Postdoctoral Associate, Operations Management and Strategy

University at Buffalo; Buffalo (NY); On-site; USD 65,000 - 75,000; Full time

Job summary

The University at Buffalo's Center for Supply Chain Analytics is seeking a Postdoctoral Associate to develop a research agenda and produce outputs including research articles, reports, and analyses for two major projects. The role supports NY SMART I-Corridor and cross-border supply chain initiatives and involves supervision, collaboration, and potential teaching duties.

The position emphasizes study design, data management, and dissemination of findings, with travel across the Northeastern

Qualifications

• PhD in a related field prior to start date.
• Strong background in supply chain analytics, operations management, or related discipline.
• Experience with data analytics and research methods.

Responsibilities

• Conceptualization of research agenda.
• Research design.
• Data acquisition, cleaning and analysis.
• Preparation and presentation of research outputs.
• Travel within the Northeastern United States and Canada.
• Participation in project administration, events and reporting.

Skills

Research design

Data analysis

Machine learning

Academic writing

Teaching

Education

PhD in related field

Tools

Python

R

SQL

Job description

The University at Buffalo School of Management’s Center for Supply Chain Analytics seeks a Postdoctoral Associate to join our team and develop a research agenda leading to production of research articles, project reports, analysis reports, and other outputs related to two projects.

NY SMART I-Corridor -

As an official awardee of the New York Semiconductor Manufacturing and Research Technology Innovation Corridor (NY SMART I-Corridor) Tech Hub initiative, the Center for Supply Chain Analytics leads the Supply Chain Activation Network (SCAN) project to expand participation of businesses in the region as suppliers to the semiconductor industry. The goal is to promote inclusive economic growth in the region and the development of a diverse and resilient supply chain for the semiconductor industry while establishing a globally leading semiconductor cluster that designs and delivers semiconductor solutions for the region, the nation, and the world.

Center of Excellence for Cross-Border Supply Chains -

The center’s team will conduct multiple research projects aiming to advance the state of the science regarding cross-border supply chains and operations management. For example, investigating costs and benefits related to the adoption of state-of-the-art technologies that permit tracking and chain of custody. The team will also explore machine learning and artificial intelligence-driven approaches to industry challenges, such as warehouse management, ocean freight optimization, and reshoring high-technology industry sectors such as semiconductors and electric vehicles. Furthermore, the team will develop predictive tools to anticipate the impact of global events on supply chains and logistics.

Responsibilities

• Conceptualization of research agenda


• Research design


• Data acquisition, cleaning and analysis


• Preparation and presentation of research outputs


• Travel within the Northeastern United States and Canada


• Participation in project administration, events and reporting

Additionally, the candidate chosen may be assigned courses to teach in the Operations Management and Strategy area, for which additional compensation would be provided.

Dr. Milind Sohoni, chair of the Operations Management and Strategy department, and faculty director of the Center for Supply Chain Analytics, will serve as the primary supervisor. Jennifer Flagg, executive director of the Center for Supply Chain Analytics will provide additional supervision and direction.

Learn More

• Our benefits, where we prioritize your well-being and success to enhance every aspect of your life.


• Being a part of the University at Buffalo community.

As an Equal Opportunity / Affimative Action employer, the Research Foundation will not discriminate in its employment practices due to an applicant’s race, color, religion, sex, sexual orientation, gender identity, national origin and veteran or disability status.