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Data Scientist as Research Assistant Deep Learning (m/f/d)

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BlackRock

24d ago

Applications are closed

  • Job
    Full-time
    Entry, Junior & Mid Level
  • Data
    Research & Development
  • Erlangen
    Remote

Requirements

  • A Master's or PhD in Computer Science, Mathematics, or a related field.
  • Strong foundation in machine learning, computer vision, or medical image analysis.
  • Proven programming skills in Python (plus tools like R, Unix shell scripting, etc.), demonstrated through past projects or public repositories.
  • Excellent communication, English skills, and a structured, independent work style.
  • A strong publication track record for your career stage, including papers in MICCAI, CVPR, ECCV, or prestigious Q1 journals like IEEE TMI and Medical Image Analysis.
  • Experience in teaching, research organization, or industrial collaboration.
  • Familiarity with self-supervised learning, category theory, or human-in-the-loop systems is a bonus!

Responsibilities

  • Conduct world-class research, presenting and publishing results at top-tier conferences and journals.
  • Active contribution to the labs research mission, including collaboration with clinical, industrial, and academic partners.
  • Teaching responsibilities, including up to 5 SWS (semester weekly hours), depending on the position's co-funding.
  • Support in supervising BSc, MSc, and PhD projects.

FAQs

What is the application deadline for this position?

The application deadline is February 28, 2025.

What qualifications are required for this position?

A Master's or PhD in Computer Science, Mathematics, or a related field is required, along with a strong foundation in machine learning, computer vision, or medical image analysis.

Are teaching responsibilities included in the role?

Yes, the position includes teaching responsibilities, which may involve up to 5 semester weekly hours (SWS), depending on co-funding.

Is prior experience in medical image analysis necessary?

While a strong foundation in machine learning, computer vision, or medical image analysis is essential, specific prior experience in medical image analysis is not explicitly required.

What programming languages should applicants be familiar with?

Applicants should have proven programming skills in Python, and familiarity with tools like R and Unix shell scripting is also beneficial.

What type of research work is expected in this role?

The position involves conducting world-class research in deep learning for medical image analysis, presenting and publishing results at top-tier conferences and journals, and actively contributing to the lab's research mission.

Are there opportunities for career advancement in this position?

Yes, the position supports further scientific qualification, such as a PhD or Habilitation, and there are secure options for future contract extensions.

Does the lab support collaboration with other institutions?

Yes, the lab collaborates with world-class partners at institutions like Stanford, MIT, Imperial College London, and NYU, providing opportunities for extended research stays.

What is the salary for this position?

The salary is competitive and aligned with TV-L regulations, approximately €55,000 per year.

Is there a commitment to diversity and inclusion in the hiring process?

Yes, FAU is committed to equality and diversity, and applications from underrepresented groups, including women, minorities, and individuals with disabilities, are highly encouraged.

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BlackRock

Global investment manager. Technology provider. Helping more and more people experience financial well-being.

Finance
Industry
10,001+
Employees
1988
Founded Year

Mission & Purpose

BlackRock is a global asset manager and technology provider. Our purpose is to help more and more people experience financial well-being. We help millions of people invest to build savings that serve them throughout their lives. We make investing easier and more affordable. We advance sustainable investing because our conviction is it delivers better outcomes for investors. We contribute to a more resilient economy that benefits more people. Together with our clients, we’re contributing to a more equitable and resilient world – today and for generations to come. That’s why, we’re asking bigger questions – of ourselves, our industry, and the world at large. Questions that challenge convention and give rise to new thinking. Because the bigger questions we ask, the bigger actions we can take. Follow us for global insights shaping the economy, innovative thinking around the path to net zero and more information on culture and careers at BlackRock.

Benefits

  • Financial Well-being

    We help more and more people experience financial well-being – which applies as much to you as it does to our clients. At BlackRock, you’ll have access to our competitive retirement plan as well as financial coaching and educational resources to help you build a sound financial future.

  • Healthcare

    We provide a great selection of benefits and programs to help you manage health care costs, live a healthy lifestyle and find the right care, whenever you need it.

  • Physical well-being

    We know that physical well-being is an important component of maintaining your overall health – both now and in the future. Our comprehensive physical well-being benefits help you stay active, eat better and feel energized.

  • Life management

    We know managing life, work and everything in between can be difficult. So, whether you need a little R&R or time to tend to other matters, Flexible Time Off allows you to take time away from work, stress free, to focus on moments that are important to you.

  • Emotional well-being

    We understand emotional resilience is key to helping you thrive – in your life and at work. Whether you’re looking for ways to handle life’s many challenges, reduce your stress or boost your happiness by volunteering your time in service to others, our resources can help you navigate all kinds of situations.

  • Professional well-being

    Focus on your strengths and build the​ expertise you need to further your career. Our BlackRock Academies, structured training by​ program and employee networks, provide resources for​ meaningful networking, skill building and professional as​ well as personal growth.

  • Pay for Performance

    Our pay for performance approach means your total compensation reflects individual, business and company performance. For our full-time employees, total compensation includes a base salary plus an annual discretionary bonus.