Support the development and evaluation of advanced functional materials and processes for printed electronics in Henkel’s Düsseldorf laboratory
Compensation
We offer you an attractive salary between €1.050-2.385 gross per month. The exact amount of the remuneration depends on the desired duration, the type of internship (voluntary or mandatory) and existing degrees.
Responsibilities
Support the development and evaluation of advanced functional materials and processes for printed electronics in Henkel’s Düsseldorf laboratory
Contribute to Application Engineering projects aimed at improving the performance, reliability, and robustness of printed electronic solutions for industrial applications
Conduct hands‑on laboratory experiments, including sample preparation, experimental testing, and electrical and material characterization
Systematically analyze experimental data and investigate structure–property relationships to understand the impact of materials, interfaces, and environmental conditions on system performance
Collaborate with global Application Engineering experts on projects supporting customer applications and internal technology development
Requirements
Student currently enrolled in a Master's program in engineering or a closely related field
Nice to have: Exposure to RF measurements or impedance analysis
Design, develop, and maintain scalable data pipelines and Big Data solutions on Microsoft Azure and related platforms.
Responsibilities
Design, develop, and maintain scalable data pipelines using PySpark, Spark SQL, Python, SQL, and Azure Synapse Analytics.
Build and optimize ETL/ELT workflows for large-volume structured, semi-structured, and unstructured data processing.
Develop and support Azure Synapse pipelines, notebooks, SQL scripts, stored procedures, views, and data transformation logic.
Work with Azure Data Lake Storage Gen2, Azure Data Factory, Azure Databricks, Azure SQL Database, and related Azure data services.
Develop and support Big Data solutions using technologies such as Apache Spark, Hadoop, HDFS, Hive, Sqoop, Kafka, HBase, and related distributed data processing components.
Collaborate on and evolve the motion-control architecture for next-generation Abi robots
Design, implement, tune, and validate control loops, trajectory generation, motion profiles, filtering, calibration, and actuator limits
Translate high-level movement and expressive-behaviour intent into reliable, physically achievable trajectories and control commands
Develop robust interfaces between motion controls, embedded firmware, motor controllers, ROS/ROS2, autonomy, perception, and higher-level behaviour systems
Help migrate latency-sensitive and safety-critical control functions from edge compute onto microcontrollers and real-time operating systems
Requirements
Bachelor’s degree in Robotics, Mechatronics, Electrical Engineering, Mechanical Engineering, Computer Science, or a related field, or equivalent practical experience
Nice to have: microcontrollers
Nice to have: RTOS-based firmware
Nice to have: migrating control functions from Linux to embedded hardware
You fight fraud by analysing transactional data, developing and deploying machine learning models, and collaborating with cross-functional teams to integrate fraud detection systems.
Responsibilities
Partner with teams to architect scalable data science solutions
Conduct research to incorporate advancements in algorithms and generative AI into defense systems
Master data orchestration by preparing, augmenting, and combining diverse data types to build high-fidelity training datasets
Design, train, and fine-tune model architectures using GNNs, Transformers, LLMs, and Gradient Boosted Trees
Lead end-to-end lifecycle of models from production deployment to performance monitoring
Requirements
Bachelor's degree in Computer Science, Physics, Statistics, Mathematics, Engineering, Economics, or related quantitative field
Apply strategic consulting, applied research, and structured problem‑solving to complex people and organisational challenges, building AI systems and agents that automate People Science workflows and advising leaders on real problems.
Responsibilities
Build an organisational listening and action engine using employee listening, workforce, behavioural, and operational data to identify signals, diagnose root causes, and guide action.
Build user‑centric AI systems and agents that automate People Science workflows, from data discovery and analysis to hypothesis testing, programme evaluation, insight generation, and recommendations.
Conduct applied organisational research using qualitative and quantitative methods, including surveys, interviews, experiments, and mixed‑method approaches.
Design hypotheses and evaluate People programmes or interventions using appropriate research, experimental, or quasi‑experimental methods.
Act as a strategic advisor to People and business leaders by framing ambiguous problems, conducting analysis, evaluating options, and translating evidence into practical decisions.
Senior Signal Integrity Engineer responsible for ensuring performance and reliability of high-speed SerDes IP across silicon, package, and board levels.
Responsibilities
Provide implementation guidelines and feedback to silicon, package, board, and system design teams.
Design and simulate high-speed SerDes signals and perform co-simulation of package and PCB in HFSS.
Conduct feasibility studies, design verification, and sign-off processes, including lab correlation.
Work closely with backend, package, and board design teams for bump-out and ball-out optimization.
Drive chip-package-PCB co-design of SerDes at 112Gbps and beyond, ensuring signal integrity best practices.
Requirements
M.Sc. or Ph.D. in Electrical Engineering, Electromagnetics, Physics, or a relevant related field.
Nice to have: Familiarity with networking technologies and high-speed connectivity solutions
Nice to have: strong analytical and problem-solving skills
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