Postdoc in AI-prediction of pathogen potential of bacteria and viruses at DTU Wind

Jobbeskrivelse:

Seneste jobinformation fra DTU Wind til stillingen som Postdoc in AI-prediction of pathogen potential of bacteria and viruses. If the Postdoc in AI-prediction of pathogen potential of bacteria and viruses ledige stilling i Danmark matcher dine kvalifikationer, bedes du indsende din ansøgning eller dit CV direkte gennem den opdaterede Jobkos jobportal.

Bemærk venligst, at det ikke altid er nemt at søge job, da kandidater skal opfylde visse krav sat af virksomheden. Vi håber, at karrieremuligheden hos DTU Wind til stillingen som Postdoc in AI-prediction of pathogen potential of bacteria and viruses nedenfor matcher dine kvalifikationer.

Infectious diseases caused by bacterial, viral and parasitic pathogens, including those that are antimicrobial resistant, constitute one of the biggest threats to human, animal, plant and planetary health. The microbial diversity in different niches is enormous, and it is not all bacteria or viruses that are harmful and many are even beneficial. We are constantly faced with the emergence of novel variants that are causing epidemic or even pandemics. If we at an early stage could foresee which variants of novel species there most likely would cause diseases, we could potentially develop solutions. 

The Research Group for Genomic Epidemiology at DTU National Food Institute conducts research within evolution and ecology of infectious diseases, metagenomic analyses of a wide range of data and offers a broad range of online and in-house bioinformatic pipelines for analysing bacterial and viral genomes and metagenomes. The group has already back in 2013 developed a bioinformatic pipeline for predicting human pathogenicity based on bacterial genomes, something that has recently been expanded using more novel AI-techniques.

There is, however, a need to further expand this to also predict pathogen potential of viruses and in other reservoirs including different animals and plants.

Responsibilities and qualifications
Your main responsibility will be to develop and implement AI algorithms aimed at predicting pathogen potential based on whole or partial genomes. You will also be responsible for integrating such tools into online accessible pipelines thus, providing the possibility for other to conduct their own analyses.

You understand the importance of interdisciplinary and integrative research and collaboration across scientific disciplines, and capable of integrating several tools from various research disciplines together to address pathogen problems in simple and complex microbial communities. 

With assistance from other group members, you will analyse the output, draw conclusions and present the outputs. You will communicate research results by presenting data at project meetings and international conferences and write reports and manuscripts for publication.

You will engage in the general work carried out by the research group, including discussions and planning of strategies and projects, drafting research grant proposals, etc. You will also co-supervise students and contribute to the group's teaching activities.

Daily work will be in close collaboration with other researchers in the Research Group for Genomic Epidemiology as well as national and international partners.

The ideal candidate will have:

• Experience in developing novel algorithms.
• Experience in coding in python and preferably C/C++.
• Experience in frontend engineering, including but not limited to the React framework, Javascript/HTML/CSS, concurrency management.
• Experience in backend engineering, including but not limited to Django, flask, databases (PostgresSQL/MongoDB/Redis), designing API endpoints, distributed systems.
• Experience in DevOps tools, including but not limited to Docker, Kubernetes, building CI/CD pipelines
• Experience in language modeling research and LLMOps, including but not limited to LLM serving (Ray/VLLM), quantization and sharding, prompt optimization, reinforcement learning, Transformers/Deep-SSMs/Test-Time Regression
• Extensive knowledge of agentic AI systems research, engineering and architectural design, including but not limited to ReACT/CodeAct agents, multi-agent systems, self-evolving agents, scalable agentic memory management and
• Extensive knowledge of existing bioinformatic algorithms and tools.
• Experience in teaching advanced and fundamental science classes for university students.
• Experience in collaborations and bringing new ideas.

As a formal qualification, you must hold a PhD degree (or equivalent). 

We offer
DTU is a leading technical university globally recognized for the excellence of its research, education, innovation and scientific advice. We offer a rewarding and challenging job in an international environment. We strive for academic excellence in an environment characterized by collegial respect and academic freedom tempered by responsibility. 

Salary and terms of employment 
The appointment will be based on the collective agreement with the Danish Confederation of Professional Associations. The allowance will be agreed upon with the relevant union.

Starting date is 1 April (or according to mutual agreement). The Stilling is a full-time Stilling.

The period of employment is 3 years.

You can read more about career paths at DTU here.

Further information
Further information may be obtained from Professor and Head of Research Group, Frank Aarestrup on  or Associate Professor, Philip Thomas Conradsen Clausen 

Read more about the DTU National Food Institute 

Read more about the Research Froup for Genomic Epidemiology  

If you are applying from abroad, you may find useful information on working in Danmark and at DTU at DTU – Moving to Danmark.

Application procedure 
Your complete online application must be submitted no later than 4 March :59 Danish time). 

Applications must be submitted as one PDF file containing all materials to be given consideration. To apply, please open the link "Apply now", fill out the online application form, and attach all your materials in English in one PDF file. The file must include:

• Application (cover letter)
• CV
• Academic Diplomas (MSc/PhD – in English)
• List of publications 

Applications received after the deadline will not be considered.

All interested candidates irrespective of age, gender, disability, race, religion or ethnic background are encouraged to apply. As DTU works with research in critical technology, which is subject to special rules for security and export control, open-source background checks may be conducted on qualified candidates for the Stilling.

DTU National Food Institute
DTU National Food Institute conducts research into and disseminates - through advice, innovation and teaching - sustainable and value-creating solutions in the area of food and health for the benefit of society. The vision is to make a difference by generating future prosperity through research into food and health. The institute works to prevent disease and promote health, develop new and better food products for a growing population and create sustainable technological solutions, including biosolutions. The institute's tasks are carried out in interdisciplinary collaboration within e.g. nutrition, chemistry, toxicology, microbiology, epidemiology, modelling, and technology. This is achieved through a strong academic environment of international top class with correspondingly skilled researchers and employees. The Institute employs approximately 390 staff members.

Technology for people
DTU develops technology for people. With our international elite research and study programmes, we are helping to create a better world and to solve the global challenges formulated in the UN's 17 Sustainable Development Goals. Hans Christian Ørsted founded DTU in 1829 with a clear mission to develop and create value using science and engineering to benefit society. That mission lives on today. DTU has 13,500 students and 6,000 employees. We work in an international atmosphere and have an inclusive, evolving, and informal working environment. DTU has campuses in all parts of Danmark and in Greenland, and we collaborate with the best universities around the world.

Jobinfo:

• Virksomhed: DTU Wind
• Stilling: Postdoc in AI-prediction of pathogen potential of bacteria and viruses
• Arbejdssted: Danmark
• Land: DK

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