Job Overview:

We are seeking a dedicated and organized Research Assistant to support research projects in supply chain management and project management. The successful candidate will collaborate with faculty members to contribute to cutting-edge research, data analysis, and project planning in these critical business domains. This role offers valuable exposure to academic research and practical applications in supply chain and project management.

Key Responsibilities:

• Assist in gathering, organizing, and analyzing data for supply chain and project management research.
• Conduct literature reviews on topics related to supply chain optimization, project management best practices, and other relevant fields.
• Support the development and testing of research models and frameworks for both supply chain and project management initiatives.
• Assist in preparing reports, presentations, and research papers.
• Contribute to academic writing, including drafting sections of research papers and editing manuscripts.
• Collaborate on research design, experiments, and simulations to test supply chain and project management theories.
• Prepare research documents for academic and industry conferences, including visual aids and data visualizations.
• Track project milestones, schedules, and deliverables in ongoing research projects.
• Support faculty in writing grant proposals and securing research funding.

Qualifications:

• Bachelor’s or Master’s degree in Supply Chain Management, Project Management, Business Analytics, or a related field.
• Proficiency in data analysis tools (e.g., Python, R, Excel) and project management software.
• Strong understanding of supply chain management concepts and project management methodologies.
• Excellent analytical, problem-solving, and organizational skills.
• Strong verbal and written communication skills.
• Ability to work independently and in a team-oriented environment.

Preferred Skills:

• Experience in conducting academic research or working with large datasets.
• Knowledge of supply chain optimization techniques and project management frameworks (e.g., Agile, Waterfall).
• Familiarity with academic writing and peer-reviewed publication processes.
• Prior experience with research in supply chain and/or project management fields.

How to Apply:

Interested candidates should submit a resume and cover letter to raja.khalid@lums.edu.pk by 30 September 2024.