Internship : Applied Quantum Optimization Research

Position: Internship Opportunity: Applied Quantum Optimization Research
Location: Zürich

Job Title

Internship Opportunity:
Applied Quantum Optimization Research

Job

137372

City / Township / Village

Rueschlikon

State / Province

Zurich

Country

Switzerland

Work arrangement

Hybrid

Area of work

Research

Employment type

Intern (Fixed Term)

Position type

Internship

Travel required

No Travel

Company

(1084) IBM Research GmbH

Shift

General (daytime)

Is this role a commissionable/sales incentive based position?

No

QUANTUM ROLE CONTEXT | Appended by Quantum.

Jobs v2

Role context:

This research internship role exists to explore, test, and refine mathematical algorithms designed for quantum optimization applications. Situated within an industrial research environment, the position supports senior scientists by executing numerical experiments, formulating specialized problem models, and evaluating algorithmic performance. By bridging mathematical theory and practical software prototypes, the role accelerates the exploration of complex computational workflows, allowing research teams to identify viable algorithmic strategies, benchmark efficiency, and refine theoretical models before enterprise implementation.

Quantum

ecosystem relevance:

Applied quantum optimization research directly addresses key computational challenges across logistics, finance, and industrial design. By testing quantum algorithms on practical constraints, this role contributes to the development of useful quantum software tools and hybrid classical-quantum solver methodologies. Advancements generated in these research positions help demonstrate practical utility, identify hardware limitations, and lay the foundation for eventual commercial value in enterprise-level quantum applications and operational software workflows.

Capability

signals:

• Academic foundation in applied mathematics, quantum computing, operations research, or theoretical computer science
• Proficiency in programming languages commonly used for algorithmic modeling and scientific computing
• Experience implementing numerical simulations, optimization heuristics, or mathematical problem formulations
• Ability to analyze technical research literature and extract key methodologies for testing
• Strong technical communication skills for documenting research findings and collaborating with teams