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- Aufgaben: Dive into optimization with partial differential equations and variational inequalities.
- Arbeitgeber: Join WIAS Berlin, a leading institute in applied mathematics and optimization research.
- Mitarbeitervorteile: Enjoy a collaborative environment and the chance to work on cutting-edge research.
- Warum dieser Job: Perfect for those passionate about math, machine learning, and making an impact in research.
- Gewünschte Qualifikationen: Ideal candidates have a background in optimization, PDEs, or related fields.
- Andere Informationen: Position is open immediately and will remain until filled.
Das voraussichtliche Gehalt liegt zwischen 36000 - 60000 € pro Jahr.
Research Assistant Position at WIAS Berlin, Germany
Job Title
Research Assistant Position (f/m/d) (Ref. 23/28) at WIAS Berlin, Germany
Closing Date: The advertisement is open with immediate effect and will remain open until the posi-tion will be filled.
Optimization with partial differential equations and variational inequalities. The holder of the position is qualified in a modern field of optimization with partial differential equations. Of particular interest are non-smooth coupled systems and data-driven (e.g. machine learning) ap-proaches to modeling and optimization, variational problems in mathematical image pro-cessing or nonlinear inverse problems.
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European Platform of Women Scientists
Maison des Associations Internationales (M.A.I.)
Rue Washington, 40
1050 Bruxelles
BELGIUM
#J-18808-Ljbffr
Research Assistant Position at WIAS Berlin, Germany Arbeitgeber: European Platform of Women Scientists EPWS
Kontaktperson:
European Platform of Women Scientists EPWS HR Team
StudySmarter Bewerbungstipps 🤫
So bekommst du den Job: Research Assistant Position at WIAS Berlin, Germany
✨Tip Number 1
Familiarize yourself with the latest research and developments in optimization, particularly in partial differential equations and variational inequalities. This will not only help you understand the field better but also allow you to engage in meaningful conversations during interviews.
✨Tip Number 2
Showcase any experience you have with data-driven approaches, especially machine learning techniques related to modeling and optimization. Highlighting relevant projects or coursework can set you apart from other candidates.
✨Tip Number 3
Network with professionals in the field of mathematical image processing and nonlinear inverse problems. Attend seminars or workshops at WIAS or similar institutions to make connections and learn more about current challenges and opportunities.
✨Tip Number 4
Prepare thoughtful questions about the research being conducted at WIAS, particularly in areas that interest you. This demonstrates your genuine interest in the position and helps you stand out as a proactive candidate.
Diese Fähigkeiten machen dich zur top Bewerber*in für die Stelle: Research Assistant Position at WIAS Berlin, Germany
Tipps für deine Bewerbung 🫡
Understand the Role: Make sure to thoroughly read the job description for the Research Assistant position. Familiarize yourself with the specific areas of optimization, partial differential equations, and data-driven approaches mentioned.
Tailor Your CV: Customize your CV to highlight relevant experience in optimization, machine learning, and mathematical image processing. Include any projects or research that align with the job requirements.
Craft a Strong Cover Letter: Write a compelling cover letter that explains your interest in the position and how your background makes you a suitable candidate. Be sure to mention any specific skills related to variational inequalities and nonlinear inverse problems.
Proofread Your Application: Before submitting, carefully proofread your application materials. Check for grammatical errors and ensure that all information is clear and concise. A polished application reflects your attention to detail.
Wie du dich auf ein Vorstellungsgespräch bei European Platform of Women Scientists EPWS vorbereitest
✨Understand the Research Focus
Make sure to familiarize yourself with the specific areas of optimization mentioned in the job description, such as partial differential equations and variational inequalities. Being able to discuss these topics intelligently will show your genuine interest and expertise.
✨Prepare for Technical Questions
Expect technical questions related to non-smooth coupled systems and data-driven approaches. Brush up on relevant mathematical concepts and be ready to explain how you would apply them in practical scenarios.
✨Showcase Your Experience
Be prepared to discuss any previous research or projects that relate to mathematical image processing or nonlinear inverse problems. Highlight your contributions and the outcomes of your work to demonstrate your capability.
✨Ask Insightful Questions
Prepare thoughtful questions about the research team's current projects and future directions. This not only shows your enthusiasm but also helps you assess if the position aligns with your career goals.
