Your first step into practice.

In your studies, you are often only taught theoretical knowledge. We show you how to put your knowledge into practice. Benefit from the experience and expert knowledge of your colleagues, develop innovative solutions together as a team and build your own network and expertise.

Our employees are pioneers in digitization

What are you interested in?

Are you looking for a working student job or a competent supervisor for your thesis? Then you’ve come to the right place! We offer you an exciting and diverse environment in an international and interdisciplinary team of digitization experts, AI trainers, developers, incubation managers and many more.

Drive innovative digitalization topics together with us and let’s shape the digital future together.

Working student job

We offer you more than just a part-time job. With us, you will learn to take responsibility from the very beginning and to contribute and implement your own ideas. We promote creativity, independence and innovative thinking and thus prepare you ideally for the working world.

Current Top Jobs

Working student – Digital Twin, IIoT & Industry 4.0 (m/f/d)
Working student – Junior Projectmanager Digitization (m/f/d)
Working student – Digital Learning (m/f/d)

Thesis

With us, your thesis is guaranteed not to end up in a drawer: Make a valuable contribution to the future of digitization and write your thesis as part of a practical and innovative project. You will be supported by our interdisciplinary and international team and get exciting insights into the exploitation-oriented research at the August-Wilhelm Scheer Institute.

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Roboter in der Pflege

Below you will find some suggestions for topics, which we will be happy to develop further in discussion with you and adapt to your personal ideas, skills and competencies. If you have your own suggestions for thesis topics, you can of course contact us with them.

If you have any further questions, we will be happy to help you by phone or e-mail at karriere@aws-institut.de.

Assistance robots in healthcare - the challenge of human-robot interaction

Idea: The focus of this thesis is on human-robot interaction. The goal of this thesis is to investigate interaction possibilities to support clinical care as well as their coupling to a service robot. The use of different human-robotics components will be investigated and analyzed by means of a study in the field of nursing. The challenges for the nursing staff play a central role as well.

Previous experience: Analytical skills, interest in human-robotics interaction.

Study programs: Business administration, business informatics or related study programs with focus on data science, human-machine interaction or artificial intelligence

Thesis: Bachelor thesis

Human-Robot Interaction - Development of a Software Service for the Multiple Control of an Assistance Robot in Healthcare

Idea: Our project “HoLLieCares” is about the development of a healthcare robot, which should support simple and more demanding fields of work in nursing. The collaboration between humans and robots is a special challenge. The goal is the full stack development of a software service for the coupling of touch, speech, gesture and brain interfaces, which enables the multiple control of the robot.

Previous experience:
Good knowledge of JavaScript, TypeScript, HTML and CSS.
Practical experience in working with relational as well as document-based database systems
Experience working with frameworks such as Angular, Express.js, Node.js or Mongoose is an advantage

Study programs: Computer science, business informatics or related courses of study with a focus on human-machine interaction or artificial intelligence

Thesis: Master thesis

Impact of collaboration and immersion in VR worlds in healthcare

Idea: Virtual Reality has achieved positive results in many areas, e.g. in various forms of therapy, training of surgeons or viewing of imaging procedures. The thesis will develop a collaborative and immersive VR environment to study the effects of immersive procedures (haptic gloves/suits, retina display VR goggles, locomotion with motion hardware) and collaborative interactions in relevant healthcare settings (bpsw. confrontation therapy). The developed environment will thus be used to evaluate the impact of immersion and collaboration in the selected healthcare domain.

Prior Knowledge:
Analytical skills
3D and/or VR development (e.g. Unity or Unreal Engine)
Good knowledge of C#/C++ or general OOP.

Study programs: Computer Science, Human Computer Interaction and related courses of study

Thesis: Master thesis

Identification and extraction of unique process identifiers

Idea: Desktop activity mining captures the execution of digital processes. Unique process identifiers (UPI) are to be identified and classified in these recorded sequences. This means that for a recorded business process of invoicing, for example, the document number of the invoice can be regarded as a unique identifier. Process identifiers thereby identify a unique sequence of sub-processes of an overall process execution.

Prior knowledge: AI algorithms

Study programs: Computer science or mathematics with focus on AI

Thesis: Bachelor or Master thesis

Optimization of (overall) processes (graph optimization)

Idea: A process is represented in the desktop activity mining application by means of a directed graph. Several execution instances of a process are combined in one graph. The goals of the thesis are, on the one hand, to determine the optimal execution path and, on the other hand, to identify optional/unnecessary process activities

Prior Knowledge: AI algorithms, graph theory

Study programs: Computer Science or Mathematics

Thesis: Bachelor or Master thesis

Development of methods for the classification of digital activities captured via desktop activity mining

Idea: Digital processes are captured by means of desktop activity mining at event level, i.e. input level of mouse and keyboard. Desktop activity mining also captures the applications used and the user’s interaction with them. Typical activities, such as retrieving emails, defined business processes (e.g., invoicing), etc., are to be recognized and classified within the entire recording here.

Prior Knowledge: AI algorithms

Study programs: Computer science or mathematics with focus on AI

Thesis: Bachelor or Master thesis

Process recognition based on the recording of individual process heterogeneous sub-process activities

Idea: Digital processes are captured by means of desktop activity mining at event level, i.e. input level of mouse and keyboard. Desktop activity mining also captures the applications used and the user’s interaction with them. Individual process executions are to be automatically detected in a longer interaction record containing multiple executions of different processes. Similarly, individual process steps shall be extracted automatically.

Prior Knowledge: AI algorithms

Study programs: Computer science or mathematics with focus on AI

Thesis: Bachelor or Master thesis

Conceptual design of new business models for the trading of micro-flexibilities in the low-voltage grid

Idea: The goal is to develop a business model for trading (micro) flexibilities in the low-voltage grid. The participants are the prosumer/flexsumer households on the one hand and the grid operator or supplier on the other. One challenge is to encourage households to participate in economically driven trading instead of using their own flexibility potential for self-optimization. Thus, the business model must provide economic incentive points for the prosumer/flexsumer households, but at the same time must be economically profitable for the grid operator/utility to avoid resorting to traditional grid reinforcement mechanisms.

Prior Knowledge: Knowledge of framework conditions, restrictions and business models in the energy industry.

Study programs: Business administration, business informatics, industrial engineering, renewable energies or similar.

Thesis: Bachelor thesis

Software realisation of a NILM demonstrator

Idea: The aim of the work is the software implementation and completion of a demonstrator in the field of non-intrusive load monitoring (NILM). At the beginning of your work, you will be familiarised with the already existing hardware solution of the demonstrator, which is able to record the load profiles of connected consumers. Your task will be to read out the installed IoT gateway and organise the data in a suitable cloud-based database and analyse it using NILM algorithms.

Prior Knowledge: Knowledge of common programming languages, especially C# and Python; experience in data analysis and basic knowledge of electrical engineering.

Study programs: Computer science, electrical engineering, renewable energies or comparable courses of study

Thesis: Bachelor thesis

Apply now for a thesis!

What to expect at the August-Wilhelm Scheer Institute.

Innovative projects.
With us you work on topics that really make a difference. Our work does not end up in a drawer, but is implemented together with partners from the business world.

Opportunities for takeover.
We hire people because we are convinced of their personality. If you can prove yourself with us, nothing stands in the way of a possible takeover.

Independent working method.
Many roads lead to the goal and you determine this path yourself. With us, you learn to take responsibility early on and to implement your own ideas.

Work at eye level.
We count on your ideas and are looking for real team players. In our international and interdisciplinary team we can achieve a lot together.

Flexible working hours.
When and how much you work is up to you. You can arrange your working hours flexibly and thus combine study and work in an optimal way.

Campus proximity.
The proximity to the campus of Saarland University and TU Clausthal offers short working distances, good transport connections and a short way to the cafeteria.

Estella Kirsch, previously Junior Researcher, now Digitization Associate in the field of incubation

“The institute offers me the opportunity to contribute my own ideas and take on responsibility. In the exciting environment, I can develop both personally and professionally.”

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Estella Kirsch
alec kosedowski_zugeschnitten

Alec Kosedowski, Junior Researcher in our Digital Processes Lab

“At the August-Wilhelm Scheer Institute, I find a very good balance between my studies and gaining practical experience on highly interesting topics and state-of-the-art technologies. This is possible in particular due to the flexibility and personal responsibility that is given right from the start.”

Zubayr Khalid, Junior Researcher in our Smart Energy Lab

„The August-Wilhelm Scheer Institute has offered me to work on interesting projects with demanding technologies such as blockchain. I particularly am loving how my technical skills are growing over the times I am spending at the institute.“

Portrait Mitarbeiter Zubayr Khalid
johanna-kraemer

Johanna Krämer, Working Student in our Public Relations & Design Team

“The open, independent and flexible working culture gives me the freedom to gain intensive experience in the field of online marketing/ in everyday working life during my studies. I can develop and evolve here according to my interests and abilities. Every working day is different, exciting and challenging in a positive way. As a working student, you are valued and integrated into the team. The possibility to work in a home office is definitely a bonus.”

Jonas Halberstadt, Junior Researcher in the Digital Consulting & Smart Services Lab

“My working student position at the institute offers me the opportunity to both gain valuable practical experience in my area of focus and to look into new subject areas. Working students are always given the freedom to contribute their own ideas and be creative. You can quickly take on tasks under your own responsibility and thus develop a steep learning curve in a short time. The work is characterized by a high degree of flexibility, flat hierarchies, very good supervision and a pleasant working atmosphere.”

Jonas Halberstadt

Your contact.

kristin-stoffel

Kristin Stoffel

Human Resources

Tel: +49 (0)681 96777-535

michelle-zell-min

Michelle Zell

Human Resources

Tel: +49 (0)681 93511-305