Industrial PhD Scholarship in Machine Learning for Drug Discovery

Location:

Copenhagen, Zealand, Denmark

Salary:

Competitive

Type:

Permanent

Main Industry:

Search Manufacturing Jobs

Advertiser:

Lundbeck

Job ID:

131536187

Posted On:

25 January 2025

Industrial PhD Scholarship in Machine Learning for Drug Discovery

Are you ready to drive innovation in pharmaceutical research? Lundbeck and DTU Compute are seeking an ambitious candidate for a PhD project that aims to leverage machine learning to accelerate the research and development of new medicines!

 

Your new role

In this Industrial PhD project, you will focus on developing supervised machine learning models that can detect behavioural and electrophysiological features of brain disorders in rodents as well as efficacy of new drug treatments, ultimately contributing to the creation of an AI-enabled toolbox for drug development. This position offers a unique chance to work with advanced deep learning methods and collaborate with experts in both neuroscience and data science, all while being a part of a vibrant research community.

 

Your future team

You will be part of the Neuroscience research unit located at Lundbeck headquarters in Copenhagen, Denmark, and will be collaborating with data scientists at Lundbeck and DTU Compute section for Cognitive Systems. We are dedicated to fostering a collaborative and respectful work environment, where diverse perspectives are valued. You will work alongside passionate colleagues who are committed to improving brain health.

 

What you bring to the team

We are looking for candidates with:

style=”margin-bottom:11.0px”-
-A two-year master’s degree (120 ECTS) in Computer Science, Computational Science, Mathematical Modelling, Neuroscience, or equivalent. You may apply prior to obtaining your master’s degree but must complete it prior to 13 June 2025.

-An interest in biology and neuroscience, and in applying data science methods to biomedical questions.

-Experience with Python or R programming for data science as well as a solid background in machine learning, particularly with deep learning frameworks like JaX or PyTorch.

-Familiarity with Bayesian machine learning, probabilistic programming, and database query languages

-Excellent collaboration and communication skills, with fluency in English.

 

Our promise to you

Lundbeck offers an inspiring workplace and innovative culture, where our curiosity, accountability, and adaptability enable us to transform lives. We are dedicated to addressing the unmet needs of individuals living with brain disorders, providing rewarding careers filled with exciting tasks and development opportunities. We are committed to building a diverse workforce that reflects the communities we serve. The position is co-funded by the Innovation Fund Denmark and offers a competitive salary based on qualifications.

 

Apply now

Can you see yourself in this role? We want to hear from you. Does this sound like your dream job, but you’re not sure if you meet all the requirements? We still want to hear from you!

Upload your CV as well as
your grade transcripts and BSc/MSc diploma and
include a few lines about your motivation for applying. We ask you not to include a photo or personal information that does not relate to your professional experience.

If you have questions, please contact
Francois Gastambide ( # ) and/or Michael Riis Andersen ( # ). Applications must be received by 14 February 2025 (23:59 Danish time).

Learn more about us at lundbeck, LinkedIn or Instagram (h_lundbeck).

#EveryBrainInTheGame

This job ad is intended for individuals seeking a career opportunity with Lundbeck. We engage with recruitment and search firms where needed on the basis of a written agreement, and we do not accept unsolicited requests of any kind. If you work as a recruitment consultant, you are kindly instructed to refrain from contacting Lundbeck or the hiring manager directly with suggested candidates. If you violate this policy, you do so at your own risk and for your own account, and Lundbeck will not assume any liability nor pay any associated fees resulting from such violation. 

 

To help us track our recruitment effort, please indicate in your email/cover letter where (vacanciesin.eu) you saw this job posting.