Machine learning engineer

Vacancies for Administrative and Technical Staff

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Department: Faculty of Science
Regime Full-time

Let’s shape the future - University of Antwerp

The University of Antwerp is a dynamic, forward-thinking university. We offer an innovative academic education to more than 20000 students, conduct pioneering scientific research and play an important service-providing role in society. We are one of the largest, most international and most innovative employers in the region. With more than 6000 employees from 100 different countries, we are helping to build tomorrow's world every day. Through top scientific research, we push back boundaries and set a course for the future – a future that you can help to shape. 

The Department of Computer Science in the Faculty of Science is looking for a full-time (100%) Machine Learning Engineer to join the research team of Prof. Dr. Wout Bittremieux.

Position

  • Our international research team develops cutting-edge AI solutions for the analysis of mass spectrometry-based proteomics and metabolomics data. Our research aims to understand the role of biomolecules as fundamental building blocks of life.
  • You will design and implement efficient, scalable, and user-friendly machine learning and bioinformatics software to support groundbreaking research.
  • Your responsibilities include, but are not limited to:
    • Translating state-of-the-art machine learning and deep learning research software into robust, user-friendly applications.
    • Developing web applications for scientific tools.
    • Scaling up deep learning models by optimizing architectures and compiling high-quality training datasets.
    • Managing and improving high-performance computing (HPC) infrastructure for AI workloads.
  • You will collaborate closely with the Adrem Data Lab, an internationally renowned research group known for both theoretical and applied innovations in data science, and Biomina, a multidisciplinary network bridging data science and life sciences.

Why this role is exciting

  • Cutting-edge research: Work at the intersection of AI, bioinformatics, and life sciences, contributing to high-impact discoveries.
  • Freedom & creativity: Shape the future of AI-driven biomedical research with autonomy in project execution.
  • Collaboration: Be part of an international, interdisciplinary, and innovative research team.
  • Work-life balance: Flexible working conditions and 40 days of annual leave.
  • Career growth: Opportunities for continued learning, publications, and networking within the global AI and bioinformatics communities.

Profile

  • You hold a Bachelor’s or Master’s degree in Computer Science, Machine Learning, Bioinformatics, or related fields.
  • You have a strong background in software engineering and machine learning.
  • You are proficient in Python, PyTorch, NumPy, and other relevant scientific computing tools.
  • Experience with web development, cloud computing, and HPC systems is a plus.
  • While knowledge of molecular biology or life sciences is not required, familiarity is an advantage. If applicable, highlight this in your cover letter.
  • You are an excellent communicator (written and verbal) in English, with strong interpersonal skills.
  • You have an inquisitive mindset, an independent work ethic, and strong problem-solving abilities.
  • International applicants are strongly encouraged to apply.

What we offer

  • We offer a full-time, two-year appointment (renewable, subject to funding and performance).
  • You will receive a gross monthly salary within pay band 5.1-8.1 of the pay scales of the Administrative and Technical Staff. Your entry-level grade depends on your relevant professional experience.
  • You will receive meal vouchers, ecocheques, Internet-connectivity allowance, group insurance, income protection insurance, and a bicycle allowance or a full reimbursement of public transport costs for commuting.
  • We offer flexible working hours.
  • You will have 40 days of annual leave and collective leave for 1 week when the university is closed, between Christmas and New Year.
  • You will do most of your work at Campus Middelheim in a dynamic and stimulating working environment.
  • Find out more about working at the University of Antwerp here and discover all the other benefits.

Want to apply?

  • You can apply for this vacancy through the University of Antwerp’s online job application platform up to and including March 3, 2025 (by midnight Brussels time). Click on the 'Apply' button and complete the online application form. Be sure to include the following attachments:
    • Motivation letter outlining your fit for the position.
    • Detailed CV, including your employment/educational history, programming experience, and notable projects.
    • Software portfolio (e.g., GitHub profile showcasing your code contributions).
    • Recommendation letters or references (either two letters of recommendation or contact details of two professional references).
  • The selection committee will review all applications as soon as possible after the application deadline. As soon as a decision is made, we will notify you. If you are still eligible after the pre-selection, you will be informed about the possible next step(s) in the selection procedure. If you are shortlisted, you will be invited for an interview in March–April 2025.
  • If you have any questions about the online application form, please check the frequently asked questions or send an email to jobs@uantwerpen.be. If you have any questions about the job itself, please contact Dr. Wout Bittremieux (wout.bittremieux@uantwerpen.be) with the email subject “Machine learning engineer.”


The University of Antwerp received the European Commission’s HR Excellence in Research Award for its HR policy. We are a sustainable, family-friendly organisation which invests in its employees’ growth. We encourage diversity and attach great importance to an inclusive working environment and equal opportunities, regardless of gender identity, disability, race, ethnicity, religion or belief, sexual orientation or age. We encourage people from diverse backgrounds and with diverse characteristics to apply.

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