Auf einen Blick
- Aufgaben: Join us as a Research Assistant to develop simulation models for fiber reinforced polymers.
- Arbeitgeber: IVW is a leading institute in composite materials, pushing the boundaries of innovation.
- Mitarbeitervorteile: Enjoy flexible hours, competitive pay, health days, and a variety of training programs.
- Warum dieser Job: Work on cutting-edge research with a chance to pursue a doctorate in a collaborative environment.
- Gewünschte Qualifikationen: You need a technical degree, motivation, and some knowledge in computational science and machine learning.
- Andere Informationen: We value diversity and encourage applications from all backgrounds, including those with disabilities.
Das voraussichtliche Gehalt liegt zwischen 36000 - 60000 € pro Jahr.
Research Assistant (m/f/d)
Competence Field "Digitalized Process & Material Development"
The Leibniz-Institut für Verbundwerkstoffe (IVW) GmbH is one of the world's leading institutions in the field of composite materials. We investigate and develop the entire value chain of composites "from the scientific fundamentals to the component". To strengthen our team we are looking for an employee for the competence field "Digitalized Process & Material Development".
Your tasks
The competence field "Digitized Process & Material Development" deals, among other things, with approaches for predicting material properties of fiber reinforced polymers by means of simulation. For this, simulation models are developed that reproduce the structural material composition of fibers and polymer matrix. The realistic modeling of structures is a critical challenge, which will be addressed at the IVW by novel approaches. Your research tasks include the intelligent combination of computer-based modeling, 3D X-ray microscopy and, in particular, machine learning approaches. Within the framework of a publicly funded research project, you will cooperate with an industrial company (simulation software). You will have the possibility to do a doctorate.
Your profile
- High motivation, initiative and ability to work in a team
- Independent working method
- Communication and organizational skills
- Basic knowledge in computational science (esp. machine learning, (material) simulation)
- Technical/scientific university degree with an above-average level of achievement
Our offer
- Cooperation in national and international as well as multidisciplinary teams
- Flexible working time models (Work-Life-Balance)
- Remuneration in line with the public sector, including the usual social benefits and the possibility of a company pension plan as well as a subsidy for capital-forming payments
- A varied further training program
- A wide range of sports and leisure activities
- Health days and a company integration management system
IVW is committed to the employment of people with disabilities: Applications from severely disabled persons and their equals are given preferential consideration if they are suitable. IVW sees itself as a modern and cosmopolitan employer. We welcome your application regardless of your age, gender, cultural and social background, religion, ideology, disability or sexual identity. We promote gender equality.
For further information contact PD. Dr.-Ing. habil. David May, E-Mail: david.may(at)ivw.uni-kl.de - Phone: 0631/2017-400
Please send your electronic application to: personalwesen(at)ivw.uni-kl.de
Research Assistant Arbeitgeber: Leibniz-Gemeinschaft
Kontaktperson:
Leibniz-Gemeinschaft HR Team
StudySmarter Bewerbungstipps 🤫
So bekommst du den Job: Research Assistant
✨Tip Number 1
Make sure to familiarize yourself with the latest trends in machine learning and material simulation. This will not only help you understand the role better but also give you a solid foundation to discuss during your interview.
✨Tip Number 2
Network with professionals in the field of composite materials and digitalized processes. Attend relevant workshops or webinars to connect with potential colleagues and gain insights into the industry.
✨Tip Number 3
Prepare to showcase any relevant projects or research you've done, especially those involving computational science or machine learning. Being able to discuss your hands-on experience can set you apart from other candidates.
✨Tip Number 4
Research the Leibniz-Institut für Verbundwerkstoffe and their recent projects. Understanding their work and how your skills align with their goals will demonstrate your genuine interest in the position.
Diese Fähigkeiten machen dich zur top Bewerber*in für die Stelle: Research Assistant
Tipps für deine Bewerbung 🫡
Understand the Role: Make sure to thoroughly read the job description for the Research Assistant position. Understand the key responsibilities, especially around simulation models and machine learning approaches, as this will help you tailor your application.
Highlight Relevant Experience: In your CV and cover letter, emphasize any experience you have with computational science, machine learning, or material simulation. Provide specific examples of projects or coursework that demonstrate your skills in these areas.
Craft a Strong Cover Letter: Write a personalized cover letter that showcases your motivation and initiative. Discuss why you are interested in the position at IVW and how your background aligns with their focus on digitalized process and material development.
Follow Application Instructions: Ensure you send your application to the correct email address (personalwesen(at)ivw.uni-kl.de) and include all required documents. Double-check for any specific instructions mentioned in the job posting to avoid missing anything important.
Wie du dich auf ein Vorstellungsgespräch bei Leibniz-Gemeinschaft vorbereitest
✨Show Your Passion for Research
Make sure to express your enthusiasm for the field of composite materials and digitalized processes. Share any relevant projects or experiences that highlight your motivation and initiative in research.
✨Demonstrate Technical Knowledge
Be prepared to discuss your understanding of computational science, especially in machine learning and material simulation. Bring examples of how you've applied these concepts in previous work or studies.
✨Highlight Teamwork Skills
Since collaboration is key in this role, share experiences where you successfully worked in multidisciplinary teams. Emphasize your communication and organizational skills to show you can thrive in a team environment.
✨Ask Insightful Questions
Prepare thoughtful questions about the research projects at IVW, particularly regarding the integration of machine learning and simulation models. This shows your genuine interest in the position and helps you understand the role better.
