Auf einen Blick
- Aufgaben: Join arivis AG to develop cutting-edge image analysis algorithms for red blood cells.
- Arbeitgeber: arivis AG specializes in IT solutions for the Life Sciences industry, focusing on imaging science.
- Mitarbeitervorteile: Enjoy a competitive salary, generous living allowance, and opportunities for travel across Europe.
- Warum dieser Job: Be part of an innovative EU project with real-world impact in medical technology and research.
- Gewünschte Qualifikationen: Must have a Master's degree in computer sciences or related fields and strong image analysis skills.
- Andere Informationen: Candidates must be from the EU; German nationality or residency restrictions apply.
Das voraussichtliche Gehalt liegt zwischen 36000 - 60000 € pro Jahr.
PhD position (Computer Sciences) in Image Analysis – RELEVANCE, arivis AG, Rostock-Germany
Organization: Arivis AG
Available from: September 1, 2016 to September 1, 2019
JOB DESCRIPTION
Arivis AG (based in Germany) is looking for a talented and driven person to join their team in the Business Unit Imaging Science as a PhD (Computer Sciences) in Image Analysis.
Starting date: April – September 2016
Duration: 36 months with excellent chance for a permanent deployment
An Early Stage Researcher (Ph.D. student) position is available at arivis AG in Rostock, Germany as part of the Marie Sklodowska-Curie Innovative Training Network “Regulation of red cell life span, erythropoiesis, survival, senescence and clearance (RELEVANCE)”.
arivis develops and provides IT solutions focused on the Life Sciences industry. Our product portfolio ranges from solutions in imaging science, regulatory, raw data archiving and production to quality management for medical and pharmaceutical products. arivis solutions help customers to meet the worldwide ever-increasing regulatory, quality and compliance requirements in research, clinical trials, approval and maintenance of medical devices and medicinal products.
Responsibilities and Project Topics:
arivis’ contribution to the EU funded project will be diagnostic tools for red blood cells, including:
- Segmentation and classification of red blood cells
- Trainable classification algorithms (SVM, Random forest, Deep Neural Networks)
- Parallelization and automated analysis workflows
- Integration of analysis algorithms into a scalable software environment
The focus will be on the development of software algorithms for highly parallelized trainable algorithms.
Qualifications:
We are looking for highly motivated individuals with evidence of high academic achievements. Candidates should bring:
- Masters degree in computer sciences, mathematics or a similar field.
- Strong background in image analysis, algorithm development and implementation.
- Languages: English required, German optional.
- Development in C++/C#/Python/MATLAB
Funding:
The MSC ITN programme offers a highly competitive and attractive salary. The successful candidates will receive a salary in accordance with the regulations for MSC Fellows/early stage researchers (ESRs) for 3 years. Exact salary will be confirmed upon appointment but will involve a generous Living Allowance and monthly mobility allowance depending on the successful candidate’s family situation.
We seek candidates with a Masters degree in computer sciences, mathematics or a similar field with a strong background in image analysis, segmentation and classification. Candidates will travel and work in collaborators‘ laboratories in Europe.
We can only consider candidates from within the EU. Furthermore, candidates with German nationality or who have lived in Germany for longer than 12 months during the past 3 years are excluded from applying for this specific position. Details of the other available RELEVANCE projects can be found on the consortium website
The candidate must take up the ESR position before 1st September 2016.
Please send your application to Applications should consist of an up-to-date CV and cover letter including the applicant’s motives to apply. Please provide supporting documents, personal statement, degree transcripts and certificates and references.
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PhD position (Computer Sciences) in Image Analysis – RELEVANCE, arivis AG, Rostock-Germany Copy Arbeitgeber: France - BioImaging
Kontaktperson:
France - BioImaging HR Team
StudySmarter Bewerbungstipps 🤫
So bekommst du den Job: PhD position (Computer Sciences) in Image Analysis – RELEVANCE, arivis AG, Rostock-Germany Copy
✨Tip Number 1
Make sure to familiarize yourself with the latest advancements in image analysis and algorithm development. This will not only help you during the interview but also show your genuine interest in the field.
✨Tip Number 2
Network with professionals in the imaging science community, especially those who have experience with projects similar to RELEVANCE. Engaging with them can provide valuable insights and potentially lead to recommendations.
✨Tip Number 3
Prepare to discuss your previous projects related to segmentation and classification of images. Be ready to explain your thought process and the technologies you used, as this will demonstrate your hands-on experience.
✨Tip Number 4
Since the position requires collaboration across Europe, highlight any international experience or teamwork skills you possess. This will show that you are adaptable and ready to work in diverse environments.
Diese Fähigkeiten machen dich zur top Bewerber*in für die Stelle: PhD position (Computer Sciences) in Image Analysis – RELEVANCE, arivis AG, Rostock-Germany Copy
Tipps für deine Bewerbung 🫡
Understand the Project: Familiarize yourself with the RELEVANCE project and its objectives. This will help you tailor your application to demonstrate how your skills and experiences align with the project's goals.
Craft a Compelling Cover Letter: Write a cover letter that clearly outlines your motivation for applying, your relevant experience in image analysis, and how your background in computer sciences makes you a suitable candidate for this PhD position.
Highlight Relevant Skills: In your CV, emphasize your programming skills in C++, C#, Python, and MATLAB, as well as any experience with algorithm development and implementation. Make sure to include specific projects or coursework that showcase your expertise.
Gather Supporting Documents: Prepare all necessary supporting documents, including degree transcripts, certificates, and references. Ensure these documents are up-to-date and relevant to the position you are applying for.
Wie du dich auf ein Vorstellungsgespräch bei France - BioImaging vorbereitest
✨Showcase Your Technical Skills
Be prepared to discuss your experience with image analysis and algorithm development in detail. Highlight specific projects where you utilized C++, Python, or MATLAB, and be ready to explain the methodologies you employed.
✨Demonstrate Your Research Interest
Express your enthusiasm for the RELEVANCE project and how it aligns with your academic background. Discuss any relevant research you've conducted and how it relates to the segmentation and classification of red blood cells.
✨Prepare for Problem-Solving Questions
Expect technical questions that assess your problem-solving abilities. Practice explaining your thought process when tackling complex problems, especially those related to parallelization and automated analysis workflows.
✨Cultural Fit and Collaboration
Since the role involves collaboration across Europe, emphasize your ability to work in diverse teams. Share experiences where you successfully collaborated with others, showcasing your adaptability and communication skills.