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The College on Organization Science brings together scholars and practitioners interested in organizational behavior, organization theory, and strategic management. Its goal is to further the theoretical understanding of organizations, and help put theory into practice.

JOBS OF INTEREST TO ORGANIZATION SCIENCE

  • Silver Spring, Maryland, Department of Health and Human Services (HHS) Food and Drug Administration (FDA) Center for Devices and Radiological Health (CDRH) Office of Product Evaluation and Quality (OPEQ) Office of Clinical Evidence and Analysis (OCEA) _________________________________________________________________ Position(s):  Artificial Intelligence Advisor Location(s):  Silver Spring, Maryland, FDA headquarters, White Oak Campus       Travel Requirements: This position may require up to 25% travel. Application Period :  Thursday, May 19, 2022, through Thursday, June 16, 2022 Salary: Salary starts at $148,484.00 and is commensurate with experience Conditions of Employment: United States Citizenship is required Special Notes: This position is being filled under an excepted hiring authority, Title 21, Section 3072 of the 21st Century Cures Act. The candidate selected for this position will serve under a career or career-conditional appointment and be paid under the provisions of the authority. Additional information on 21st Century Cures Act can be found here.   Introduction:  The  Center for Devices and Radiological Health (CDRH or Center) assures that patients and providers have timely and continued access to safe, effective, and high-quality medical devices and safe radiation-emitting products. The Office of Product Evaluation and Quality (OPEQ or Office) facilitates medical device innovation by advancing regulatory science, providing industry with predictable, consistent, transparent, and efficient regulatory pathways, and assuring consumer confidence in devices marketed in the U.S.     The Office of Clinical Evidence and Analysis (OCEA or Office) , within OPEQ, provides policy and programmatic support for clinical trials, the protection of human subjects, biostatistics, real-world evidence, epidemiological analysis and outreach, and collaborates with hospitals, health systems, industry, and other external stakeholders.  Additionally, OCEA provides regulatory oversight of medical device clinical investigations, to ensure good laboratory practices and clinical practices in support of premarket review.  Further, OCEA oversees the application of modern artificial intelligence (AI) tools, including machine learning (ML) algorithms and deep learning methodologies that can be evaluated, piloted, and implemented at scale, by CDRH, to identify or predict medical device safety signals faster and earlier in the life cycle of devices. Position Summary :  OCEA is seeking an experienced Artificial Intelligence Advisor.  In this position, you will report to the OCEA Deputy Office Director and will be charged with advancing the Office’s strategic vision for the development and implementation of AI and ML initiatives that support OCEA and OPEQ in the TPLC review of medical devices.  In leading this Center-wide effort, you will develop a strategic vision, provide technical direction, and assure the successful systematic operational implementation of these AI and ML modeling and design data science initiatives.  You will also serve as the Center’s AI and ML Liaison.  As such, you will champion this technology and provide the necessary guidance, leadership, and support to all components of CDRH, to ensure the Center is well-positioned to positively embrace this implementation.  Further, you will represent the Office and Center and collaborate with external stakeholders and exchange information and ideas with other AI and ML experts associated with the development and use of this enabling technology. Duties/Responsibilities:   As the Artificial Intelligence Advisor, you will: Direct the strategic vision, direction, and AI and ML implementation strategies for the OCEA and the Center. Develop executive-level and technical briefing materials to convey AI and ML strategies to multiple audiences, which identify metrics, performance indicators, and milestones to monitor progression. Lead and support Data Scientists in the development of scalable data science solutions and tools to address business needs, including reporting, analytics, and experimentation platforms. Empower senior Data Scientists, through collaboration, to determine the proper data insights to generate data-driven decisions. Provide oversight of the integration of in-depth data science knowledge into analytics and visualization tools that will be utilized to support Office and Center leadership, as well as the scientific and technical staff in evidenced-based regulatory decision making. Provide technical expertise to product teams in the development, implementation and oversight of new technologies in the field of Data Science. Establish, refine, and lead long-range strategies, with feedback loops, for data governance, analytical insights, and ML, to drive data-centered thinking and to ensure innovative techniques are embedded throughout the process. Share technical expertise with product teams regarding the development, implementation and oversight of new technologies in the field of Data Science. Establish and sustain a strong and dynamic environment within the Division and Office to support organizational agility, innovation, a focus on continuous improvement, mentorship, staff empowerment, and collaboration. Serve as the Center’s AI and ML External Partnership Liaison and engage with external stakeholders leading similar initiatives to identify strategic alignment and opportunities to integrate and share best practices in developing and deploying emerging AI capabilities to ensure business needs are being met. Represent the Office at meetings, advisory panels, and conferences and brief attendees on technical issues, provide explanations and interpretations of decisions, and share OCEA’s activities, plans, and policies.   Employ quality assurance and quality control protocols to gauge and improve effectiveness, uncover and analyze data discrepancies, and develop strategies to promote data quality and integrity. Professional Experience/ Key Requirements:  To qualify for this position, you must demonstrate in your resume the necessary qualifying experience, which includes the following: Experience in developing, leading, implementing, and evaluating large-scale AI and ML strategies. Experience in leading interdisciplinary scientists, clinicians, and other regulatory professionals in large-scale science-based organizations. Leading the strategic achievement of organizational goals, evaluating organizational performance, and taking action to improve outcomes. Ability to build collaborative and mutually beneficial working relationships with a diverse cadre of customers and stakeholders. Skillful in effectively interpreting and presenting complex scientific, technical, and regulatory information and concepts, in both written and oral formats, for a variety of audiences. Experience in utilizing predictive modeling concepts, machine-learning approaches, and/or optimization algorithms to analyze data. Expertise in machine learning, deep learning (CNNs, RNNs, LSTMs, GANs), and familiarity with deep learning libraries (TensorFlow, PyTorch, etc.).   Desirable Education and Experience: Applicants with advanced degrees in Biomedical Engineering, Computer Engineering, Electrical Engineering, General Engineering, Systems Engineering, Computer Science, Mathematics, Mathematical Statistics, Statistics, or related fields.   Prior experience in a scientific, regulatory, or medical device manufacturing setting. Ability to work collaboratively with a diverse cadre of colleagues and stakeholders in a continuous quality improvement ecosystem. Basic Qualifications: Candidates must possess the required individual occupational requirements to qualify for the appropriate series applicable to the position. Please use the following link to determine the series for which you qualify: https://www.opm.gov/policy-data-oversight/classification-qualifications/general-schedule-qualification-standards/#url=List-by-Occupational-Series   Conditions of Employment: A probationary period may be required. Background and/or Security investigation required. All applicants born male, on (or after) 12/31/1959, must be registered with the Selective Service System OR have an approved exemption. This position is subject to strict prohibited financial interest regulations which could restrict the type of financial interest (stock holdings) for the employee, the spouse, and minor children of the employee. For additional information on the prohibited financial interests, visit the FDA Ethics and Integrity Office website at https://www.fda.gov/about-fda/jobs-and-training-fda/ethics . How to Apply:  Submit an electronic resume or curriculum vitae, cover letter containing a brief summary of scientific accomplishments, and a copy of unofficial transcripts all in one document ( Adobe PDF ) to CDRHRecruitment@fda.hhs.gov , with Job Reference code “2020-OCEA-DCEA1-040-2021-11-29D” in the subject line. Applications will be accepted through June 16, 2022. Equal Employment Opportunity Policy The United States Government does not discriminate in employment on the basis of race, color, religion, sex (including pregnancy and gender identity), national origin, political affiliation, sexual orientation, marital status, disability, genetic information, age, membership in an employee organization, retaliation, parental status, military service, or other non-merit factor. Equal Employment Opportunity (EEO) for federal employees & job applicants Reasonable Accommodation Policy Federal agencies must provide reasonable accommodation to applicants with disabilities where appropriate. Applicants requiring reasonable accommodation for any part of the application process should follow the instructions in the job opportunity announcement. For any part of the remaining hiring process, applicants should contact the hiring agency directly. Determinations on requests for reasonable accommodation will be made on a case-by-case basis. A reasonable accommodation is any change to a job, the work environment, or the way things are usually done that enables an individual with a disability to apply for a job, perform job duties or receive equal access to job benefits.   Under the Rehabilitation Act of 1973, federal agencies must provide reasonable accommodations when: An applicant with a disability needs an accommodation to have an equal opportunity to apply for a job. An employee with a disability needs an accommodation to perform the essential job duties or to gain access to the workplace. An employee with a disability needs an accommodation to receive equal access to benefits, such as details, training, and office-sponsored events.   You can request a reasonable accommodation at any time during the application or hiring process or while on the job. Requests are considered on a case-by-case basis. Learn more about  disability employment and reasonable accommodations  or  how to contact an agency.   The Department of Health and Human Services is an equal opportunity employer with a smoke free environment. FDA is an equal opportunity employer   Salary starts at $148,484.00 and is commensurate with experience
  • Silver Spring, Maryland, Department of Health and Human Services (HHS) Food and Drug Administration (FDA) Center for Devices and Radiological Health (CDRH) Office of Product Evaluation and Quality (OPEQ) Office of Clinical Evidence and Analysis (OCEA) Division of Clinical Evidence and Analysis II (DCEA2) _________________________________________________________________ Position(s):  Deputy Division Director (Supervisory Data Scientist) Location(s):  Silver Spring, Maryland, FDA headquarters, White Oak Campus       Travel Requirements: This position may require up to 25% travel. Application Period :  Thursday, May 19, 2022, through Thursday, June 16, 2022 Salary: Salary starts at $148,484.00 and is commensurate with experience Conditions of Employment: United States Citizenship is required Special Notes: This position is being filled under an excepted hiring authority, Title 21, Section 3072 of the 21st Century Cures Act. The candidate selected for this position will serve under a career or career-conditional appointment and be paid under the provisions of the authority. Additional information on 21st Century Cures Act can be found here.   Introduction:  The  Center for Devices and Radiological Health (CDRH or Center) assures that patients and providers have timely and continued access to safe, effective, and high-quality medical devices and safe radiation-emitting products. The Office of Product Evaluation and Quality (OPEQ or Office) facilitates medical device innovation by advancing regulatory science, providing industry with predictable, consistent, transparent, and efficient regulatory pathways, and assuring consumer confidence in devices marketed in the U.S.     The Office of Clinical Evidence and Analysis (OCEA or Office) , within OPEQ, provides policy and programmatic support for clinical trials, the protection of human subjects, biostatistics, real-world evidence, epidemiological analysis and outreach, and collaborates with hospitals, health systems, industry, and other external stakeholders.  Additionally, OCEA provides regulatory oversight of medical device clinical investigations, to ensure good laboratory practices and clinical practices in support of premarket review.  Further, OCEA oversees the application of modern artificial intelligence (AI) tools, including machine learning (ML) algorithms and deep learning methodologies that can be evaluated, piloted, and implemented at scale, by CDRH, to identify or predict medical device safety signals faster and earlier in the life cycle of devices. Position Summary :  OCEA is seeking an innovative scientific, technical, and regulatory expert to serve as Deputy Division Director in the Division of Clinical Analysis II (DCEA2).  The Division develops, implements, and promotes innovative statistical methodology in the design and analysis of clinical evidence generated throughout the Total Product Life Cycle of medical devices.  In this position, you will report to the OCEA Deputy Office Director and serve as the authoritative voice on analytical, statistical, and programmatic techniques to collect, organize, analyze, and interpret unique and highly specialized data sets related to the pre-market review, compliance assessment, and post-market surveillance of medical devices and products.  You will lead the Office’s efforts of advancing statistical science for the Center by prioritizing new data analytic tools, adopting cutting-edge methodologies, and incorporating AI and ML in the analysis of clinical evidence and statistical data to improve decision-making.  Further, you will manage, provide technical leadership, and support an interdisciplinary team of scientific experts charged with evaluating the consistency and validity of industry reported information, as well as conducting real-world data assessments of medical device usage, and evaluate reported data from both the clinical and scientific communities, related to the safety, efficacy, and reliability of medical devices and products.  Supervisory Responsibilities:  You will assist the DCEA2 Director in setting strategy, advancing initiatives, and ensuring the goals, priorities, and objectives of the Division align with those of OCEA, OPEQ, and the Center.  As a creative and collaborative leader, you will assist in managing and growing a high-performing, interdisciplinary scientific, technical, and professional team, for optimal efficiency and performance, in support of advancing the strategic vision of the Office.  As such, you will evaluate the technical and managerial performance of your subordinate supervisors and devote at least 25 percent of your time towards coaching, mentoring, and supervising your leadership team.  Duties/Responsibilities:   As the DCEA2 Deputy Division Director, you will: Serve as the resident expert and cogent voice to the OCEA Deputy Office Director on matters involving the adoption and implementation of new and cutting-edge data analytic tools for the review of complex medical device data sets encompassing the total product life cycle. Provide expert consultation to Office leadership on programmatic plans, the healthcare and scientific communities, and industry related trends, significant concerns, and adverse event reported data regarding medical devices. Provide technical expertise to product teams in the development, implementation and oversight of new technologies in the field of Data Science. Collaborate with the DCEA 2 Division Director and the OCEA Deputy Office Director in the planning, organizing, and the establishment or realignment of priorities, assignments, and work projects to advance new initiatives and/or the programmatic and regulatory objectives of the Division and Office. Represent the Division and Office at meetings, advisory panels, and conferences involving officials from the Department and other Federal, state, and local government agencies, foreign governments and international agencies, the scientific, academic, and medical communities, and representatives of regulated industry to share OCEA’s activities, plans, policies, and decisions. Advise the Division Director and Office leadership on the utilization of new and emerging technologies associated with AI and ML in the analysis of medical device data to detect early signals, trends, and other critical information. Draft decisions and recommendations of national public health significance, which may impact the availability of certain products due to safety, efficacy, and reliability concerns. Forge mutually beneficial formal partnerships with medical device manufacturers, foreign agencies, professional scientific organizations, health care community, patient advocacy groups, academia, and other federal, state, and local stakeholders. Create and sustains a strong and dynamic culture within the Division including organizational agility, a focus on continuous improvement, and staff empowerment and collaboration. Professional Experience/ Key Requirements:  To qualify for this position, you must demonstrate in your resume the necessary qualifying experience, which includes the following: Experience in leading and managing interdisciplinary scientists, clinicians, and other regulatory professionals in large-scale science-based organizations. Ability to analyze and interpret regulatory policy and guidance to share expertise and advise leadership on highly complex and precedent setting public health matters. Leading the strategic achievement of organizational goals, evaluating organizational performance, and taking action to improve outcomes. Ability to build collaborative and mutually beneficial working relationships with a diverse cadre of customers and stakeholders. Skillful in effectively interpreting and presenting complex scientific, technical, and regulatory information and concepts, in both written and oral formats, for a variety of audiences.   Desirable Education and Experience: Applicants with advanced degrees in Biomedical Engineering, Computer Engineering, Electrical Engineering, General Engineering, Systems Engineering, Computer Science, Mathematics, Mathematical Statistics, Statistics, or related fields.   Prior experience in a scientific, regulatory, or medical device manufacturing setting. Ability to work collaboratively with a diverse cadre of colleagues and stakeholders in a continuous quality improvement ecosystem. Basic Qualifications: Candidates must possess the required individual occupational requirements to qualify for the appropriate series applicable to the position. Please use the following link to determine the series for which you qualify: https://www.opm.gov/policy-data-oversight/classification-qualifications/general-schedule-qualification-standards/#url=List-by-Occupational-Series   Conditions of Employment: A probationary period may be required. Background and/or Security investigation required. All applicants born male, on (or after) 12/31/1959, must be registered with the Selective Service System OR have an approved exemption. This position is subject to strict prohibited financial interest regulations which could restrict the type of financial interest (stock holdings) for the employee, the spouse, and minor children of the employee. For additional information on the prohibited financial interests, visit the FDA Ethics and Integrity Office website at https://www.fda.gov/about-fda/jobs-and-training-fda/ethics . How to Apply:  Submit an electronic resume or curriculum vitae, cover letter containing a brief summary of scientific accomplishments, and a copy of unofficial transcripts all in one document ( Adobe PDF ) to CDRHRecruitment@fda.hhs.gov , with Job Reference code “2020-OCEA-DCEA2-MDE-018” in the subject line. Applications will be accepted through June 16, 2022. Equal Employment Opportunity Policy The United States Government does not discriminate in employment on the basis of race, color, religion, sex (including pregnancy and gender identity), national origin, political affiliation, sexual orientation, marital status, disability, genetic information, age, membership in an employee organization, retaliation, parental status, military service, or other non-merit factor. Equal Employment Opportunity (EEO) for federal employees & job applicants Reasonable Accommodation Policy Federal agencies must provide reasonable accommodation to applicants with disabilities where appropriate. Applicants requiring reasonable accommodation for any part of the application process should follow the instructions in the job opportunity announcement. For any part of the remaining hiring process, applicants should contact the hiring agency directly. Determinations on requests for reasonable accommodation will be made on a case-by-case basis. A reasonable accommodation is any change to a job, the work environment, or the way things are usually done that enables an individual with a disability to apply for a job, perform job duties or receive equal access to job benefits.   Under the Rehabilitation Act of 1973, federal agencies must provide reasonable accommodations when: An applicant with a disability needs an accommodation to have an equal opportunity to apply for a job. An employee with a disability needs an accommodation to perform the essential job duties or to gain access to the workplace. An employee with a disability needs an accommodation to receive equal access to benefits, such as details, training, and office-sponsored events.   You can request a reasonable accommodation at any time during the application or hiring process or while on the job. Requests are considered on a case-by-case basis. Learn more about  disability employment and reasonable accommodations  or  how to contact an agency.   The Department of Health and Human Services is an equal opportunity employer with a smoke free environment. FDA is an equal opportunity employer   Starts at $148,484.00 and is commensurate with experience
  • Baltimore, Maryland, Description The Department of Computer Science and Electrical Engineering (CSEE) at the University of Maryland Baltimore County (UMBC) invites applications for a non-tenure track position at the rank of Lecturer. This full-time position begins in Fall 2022. The position may also have teaching and adThe preferred qualification is a master’s degree in computer science or a closely related discipline. Ideal candidates will also have evidence of strong organizational skills. Experience in academia, industry and government will be considered in the evaluation of the candidate. Candidates who have had a non-academic career with a demonstrated commitment to teaching are encouraged to apply and may want to emphasize their industry experience. ministrative responsibilities in the computer science program offered at The Universities at Shady Grove, in Montgomery County, Maryland.  The preferred qualification is a master’s degree in computer science or a closely related discipline. Ideal candidates will also have evidence of strong organizational skills. Experience in academia, industry and government will be considered in the evaluation of the candidate. Candidates who have had a non-academic career with a demonstrated commitment to teaching are encouraged to apply and may want to emphasize their industry experience.  The Lecturer position is renewable. Lecturers teach a wide range of courses, primarily at the undergraduate level. They advise students, mentor teaching assistants, and help shape departmental practices and policies. Lecturers are expected to continue their professional growth and will have the opportunity to be promoted through the ranks of Senior Lecturer and Principal Lecturer.    The CSEE Department  is large and growing, with a diverse community of over 2,000 undergraduate majors in computer science and computer engineering.  Professors of the Practice, along with Lecturers and a cadre of tenure-track faculty, are the driving force behind the department’s broad effort to ensure a quality education for our undergraduates: working to improve computing education, curriculum, diversity, and student support. CSEE faculty collaborate with the Center for Women in Technology to increase the diversity of those who create technology, with programs designed for women in computing and engineering and transfer students from underrepresented groups.  In addition to our undergraduate programs, the department has graduate programs in computer science, computer engineering, electrical engineering, cybersecurity and data science. Our faculty enjoy collaboration within the department, across departments, and with partners outside the university.   UMBC  is a research intensive university that is leading the world in inclusive excellence in research and teaching. We are redefining how to teach and we are one of the most innovative universities in the Nation: According to the 2021 US News and World Best Colleges Report, UMBC is ranked 6th in the Most Innovative Schools category and 6th in Best Undergraduate Teaching category. Our research is bold, cross disciplinary, and leverages our location near to the hospitals in Baltimore, NIH, NASA, NSF, and the USGS. Inclusive excellence also means being a strong community partner in Baltimore, and the UMBC Shriver Center and Center for Democracy and Civil life help forge and maintain connections. Social justice is core to our role in Baltimore, Maryland, and beyond.  Our UMBC community redefines excellence in higher education through an inclusive culture that connects innovative teaching and learning, research across disciplines, and civic engagement. We advance knowledge, economic prosperity, and social justice by welcoming and inspiring inquisitive minds from all backgrounds (http://facultydiversity.umbc.edu). To continue to support this goal, the Faculty Development Center leads the Nation in supporting and guiding faculty in their educational mission with regular workshops and pedagogical demonstrations. In the 2021 Chronicle of Higher Education Great Colleges to Work For rankings, UMBC is on the list for the 12th year in a row and is in the Honor roll for the 10th year.  UMBC’s campus  is located on 500 acres just off I-95 between Baltimore and Washington DC, and less than 10 minutes from the BWI airport and Amtrak station. The campus includes the bwtech@UMBC research and technology park, which has special programs for startups focused on cybersecurity, clean energy, life sciences, and training. We are surrounded by one of the largest concentrations of commercial, cultural and scientific activity in the nation. Located at the head of the Chesapeake Bay, Baltimore has all the advantages of modern, urban living, including professional sports, major art galleries, theaters and a symphony orchestra. The city's famous Inner Harbor area is an exciting center for entertainment and commerce. The nation's capital, Washington, DC, is a great tourist attraction with its historical monuments and museums. Just ten minutes from downtown Baltimore and 30 minutes from the D.C. Beltway, UMBC offers easy access to the region's resources by car or public transportation. UMBC is one of nine institutions represented at The Universities at Shady Grove, a consortium of universities within the University System of Maryland, located in Rockville, MD.  Application Instructions Applications  are accepted on Interfolio ( http://apply.interfolio.com/100367 ). The initial application consists of the candidate’s curriculum vitae or resume, a brief statement describing the candidate’s teaching experience and a statement describing how the candidate will contribute to UMBC’s commitment to inclusive excellence. Promising candidates will be asked to supply three letters of recommendation and teaching evaluations. Applications will be accepted until the position is filled.  Questions regarding the positions or the application process may be directed to the chair of the search committee at  jobsLEC@cs.umbc.edu .  UMBC is an Equal Opportunity/Affirmative Action Employer. The preferred qualification is a master’s degree in computer science or a closely related discipline. Ideal candidates will also have evidence of strong organizational skills. Experience in academia, industry and government will be considered in the evaluation of the candidate. Candidates who have had a non-academic career with a demonstrated commitment to teaching are encouraged to apply and may want to emphasize their industry experience. 
  • China, Tenure-track Assistant/Associate/Full Professor Recruitment Institute of Supply Chain & Analytics (ISCA), Dongbei University of Finance and Economics, Dalian, China   Job Description Institute of Supply Chain Analytics (ISCA) is one of the two university-level leading research institutes of Dongbei University of Finance & Economics (DUFE), which is one of the leading universities in China in the areas of finance, economics, management, and business analysis. In Years of 2019 and 2020, DUFE is ranked #7 among all mainland China universities in terms of top-tier (UTD24) journal paper publications in the field of supply chain management and operations management. ISCA is dedicated to conducting top-tier research on Supply Chain Management, Supply Chain Finance, Operations Management, Operations Research, Business Analytics, Big Data Analysis, Optimization, Information Systems, and related interdisciplinary fields. It boasts an excellent tenure-track faculty including Senior Editor of top-tier international journals and oversea-educated talents. ISCA currently has two master programs and one doctoral program and offers post-doctoral positions. It is the hosting organization of the Institute of Supply Chain and Operations Management (ISCOM). ISCA offers an individual spacious office and friendly working environment to each faculty member and provides one of the best administration services in the world. Recruitment information ISCA invites applications for full-time tenure-track faculty positions of all levels (Assistant / Associate / Full Professor) with interests in Business Analytics, Data Analytics, Marketing Analytics, Information Systems, Supply Chain Finance, Operations Management, and Supply Chain Management. Both theoretical and empirical studies are very welcome.     Academic Qualification: Earned a Ph.D. degree from a major research university before appointment. Applicants for assistant professor positions should have strong research capability of publishing in top-tier journals. Applicants for higher ranks should have well-qualified record of research and teaching effectiveness. Application Details If you are interested in the post, please send your Cover letter, CV, three representative research papers, contact information of three references, evidence of teaching performance (if available) to ISCAjobs@163.com & isca-hr@dufe.edu.cn (Please send your application to both mailboxes, ensuring that we don't miss anything).     Benefits for a successful applicant ISCA will provide very competitive salary, relocation fund, accommodation allowance, start-up research fund, fringe benefits, and a very competitive incentive policy. A publication in top-tier journals will significantly boost annual salary. The Remuneration Package will be commensurate with qualifications and experience.     Contact Person Ms. Liu      Email: ISCAjobs@163.com & isca-hr@dufe.edu.cn (Please send your application to both mailboxes, ensuring that we don't miss anything)   Links to the video on TENCENT about us: https://v.qq.com/x/page/l3164ry3dr4.html
  • Kirchberg, Luxembourg, The Department of Economics and Management of the Faculty of Law, Economics and Finance of the University of Luxembourg (UL) is looking for a Postdoctoral researcher to conduct research in operations research / operations management .   Your Role... The post-doctoral researcher will be working within the Luxembourg Centre for Logistics and Supply Chain Management (LCL) and support the newly established  Computational and Visual Education (CAVE) Lab.  In particular, the post-doctoral researcher will be in charge of: Publication of articles in scientific journals in the area of OR/OM Supporting industry-oriented research as well as outreach activities Prototyping interactive dashboards that visualise outputs of decision models developed at the CAVE Lab as well as guiding software developers in the process   In Short... Contract Type: 24-months fixed term contract (extendable) Work Hours: Full-time position, 40h / week.  Location: Kirchberg Foreseen starting date: September 2022 (negotiable) Job Reference: UOL04982 The yearly gross salary for every Postdoctoral researcher at the UL is 77 167,08 � (full time) In particular, we offer: An exciting international and multilingual research environment Excellent facilities including personal work space at the University Travel opportunities for training and learning For more information concerning this position, please contact Professor Nils Löhndorf ( nils.loehndorf@uni.lu ). How to apply... Applications should be submitted online and include: A  motivation letter  with a description of research interests and plans for the coming two years (2 pages max) An  academic CV  including publications, conference presentations, etc. A copy of the  PhD diploma  or a letter indicating the expected defense date Copy of a publication  with the applicant as lead author Link to a  git repository  that demonstrates ability to code The  name of two references , their current position and relationship to the applicant We encourage early application. To ensure full consideration, candidates should apply by  May 31, 2022 . Please apply formally through the HR system. Applications by email will not be considered. The University of Luxembourg embraces inclusion and diversity as key values. We are fully committed to removing any discriminatory barrier related to gender, and not only, in recruitment and career progression of our staff.   About us... The  University of Luxembourg  is an  international research  university with a distinctly  multilingual  and  interdisciplinary  character. The University was founded in 2003 and counts more than 6,700 students and more than 2,000 employees from around the world. The University’s faculties and interdisciplinary centres focus on research in the areas of Computer Science and ICT Security, Materials Science, European and International Law, Finance and Financial Innovation, Education, Contemporary and Digital History. In addition, the University focuses on cross-disciplinary research in the areas of Data Modelling and Simulation as well as Health and System Biomedicine. Times Higher Education ranks the University of Luxembourg #3 worldwide for its “international outlook,” #20 in the Young University Ranking 2021 and among the top 250 universities worldwide. The  Faculty of Law, Economics and Finance  offers three Bachelor programmes, four Master programmes of Management and Economics and six Masters of Laws (LL.M.), as well as several continuing education courses. It also includes the Doctoral School in Law and the Doctoral School in Economics and Finance. Around  2,500 students  from  90 different nationalities  are enrolled at the Faculty. Academic staff from 18 different nationalities teach at the Faculty, supported by practitioners from the field, visiting scholars and guest professors. Rooted in Luxembourg but with a  European and international outlook , the Faculty counts three departments: Department of Law Department of Economics and Management (DEM) Department of Finance Teaching and research benefit from the proximity of the European institutions, Luxembourg’s world-class financial centre ranked second in the world in investment fund asset domicile, and its vibrant business community. Institutional and private sector partnerships, sponsored Chairs, and a growing network of international partner universities make the FDEF a  vibrant academic hub within the University at the heart of Europe . Find out more about the FDEF Find out more about the University Addresses, maps & routes to the various sites of the University   Apply here: http://emea3.mrted.ly/329r8   Qualifications... We are looking for a candidate with a PhD in operations research, operations management, industrial engineering, or related domains. In particular, the following requirements apply: Strong interest in operations management and use of  data, algorithms, and computational techniques  for modeling problems in operations management Strong  data science and machine learning skills Proven ability to autonomously conduct research at a post-doctoral level Proven ability to work individually as well as part of a team Willingness to evolve in a multilingual environment:  fluency in English  is a must; knowledge of French or German will be considered an advantage Excellent communication and writing skills  

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