PhD Student – Multi-Objective Optimization, Additive Manufacturing

Jobtailor; Wolfsburg; Vor Ort; EUR 52.000 - 70.000; Vollzeit

Zusammenfassung

Jobtailor in Wolfsburg, Germany, seeks a researcher to advance multi-objective optimization methods for additive manufacturing. The role focuses on integrating design, simulation, and manufacturing to develop holistic methodologies and validate them through practical applications using LEOPARD and other tools.

The candidate should hold or be eligible for doctoral studies, possess strong analytical skills, and demonstrate an independent, structured approach to work.

Qualifikationen

• Good to very good university degree qualifying for doctoral studies in mechanical engineering, automotive engineering, production engineering, computational engineering, mechatronics, or a comparable field.
• Knowledge of design, simulation, optimization, or additive manufacturing.
• Interest in scientific research and complex technical challenges.
• Excellent analytical skills.
• Independent, structured approach to work.
• German or English language level B1.
• Confirmation of supervision by a professor.
• Confirmed delimitation of topics by a professor of a university or research institution entitled to confer a doctorate.
• Experience with CAE methods, numerical simulation, or optimization software is stated as ideal, not required.

Aufgaben

• Demonstrates expertise in multi-objective optimization methods for additive manufacturing, integrating simulation and manufacturing requirements while validating approaches through practical applications.
• Proficient in design, simulation, and optimization with a strong analytical mindset and structured work approach.

Kenntnisse

Design

Simulation

Optimization

Additive Manufacturing

Analytical Skills

Independent Work

Structured Approach

Ausbildung

Doctoral studies eligibility

Supervisor confirmed by professor

Tools

GI-MDTO

COMSOL Multiphysics

Synera

LEOPARD

Jobbeschreibung

• Research and develop novel multi-objective optimization methods for additive manufacturing
• Analyze the potential and limitations of existing optimization tools and methods, including GI-MDTO, COMSOL Multiphysics, and Synera
• Develop new design methodology approaches for interdisciplinary functional integration
• Advance simulation-based methods for multi-objective optimization
• Integrate optimization, simulation, and manufacturing requirements into a holistic methodology
• Validate developed approaches through practical applications using LEOPARD and selected additive manufacturing processes
• Create multidisciplinary, functionally integrated components while considering technical and manufacturing constraints
• Contribute to reducing development and cycle times and increasing production-equipment efficiency

Requirements

• Good to very good university degree qualifying for doctoral studies in mechanical engineering, automotive engineering, production engineering, computational engineering, mechatronics, or a comparable field
• Knowledge of design, simulation, optimization, or additive manufacturing
• Interest in scientific research and complex technical challenges
• Excellent analytical skills
• Independent, structured approach to work
• German or English language level B1
• Confirmation of supervision by a professor
• Confirmed delimitation of topics by a professor of a university or research institution entitled to confer a doctorate
• Experience with CAE methods, numerical simulation, or optimization software is stated as ideal, not required

Core Competencies

Demonstrates expertise in multi-objective optimization methods for additive manufacturing, integrating simulation and manufacturing requirements while validating approaches through practical applications. Proficient in design, simulation, and optimization with a strong analytical mindset and structured work approach.

Highest-signal resume keywords

• Multi-Objective Optimization
• Additive Manufacturing
• Simulation-Based Methods
• CAE Methods
• Numerical Simulation

ATS Optimization Keywords

Hard Skills

• Optimization Methods
• Design Methodology
• Analytical Skills
• Interdisciplinary Integration
• Technical Constraints Analysis

Soft Skills

• Independent Work
• Structured Approach
• Interest in Scientific Research

Certifications & Qualifications

• Doctoral Studies Qualification
• Confirmation of Supervision by Professor

Industry Keywords

• Mechanical Engineering
• Automotive Engineering
• Production Engineering
• Computational Engineering
• Mechatronics

Tools & Technologies

• GI-MDTO
• COMSOL Multiphysics
• Synera
• LEOPARD