LISCO Innovation Lab - AI Engineer (Postdoc position)

16 May 2024
Job Information

Organisation/Company

KU Leuven

Research Field

Computer science » Other

Researcher Profile

Recognised Researcher (R2)

Country

Belgium

Application Deadline

20 Jun 2024 - 00:00 (UTC)

Type of Contract

Temporary

Job Status

Full-time

Hours Per Week

38 hours/week

Is the job funded through the EU Research Framework Programme?

Not funded by an EU programme

Reference Number

BAP-2024-306

Is the Job related to staff position within a Research Infrastructure?

No

Offer Description

We are seeking a motivated postdoctoral researcher to drive development of innovative machine learning/AI strategies for the analysis of large and highly-dimensional biomedical/biological datasets. In this role, you will design novel algorithms, benchmark them against state-of-the-art alternative methods and collaborate closely with our interdisciplinary team of data scientists, technologists and experimentalists. This position offers an exceptional opportunity to expand your expertise, advance your research profile in AI research/computational biology, and make meaningful contributions to the field with far-reaching implications.

• Conceptualise novel algorithms for the analysis of spatial (multi-)omics data and their biological or biomedical application. 
• Develop the analysis strategy for cutting-edge, novel technologies as part of the interdisciplinary Innovation Lab. 
• Troubleshoot and optimize analyses to ensure a high level of quality and reliability of generated results. 
• Horizon scanning and implementation of novel neural network architectures/models. 
• Interface with national/international partners in academia and industry to develop customized analysis pipelines.
• Be co-responsible for the successful completion and timely delivery of project milestones. 
• Collaborate with the team to translate technical and biological insights into compelling grant applications. 
• Report and communicate progress in meetings, publish scientific articles, and participate in international conferences.

Requirements

Research Field

Computer science

Education Level

PhD or equivalent

Languages

ENGLISH

Level

Excellent

Additional Information
Benefits

We provide full-time employment in a stimulating international work environment equipped with state-of-the-art infrastructure. Initially, we offer a 2-year postdoctoral position with the possibility to extend the contract. Candidates are encouraged to apply for additional (inter)national funding and fellowships. You will be based in Leuven, a historic, dynamic and lively city in the heart of Belgium, within close proximity to major European capitals. KU Leuven is a research-intensive, internationally-oriented university that conducts fundamental and applied scientific research.  It is highly inter- and multidisciplinary focused and strives for international excellence.

Eligibility criteria

• PhD in data science-adjacent fields (bioinformatics, computer science, AI, biostatistics, bioengineering, biotechnology) with a strong publication record.
• Experience with bioinformatic analyses (transcriptomics, proteomics, genomics, metabolomics, etc.). 
• Experience with implementation and benchmarking of deep neural network architectures/classical machine learning data analysis strategies.
• Experience with PyTorch and high-performance compute environments.
• Experience with single-cell and/or spatial biology technologies is a plus.
• Experience with multi-modal data analysis, representation learning and/or computer vision are a plus.
• Experience with troubleshooting.
• Genuine interest and commitment to technology development and innovation.
• Excellent verbal and written English communication and interpersonal skills. 
• Ability to work independently together with a creative problem-solving mentality.

Selection process

For more information please contact Prof. dr. Alejandro Sifrim, mail: [email protected] .
You can apply for this job no later than 20/06/2024 via the online application tool

Work Location(s)

Number of offers available

1

Company/Institute

KU Leuven

Country

Belgium

State/Province

Vlaams Brabant

City

Leuven

Postal Code

3000

Street

Leuven

Geofield

Where to apply

Website

https://easyapply.jobs/r/lkm87fl21V6oclDJvSh

Contact

State/Province

Leuven

City

Vlaams Brabant

Street

Leuven

Postal Code

3000

E-Mail

[email protected]

STATUS: EXPIRED