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Research Associate (Wissenschaftliche:r Mitarbeiter:in) - Job Opportunity at Universität Hamburg

Hamburg, Germany
Part-time
Entry-level
Posted: January 16, 2025
On-site
EUR 45,000 - 55,000 per year (based on TV-L E13 75% position in German academic system)

Benefits

Competitive public sector pension plan (VBL) with employer contributions
Research-focused flexible working hours arrangement
30 days annual vacation with additional educational leave options
Comprehensive health management program including EGYM Wellpass
Work-life balance initiatives with family-friendly policies
Professional development and academic career advancement opportunities

Key Responsibilities

Lead and conduct independent research in Operations Research and Choice-Based Optimization within Supply Chain Management
Deliver high-quality teaching and student supervision for 3 semester hours per week
Pursue doctoral research with dedicated time allocation (minimum 1/3 of working hours)
Contribute to institute's research projects in logistics and supply chain management
Develop and implement quantitative empirical approaches in Operations Research

Requirements

Education

Master's degree in Operations & Supply Chain Management or related field

Required Skills

Advanced knowledge of data-driven integration of discrete choice models Mathematical optimization expertise Comprehensive Python programming skills GAMS knowledge (preferred) Model-based inventory optimization experience (preferred) Teaching assistant experience (preferred)
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Sauge AI Market Intelligence

Industry Trends

Integration of behavioral economics with traditional operations research is reshaping supply chain optimization approaches Rising demand for experts who can bridge quantitative modeling with practical business applications Increasing focus on sustainability and resilience in supply chain research

Role Significance

Typically part of a research group of 4-8 members under a full professor
Junior academic position with significant research autonomy and teaching responsibilities

Key Projects

Doctoral research in choice-based optimization Supply chain optimization model development Collaborative research initiatives with industry partners Teaching and student mentorship programs

Success Factors

Strong foundation in mathematical modeling and optimization techniques Ability to balance research, teaching, and doctoral studies effectively Publication potential in high-impact academic journals Capacity to translate complex quantitative concepts into practical applications

Market Demand

High demand with growing emphasis on quantitative supply chain optimization skills in both academia and industry

Important Skills

Critical Skills

Advanced mathematical optimization skills for developing novel supply chain solutions Python programming expertise for implementing complex optimization models Research methodology and academic writing capabilities

Beneficial Skills

Industry collaboration experience Grant writing abilities International research network development

Unique Aspects

Combination of academic research with practical supply chain applications
Excellence cluster affiliation offering enhanced research opportunities
Strong focus on quantitative methods in supply chain management

Career Growth

3-5 years typical duration for doctoral completion with potential academic or industry progression thereafter

Potential Next Roles

Post-doctoral researcher Assistant Professor Industry Research Scientist Supply Chain Analytics Lead

Company Overview

Universität Hamburg

Leading German research university with excellence status and strong international reputation

Among top-tier German universities with significant research funding and academic influence
Major academic institution in Hamburg with strong industry connections in Northern Germany
Research-focused environment emphasizing academic freedom and collaborative innovation
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