government. The salary depends on the qualifications of the chosen candidate. As a reference, a starting Assistant Professor should expect a monthly remuneration ranging between $3.000.000 to $4.000.000 CLP before taxes (US$ 45.000 - US$ 60.000 annual salary approximately). This salary does not include potential stipends from grants or research contracts. Candidates need not be fluent in Spanish at the moment of applying. They must have excellent oral and written communication skills, a great aptitude for teamwork, and a strong commitment to high-quality education and research. Applicants must have earned a Ph.D. degree in Operations Research or a related discipline at the time of hiring. Applicants in late stage of doctoral studies are also welcome. Relevant industry experience and indexed publications are a plus. At FES we believe that diversity broadens our research scope and enhances the quality of our education, so we highly encourage women, international scholars, and minorities to apply for this position. Applications should be turned in by September 15st, 2021, to ensure full consideration. Candidates should submit the following information via email to  FacultyPositions.FIC@uai.cl (email subject: Faculty Position in Operations Research), including at least: 1. Statement of purpose (in English) indicating your merits for the vacancy and your plans in the areas of research and teaching in which you are interested. 2. Curriculum vitae, which must at least include: contact information, educational background, educational and professional experience, and a list of publications in scientific journals. 3. Name, position, and contact information of at least three people who can submit a recommendation letter in case you are shortlisted. 4. Availability to work in the campus of Santiago, Viña del Mar or both. The candidate may also be asked to give a lecture about his/her current research topics and to hold interviews with the Dean and members of the Faculty of Engineering and Sciences. Interviews may be done by electronic means, if necessary.

Ithaca, New York, Post-Doc Research Opportunity in Smart and Healthy Communities at Cornell University Urban Technology, Digital Twin, and the Sustainability Business--Technology, Infrastructure, and Software Platform for Smart and Healthy Communities The Cornell University Transportation and Environment/Energy Systems (CUTES) research group invites applications from outstanding researchers for a post-doctoral research position in the area of Urban Technology, Digital Twin, and the Sustainability Business--Technology, Infrastructure, and Software Platform for Smart and Healthy Communities. The successful candidate will work as part of the multi-disciplinary team of CUTES research on urban technology, digital twin and software development, infrastructure investment and asset management optimization, and infrastructure finance/policy for smart and healthy communities. The CUTES group is a cross-disciplinary research team that takes innovative systems informatics-analytics approaches to solving urban infrastructure and its associated environment/health/economics and management problems.  The CUTES research group brings together a world-class interdisciplinary team to model the whole-of-life performance of urban technology, transportation/infrastructure, and complexity of the interdependency between the built and natural environments. The research team combines social scientists with researchers in engineering and complex systems simulation: the Group involves faculty and grad/undergrad students from Civil and Environmental Engineering, Statistics, Electrical and Computer Engineering, Computer Science, Applied Economics and Management, and Systems Engineering. The CUTES Research Group has a successful history in the nexus of urban transportation and environment/energy systems research and is involved in several large-scale interdisciplinary projects in economic/environmental impact assessment such as transportation emissions and air pollution/public health in New York City. Our research seeks to combine fundamental theoretical investigations with serious applications including the modeling and development of efficient systems for extracting and processing information. We aim at developing theoretical models, hybrid numerical approaches, computational algorithms, integrated software platforms, and ultimately policy insights and practical guidelines for managing the interactions among urban technologies, infrastructure and environment networks, and consumers and communities. Major Responsibilities This appointment is an opportunity for a researcher with proven ability in developing complex systems analytics models, urban technology and digital twin, software and platform development, optimization methods, and computational tools for real-world problems in Urban Technology, Transportation/Infrastructure Economics, and the Sustainability Business. Experience in transportation/infrastructure economics and finance, software systems engineering, network science, information, decision and complex networks, computational and infrastructure intelligence, dynamic data driven application systems, science of information computation and fusion, or modeling multi-layer infrastructure networks is desirable. An appetite for interdisciplinary collaboration is required, and active participation in research projects and leading a group of highly motivated Ph.D. students is expected. Example research areas/activities include: Data analytics, visualization and science; hybrid-models using big data and simulation models; hierarchical networks of distributed and cloud computing. Mathematical and probabilistic models, hybrid numerical approaches, computational algorithms, and integrated software platforms for modeling and managing the interactions among urban technology, infrastructure networks, and users (e.g., infrastructure facility and operations management, physical asset management, maintenance and reliability analysis, infrastructure network design and planning) Abstract modeling paradigms based on complex network theory and approximated network models, risk analysis methods, and a combination of simulation and advanced machine-learning techniques for Urban Technology, Transportation/Infrastructure Economics, and the Sustainability Business. Performance-based engineering and economics of infrastructure system?operation and management of vital regional/urban technology, transportation, and infrastructure systems, quantification of greenhouse gas (GHG) and other pollutant emissions from infrastructure systems, impacts on economics and public health (Environmental Risk assessment and management, Resource efficiency in infrastructure systems). Complex systems architectural design framework, combined with optimization models, taking into account the system of interest and its environment in modeling policy problems. Understanding of and support for the management of interdependent urban infrastructure systems, especially in the framework of life cycle management optimization. The models developed in the research will be embedded in computer-based decision aids. Such computer-based decision support is intended to assist decision makers in policy design and optimization for sustainable/resilient infrastructure and the underlying business model. Revenue and Finance: Modeling and mechanism design of alternative financing options (e.g., public private partnership (PPP)) for sustainable infrastructure and environment (Infrastructure financing and business models, Life cycle cost optimization, Infrastructure supply chain management, Contract and project management, Infrastructure policy) Qualifications The research will be undertaken in the group of Prof. H. Oliver Gao. The appointment will be served within the School of Civil and Environmental Engineering at Cornell University in Ithaca NY, with potential interactions with other Cornell units including: Computer Science, Electrical and Computer Engineering, Atkinson Center for a Sustainable Future (ACSF, http://www.acsf.cornell.edu/ ), Cornell NYC Tech ( http://tech.cornell.edu/ ), Cornell Program in Infrastructure Policy (CPIP https://www.human.cornell.edu/pam/research/cpip/home ), and Cornell Institute of Public Affairs (CIPA, http://www.cipa.cornell.edu/ ), etc.  Applicants for this position are expected to have excellent economic modeling, data analytics and computational skills and/or hands-on experience on the modeling of urban technology, infrastructure systems and networks. We are looking for highly motivated, committed, and creative individuals, able to work in a team and with good communication skills. Working in a top-level research environment, the candidate will have a unique opportunity to develop further their research abilities. The candidate must hold a Ph.D. degree with top performance in a field that is closely related to transportation/infrastructure networks and economics, mathematical modeling, control theory, economics and finance for complex systems. Candidates with an earned (or soon-to-be-earned) doctoral degree in Economics and finance, Civil and Environmental Engineering, Operations Research, Computer Science, or other relevant disciplines will be considered, provided their strong research track record. He or she should have a track record in conducting original highly competitive scientific research and publishing the results in top conferences and scientific journals. Maturity, self-motivation and the ability to work both independently and as a team player in local and international research teams are expected. Relevant experience could also include systems and network architecture, big data management, decentralized or distributed control. Ability to initiate new research collaborations, work in a team and be open for the application of results is important.   To apply: Application materials must be submitted on-line through AcademicJobsOnline at https://academicjobsonline.org/ajo/jobs/18763   Through this web site, applicants are to submit a cover letter, curriculum vitae–include a complete list of publications, a research statement, 2-3 publications relevant to the topic, undergraduate and graduate transcripts and complete contact information for no fewer than three references. Questions can be directed to cee_search@cornell.edu  Review of applications will start immediately and continue until the position is filled. Start date can be as soon as the identified candidate becomes available. Initial appointment will be for one year, with possible extensions.   The School of Civil and Environmental Engineering and the College of Engineering at Cornell embrace diversity and seek candidates who can contribute to a welcoming climate for students of all races and genders. Diversity and inclusion are a part of Cornell University’s heritage. We are a recognized employer and educator valuing AA/EEO, Protected Veterans, and Individuals with Disabilities.   The candidate must hold a Ph.D. degree with top performance in a field that is closely related to transportation/infrastructure networks and economics, mathematical modeling, control theory, economics and finance for complex systems. Candidates with an earned (or soon-to-be-earned) doctoral degree in Economics and finance, Civil and Environmental Engineering, Operations Research, Computer Science, or other relevant disciplines will be considered, provided their strong research track record. He or she should have a track record in conducting original highly competitive scientific research and publishing the results in top conferences and scientific journals. Maturity, self-motivation and the ability to work both independently and as a team player in local and international research teams are expected. Relevant experience could also include systems and network architecture, big data management, decentralized or distributed control. Ability to initiate new research collaborations, work in a team and be open for the application of results is important.  Please confirm receipt of posting to me with a link to the AD n/a

Port Jervis, New York, Works closely with Quality and cross-functional groups (manufacturing and technical) to write investigation reports which are reviewed with customers. Work on many phases or sub-tasks of projects or entire projects of moderate complexity, with results impacting on project completion. Work under general supervision, reviewed at project milestones and/or on completion by Senior Management Organizational Relationships: Communicates directly with all Quality personnel and interfaces with other internal cross-functional groups (R&D/Process Engineering, Operations, and Logistics) specialists to implement an effective, documented process that defines product Quality requirements, best practice and training materials to support continuous improvement initiatives. Contact with Customers regarding investigations, joint ventures and Supply chain partners  Liaise and communicate with other departments, customers, suppliers and other service providers.  Communicate efficiently throughout the shop floor and with own and customer’s management Responsibilities: Facilitates and leads problem-solving for root cause analysis and corrective/preventive action (CAPA) planning. Writes investigation reports for non-conformances and customer complaints. Reviews investigation reports with customers. Leads Quality Dashboard & Quality Metrics  (monthly cross-functional team). Works cross-functionally with Manufacturing, R&D, Process Engineering, and Quality. Drives Continuous Improvement through identification of corrective and preventive actions Collate quality data for monitoring targets Applies quality and/or standard-setting body requirements to develop solutions, control and/or maintain technical documents and/or Quality Systems. Perform in-depth internal assessments and evaluations by collecting and analyzing accurate, objective evidence regarding risks and their magnitude. Determine the logic, adequacy and effectiveness of processes, systems and related requirements.  Assist with training of quality awareness Report on Key Performance Indicators (KPIs) in order to adhere to process and prevent occurrence of any non-conformity relating to product, process or system Promote the use of customer preferred techniques for continuous improvement such as Six-Sigma, Poka-Yoke (Error Proofing), and Measurement System Analysis Keep up with current and developing manufacturing and engineering trends that concern product quality  Undertake special projects as required   Contribute to continuous improvement activities  Quality control of work by appropriate reviews  Write reports and present progress at project meetings and to clients  Achieve goals within budget  Conduct benchmarking studies to determine best practices/designs and future trends  Plan projects or subtasks so they may be tracked and presented  Attend various meetings and action/communicate instructions  Undertake continuous training and development  Independently determine approach and assigned task Conduct Internal and Supplier Audits as needed Skills & Attributes: Knowledge of quality systems Working knowledge of business systems Strong knowledge of Advanced Product Quality Planning (APQP) Production Part Approval Process (PPAP), Failure Mode and Effect Analysis (FMEA) Lean Manufacturing knowledge Understanding of engineering drawings and manufacturing processes Ability to work in a diverse and dynamic environment Planning and prioritizing activities Good communication and interpersonal skills Negotiation skills Ability to present data effectively Problem-solving skills Team working skills Analytical skills Understanding of cost and financial impacts Ability to work on own initiative Qualifications and Experience Levels: Previous experience in a high volume manufacturing environment, Experience of working in Quality Assurance Six Sigma/Lean Manufacturing skills Experience of dealing with customers and suppliers Qualifications: B.S. degree in science or engineering Minimum 5 years work experience; preferably in OTC/cosmetic manufacturing business. Experience with quality investigations, root cause analysis, and corrective action reports Good ability to perform detailed tasks with little supervision. Knowledge of 21 CFR 210/211 Current Good Manufacturing Practices (cGMPs), ISO 22716 & 9001 Documented success in managing multiple projects; well organized.  

Transportation Science, Ahead of Print.

Transportation Science, Ahead of Print.

Transportation Science, Ahead of Print.

Transportation Science, Ahead of Print.

Transportation Science, Ahead of Print.