478 Postdoctoral Research jobs in Singapore

About TUMCREATE

TUMCREATE is a multidisciplinary research platform of the Technical University Munich (TUM) at the Singapore Campus for Research Excellence and Technological Enterprise (CREATE). We are joining forces with universities, public agencies, and industry for the advancement of future technologies.

Our large-scale Food Science ‘Proteins4Singapore’ program is funded by Singapore’s National Research Foundation (NRF). The Technical University Munich (TUM) and Nanyang Technological University (NTU) join forces with the Singapore Institute of Technology (SIT) and A*STAR’s Singapore Institute of Food and Biotechnology Innovation (SIFBI) to research plant-based proteins.

Please visit for more information about TUMCREATE.

Job Title/Position:

Postdoctoral Research Fellow (Process modelling, Technoeconomic assessment and Life cycle analysis)

Job Purpose/Objective of the Position:

You will be working in the Proteins4Singapore (P4S) programme, a comprehensive research programme with renowned scientists of plant and food technology, food chemistry, and business sustainability. Interdisciplinary teams will generate state-of-the-art methods and techniques to ensure a sustainable protein supply in highly urbanized environments.

The focus of research is on the evaluation of alternative protein production processes. We will establish total value assessments of protein supply chains for technologies developed from this project as well as for the major existing animal and plant-based sources of protein. The key methodologies used in this project are process modelling, techno-economic analysis (TEA), life cycle assessment/analysis (LCA), and supply chain analysis. The project will be at the interface of food sciences, process modelling, TEA, LCA, and supply chain optimization.

This is a fixed term contract until March 2027.

Job Responsibilities:

• Data collection for performing process modelling on existing and developed protein production, extraction and processing technologies in this project.
• Performing technoeconomic and total value assessment of the processes developed in this project.
• Evaluate different modes of protein-rich biomass (soy and microalgae) and understand the entire supply chain from food security perspective.
• Performing LCA for evaluating the environmental footprint of different processes/process configurations and comparing them.

Job Requirements/Competencies:

• Good understanding of process modelling, LCA and TEA.
• At least 1 year of experience in food processing related process will be highly valued.
• Experience in the software tools.
• Process modelling and TEA: UniSim/SuperPro Designer/Aspen plus; LCA: Gabi (LCA for Experts)/SimaPro
• Experience on related standards such as ISO 14040, ISO 14044, ISO 14067, GHG Protocol.
• Strong interdisciplinary skills at the intersection of food production, sustainability, life cycle assessments, product supply chains, etc.
• Self-motivated and quick learner who is passionate about latest trends and technologies in food production and Agri-Tech.
• Passionate about domain of sustainability and evaluating product and processes to understand environmental and social impact.
• Good team player, able to work with deadlines and dynamic requirements.

Qualification Requirements:

• PhD in Engineering/Chemical Engineering/Environmental Engineering/ Industrial Engineering with strong skills in mathematical modelling, process modelling, Technoeconomic assessment and life cycle analysis from a reputable university.
• Experience or interest in using process modelling tools and LCA tools in interdisciplinary work in the sustainability domain.
• Strong skills in English speaking and writing, problem-solving and communication.

What TUM CREATE offers you:

• Competitive salary that commensurate with experience
• Medical insurance
• Good amount of leave/vacation days
• Vibrant, modern and positive working environment in Singapore
• Campus-sited office location with a host of facilities
• In-building perks including gym, game room and coffee room

Applications:

Please send your application including cover letter (compulsory) and CV to .

We look forward to your application.

We are seeking a highly motivated and talented postdoctoral fellow to join our research team. The successful candidate will work on the project "Disruptive & Sustainable Technologies for Agricultural Precision", a research programme funded by the National Research Foundation.

Key Responsibilities:

• Developing innovative platform technologies to diagnose abiotic stresses in crops.
• Creating CRISPR leaf vegetables that exhibit tolerance to abiotic stresses.

Requirements:

• A PhD in plant molecular biology, biochemistry or agricultural biotechnology is essential.
• A minimum of one first-author paper in an international peer-reviewed journal is required.
• Prior research experience in chemical biology (metabolites analysis) and/or synthetic biology would be advantageous.
• Excellent communication skills and the ability to work independently are crucial.

The successful candidate will receive a competitive salary and benefits package, commensurate with their qualifications and experience. Benefits include annual leave, medical insurance, and flexi-benefits.

If you are interested in this opportunity, please submit your application, including a cover letter, curriculum vitae, and three referees' contacts, to:

A postdoctoral research fellow position (junior postdoc / senior postdoc) is available in the Breitling group in the Bioinformatics Institute (BII), A*STAR, Singapore in the area of Artificial Intelligence (AI) and Machine Learning (ML) for (Bio)retrosynthesis and biosynthetic pathway engineering .

In the Breitling group, we believe that computational approaches can make a real difference for scientific progress in the life sciences. We are committed to academic excellence and have created tools, such as antiSMASH, ipaPy2, RankProd and Selenzyme, that are used by thousands of researchers in academia and industry world-wide. We value curiosity, creativity and innovation, and support the intellectual growth and career development of our team members. Alumni of the Breitling group have moved on to build their own start-up companies and have joined the faculty of major universities.

The successful candidate will be part of an interdisciplinary team working on the development of computational tools to support the Design-Build-Test-Learn cycle of synthetic biology, in close collaboration with the team of experimental scientists at A*STAR's newly established Singapore Integrative Biosystems & Engineering Research Strategic Research and Translational Thrust (SIBER SRTT).

Job descriptions:

• Develop and validate novel AI and ML models and methods for (Bio)retrosynthesis and biosynthetic pathway engineering.
• Apply these and other state-of-the-art computational tools to inform, guide and support the work of experimental biologists and biosystems engineers.
• Work closely with the other members of the computational synthetic biology team in BII, as well as with the team of experimental biologists at SIBER SRTT, to realise the shared mission of driving synthetic biology advances towards industrial implementation.
• Present findings at seminars, meetings and national / international conferences.
• Write manuscripts for publication in high-impact scientific journals.
• Prepare high-quality software for use by the wider community of researchers.
• Apply proactively for individual research grants as part of career development and contribute to the writing of larger grant applications.
• Build and maintain strong relationships with the local and international research network.

Requirements:

• PhD in Computer Science, Bioinformatics, Computational Biology, Biochemistry, Biotechnology, Chemical Engineering, Microbiology or a related field with at least 5 years of relevant experience.
• Excellent coding and software development skills, including proficiency in Python and R programming.
• Familiarity with state-of-the-art computational tools, methodology and data formats relevant for computational biology and bioengineering, with a special focus on (bio)chemistry, structural biology and enzyme engineering.
• Passion for joining a growing and dynamic group of researchers and a demonstrated ability to work independently as well as collaboratively and efficiently in an interdisciplinary team.
• Desire to work closely with experimental biologists to develop tools to drive the new green revolution towards decarbonisation and sustainable chemical production.
• Track record of peer-reviewed scientific publications in internationally recognised journals.
• Excellent communication skills both spoken and written, especially for the preparation of scientific manuscripts and reports.
• A strong interest in the translational and applied aspects of research, including collaborations with industrial partners.

Preferred Skills:

Whether you are an experienced bioinformatician excited about the possibilities of artificial intelligence, or a biology-curious machine learning expert looking for new exciting applications across disciplines, we want to hear from you. A strong willingness to learn and develop new skills is highly preferred. We will be looking for candidates with any of the following qualities:

• Familiarity with protein language models (PLMs) and their application for protein structure prediction and enzyme engineering.
• Practical experience with the tools and concepts of bio(retrosynthesis), such as Retropath / Selenzyme, and the underlying concepts of enzymology.
• Strong background in AI/ML modelling, statistics, and data analysis and visualization, preferably including practical experience with deep learning frameworks (e.g., TensorFlow, PyTorch).
• Extensive domain knowledge in (bio)chemistry, molecular biology, microbiology and the concepts of synthetic biology / engineering biology.
• Familiarity with the techniques of agentic AI.

We offer:

• A nurturing, supportive and stimulating environment with close mentorship to develop your scientific career and shape the future of synthetic biology through innovative computational approaches.
• An opportunity to work closely with an ambitious team of experimental biologists at the forefront of advances in synthetic biology.
• Access to state-of-the-art technologies, scientific resources, core facilities and infrastructure housed within A*STAR to facilitate your research work.
• Access to collaborations with industrial partners to translate research findings to commercial applications and societal impact.
• We welcome applicants from all background.

The above eligibility criteria are not exhaustive. A*STAR may include additional selection criteria based on its prevailing recruitment policies. These policies may be amended from time to time without notice. We regret that only shortlisted candidates will be notified.

A postdoctoral research fellow position (junior postdoc / senior postdoc) is available in the Breitling group in the Bioinformatics Institute (BII), A*STAR, Singapore in the area of Artificial Intelligence (AI) and Machine Learning (ML) for (Bio)retrosynthesis and biosynthetic pathway engineering .

In the Breitling group, we believe that computational approaches can make a real difference for scientific progress in the life sciences. We are committed to academic excellence and have created tools, such as antiSMASH, ipaPy2, RankProd and Selenzyme, that are used by thousands of researchers in academia and industry world-wide. We value curiosity, creativity and innovation, and support the intellectual growth and career development of our team members. Alumni of the Breitling group have moved on to build their own start-up companies and have joined the faculty of major universities.

The successful candidate will be part of an interdisciplinary team working on the development of computational tools to support the Design-Build-Test-Learn cycle of synthetic biology, in close collaboration with the team of experimental scientists at A*STAR's newly established Singapore Integrative Biosystems & Engineering Research Strategic Research and Translational Thrust (SIBER SRTT).

Job descriptions:

• Develop and validate novel AI and ML models and methods for (Bio)retrosynthesis and biosynthetic pathway engineering.
• Apply these and other state-of-the-art computational tools to inform, guide and support the work of experimental biologists and biosystems engineers.
• Work closely with the other members of the computational synthetic biology team in BII, as well as with the team of experimental biologists at SIBER SRTT, to realise the shared mission of driving synthetic biology advances towards industrial implementation.
• Present findings at seminars, meetings and national / international conferences.
• Write manuscripts for publication in high-impact scientific journals.
• Prepare high-quality software for use by the wider community of researchers.
• Apply proactively for individual research grants as part of career development and contribute to the writing of larger grant applications.
• Build and maintain strong relationships with the local and international research network.

Requirements:

• PhD in Computer Science, Bioinformatics, Computational Biology, Biochemistry, Biotechnology, Chemical Engineering, Microbiology or a related field.
• Excellent coding and software development skills, including proficiency in Python and R programming.
• Familiarity with state-of-the-art computational tools, methodology and data formats relevant for computational biology and bioengineering, with a special focus on (bio)chemistry, structural biology and enzyme engineering.
• Passion for joining a growing and dynamic group of researchers and a demonstrated ability to work independently as well as collaboratively and efficiently in an interdisciplinary team.
• Desire to work closely with experimental biologists to develop tools to drive the new green revolution towards decarbonisation and sustainable chemical production.
• Track record of peer-reviewed scientific publications in internationally recognised journals.
• Excellent communication skills both spoken and written, especially for the preparation of scientific manuscripts and reports.
• A strong interest in the translational and applied aspects of research, including collaborations with industrial partners.

Preferred Skills:

Whether you are an experienced bioinformatician excited about the possibilities of artificial intelligence, or a biology-curious machine learning expert looking for new exciting applications across disciplines, we want to hear from you. A strong willingness to learn and develop new skills is highly preferred. We will be looking for candidates with any of the following qualities:

• Familiarity with protein language models (PLMs) and their application for protein structure prediction and enzyme engineering.
• Practical experience with the tools and concepts of bio(retrosynthesis), such as Retropath / Selenzyme, and the underlying concepts of enzymology.
• Strong background in AI/ML modelling, statistics, and data analysis and visualization, preferably including practical experience with deep learning frameworks (e.g., TensorFlow, PyTorch).
• Extensive domain knowledge in (bio)chemistry, molecular biology, microbiology and the concepts of synthetic biology / engineering biology.
• Familiarity with the techniques of agentic AI.

We offer:

• A nurturing, supportive and stimulating environment with close mentorship to develop your scientific career and shape the future of synthetic biology through innovative computational approaches.
• An opportunity to work closely with an ambitious team of experimental biologists at the forefront of advances in synthetic biology.
• Access to state-of-the-art technologies, scientific resources, core facilities and infrastructure housed within A*STAR to facilitate your research work.
• Access to collaborations with industrial partners to translate research findings to commercial applications and societal impact.
• We welcome applicants from all background.

The above eligibility criteria are not exhaustive. A*STAR may include additional selection criteria based on its prevailing recruitment policies. These policies may be amended from time to time without notice. We regret that only shortlisted candidates will be notified.

A postdoctoral research fellow position (junior postdoc / senior postdoc) is available in the Breitling group in the Bioinformatics Institute (BII), A*STAR, Singapore in the area of Artificial Intelligence (AI) and Machine Learning (ML) for Metabolic modelling for biotechnology chassis optimisation .

In the Breitling group, we believe that computational approaches can make a real difference for scientific progress in the life sciences. We are committed to academic excellence and have created tools, such as antiSMASH, ipaPy2, RankProd and Selenzyme, that are used by thousands of researchers in academia and industry world-wide. We value curiosity, creativity and innovation, and support the intellectual growth and career development of our team members. Alumni of the Breitling group have moved on to build their own start-up companies and have joined the faculty of major universities.

The successful candidate will be part of an interdisciplinary team working on the development of computational tools to support the Design–Build–Test–Learn cycle of synthetic biology, in close collaboration with the team of experimental scientists at A*STAR’s newly established Singapore Integrative Biosystems & Engineering Research Strategic Research and Translational Thrust (SIBER SRTT).

Job Descriptions:

• Develop and validate novel AI and ML models and methods for Metabolic modelling for biotechnology chassis optimisation.
• Apply these and other state-of-the-art computational tools to inform, guide and support the work of experimental biologists and biosystems engineers.
• Work closely with the other members of the computational synthetic biology team in BII, as well as with the team of experimental biologists at SIBER SRTT, to realise the shared mission of driving synthetic biology advances towards industrial implementation.
• Present findings at seminars, meetings and national / international conferences.
• Write manuscripts for publication in high-impact scientific journals.
• Prepare high-quality software for use by the wider community of researchers.
• Apply proactively for individual research grants as part of career development and contribute to the writing of larger grant applications.
• Build and maintain strong relationships with the local and international research network.

Requirements:

• PhD in Computer Science, Bioinformatics, Computational Biology, Biochemistry, Biotechnology, Chemical Engineering, Microbiology or a related field with at least 5 years relevant experience.
• Excellent coding and software development skills, including proficiency in Python and R programming.
• Familiarity with state-of-the-art computational tools, methodology and data formats relevant for computational biology and bioengineering, with a special focus on molecular biology and metabolic engineering.
• Passion for joining a growing and dynamic group of researchers and a demonstrated ability to work independently as well as collaboratively and efficiently in an interdisciplinary team.
• Desire to work closely with experimental biologists to develop tools to drive the new green revolution towards decarbonisation and sustainable chemical production.
• Track record of peer-reviewed scientific publications in internationally recognised journals.
• Excellent communication skills both written and spoken, especially for the preparation of scientific manuscripts and reports.
• A strong interest in the translational and applied aspects of research, including collaborations with industrial partners.

Preferred Skills:

Whether you are an experienced bioinformatician excited about the possibilities of artificial intelligence, or a biology-curious machine learning expert looking for new exciting applications across disciplines, we want to hear from you. A strong willingness to learn and develop new skills is highly preferred. We will be looking for candidates with any of the following qualities:

• Experience with the application of AI/ML tools for the automated parameterisation of genome-scale metabolic models and the generation of AI virtual cells.
• Familiarity with the tools and concepts of constraint-based metabolic modelling, including resource-constrained models, metabolic network reconstruction and metabolic flux analysis.
• Deep understanding of the methodology, aims and concepts of microbial strain engineering for biotechnology.
• Strong background in AI/ML modelling, statistics, and data analysis and visualization, preferably including practical experience with deep learning frameworks (e.g., TensorFlow, PyTorch).
• Extensive domain knowledge in (bio)chemistry, molecular biology, microbiology and the concepts of synthetic biology / engineering biology.
• Familiarity with the techniques of agentic AI.

We offer:

• A nurturing, supportive and stimulating environment with close mentorship to develop your scientific career and shape the future of synthetic biology through innovative computational approaches.
• An opportunity to work closely with an ambitious team of experimental biologists at the forefront of advances in synthetic biology.
• Access to state-of-the-art technologies, scientific resources, core facilities and infrastructure housed within A*STAR to facilitate your research work.
• Access to collaborations with industrial partners to translate research findings to commercial applications and societal impact.
• We welcome applicants from all background.

The above eligibility criteria are not exhaustive. A*STAR may include additional selection criteria based on its prevailing recruitment policies. These policies may be amended from time to time without notice. We regret that only shortlisted candidates will be notified.

A postdoctoral research fellow position (junior postdoc / senior postdoc) is available in the Breitling group in the Bioinformatics Institute (BII), A*STAR, Singapore in the area of Artificial Intelligence (AI) and Machine Learning (ML) for Metabolic modelling for biotechnology chassis optimisation .

In the Breitling group, we believe that computational approaches can make a real difference for scientific progress in the life sciences. We are committed to academic excellence and have created tools, such as antiSMASH, ipaPy2, RankProd and Selenzyme, that are used by thousands of researchers in academia and industry world-wide. We value curiosity, creativity and innovation, and support the intellectual growth and career development of our team members. Alumni of the Breitling group have moved on to build their own start-up companies and have joined the faculty of major universities.

The successful candidate will be part of an interdisciplinary team working on the development of computational tools to support the Design–Build–Test–Learn cycle of synthetic biology, in close collaboration with the team of experimental scientists at A*STAR’s newly established Singapore Integrative Biosystems & Engineering Research Strategic Research and Translational Thrust (SIBER SRTT).

Job Descriptions:

• Develop and validate novel AI and ML models and methods for Metabolic modelling for biotechnology chassis optimisation.
• Apply these and other state-of-the-art computational tools to inform, guide and support the work of experimental biologists and biosystems engineers.
• Work closely with the other members of the computational synthetic biology team in BII, as well as with the team of experimental biologists at SIBER SRTT, to realise the shared mission of driving synthetic biology advances towards industrial implementation.
• Present findings at seminars, meetings and national / international conferences.
• Write manuscripts for publication in high-impact scientific journals.
• Prepare high-quality software for use by the wider community of researchers.
• Apply proactively for individual research grants as part of career development and contribute to the writing of larger grant applications.
• Build and maintain strong relationships with the local and international research network.

Requirements:

• PhD in Computer Science, Bioinformatics, Computational Biology, Biochemistry, Biotechnology, Chemical Engineering, Microbiology or a related field with at least 5 years relevant experience.
• Excellent coding and software development skills, including proficiency in Python and R programming.
• Familiarity with state-of-the-art computational tools, methodology and data formats relevant for computational biology and bioengineering, with a special focus on molecular biology and metabolic engineering.
• Passion for joining a growing and dynamic group of researchers and a demonstrated ability to work independently as well as collaboratively and efficiently in an interdisciplinary team.
• Desire to work closely with experimental biologists to develop tools to drive the new green revolution towards decarbonisation and sustainable chemical production.
• Track record of peer-reviewed scientific publications in internationally recognised journals.
• Excellent communication skills both written and spoken, especially for the preparation of scientific manuscripts and reports.
• A strong interest in the translational and applied aspects of research, including collaborations with industrial partners.

Preferred Skills:

Whether you are an experienced bioinformatician excited about the possibilities of artificial intelligence, or a biology-curious machine learning expert looking for new exciting applications across disciplines, we want to hear from you. A strong willingness to learn and develop new skills is highly preferred. We will be looking for candidates with any of the following qualities:

• Experience with the application of AI/ML tools for the automated parameterisation of genome-scale metabolic models and the generation of AI virtual cells.
• Familiarity with the tools and concepts of constraint-based metabolic modelling, including resource-constrained models, metabolic network reconstruction and metabolic flux analysis.
• Deep understanding of the methodology, aims and concepts of microbial strain engineering for biotechnology.
• Strong background in AI/ML modelling, statistics, and data analysis and visualization, preferably including practical experience with deep learning frameworks (e.g., TensorFlow, PyTorch).
• Extensive domain knowledge in (bio)chemistry, molecular biology, microbiology and the concepts of synthetic biology / engineering biology.
• Familiarity with the techniques of agentic AI.

We offer:

• A nurturing, supportive and stimulating environment with close mentorship to develop your scientific career and shape the future of synthetic biology through innovative computational approaches.
• An opportunity to work closely with an ambitious team of experimental biologists at the forefront of advances in synthetic biology.
• Access to state-of-the-art technologies, scientific resources, core facilities and infrastructure housed within A*STAR to facilitate your research work.
• Access to collaborations with industrial partners to translate research findings to commercial applications and societal impact.
• We welcome applicants from all background.

The above eligibility criteria are not exhaustive. A*STAR may include additional selection criteria based on its prevailing recruitment policies. These policies may be amended from time to time without notice. We regret that only shortlisted candidates will be notified.

A postdoctoral research fellow position (junior postdoc / senior postdoc) is available in the Breitling group in the Bioinformatics Institute (BII), A*STAR, Singapore in the area of Artificial Intelligence (AI) and Machine Learning (ML) for Metabolic modelling for biotechnology chassis optimisation .

In the Breitling group, we believe that computational approaches can make a real difference for scientific progress in the life sciences. We are committed to academic excellence and have created tools, such as antiSMASH, ipaPy2, RankProd and Selenzyme, that are used by thousands of researchers in academia and industry world-wide. We value curiosity, creativity and innovation, and support the intellectual growth and career development of our team members. Alumni of the Breitling group have moved on to build their own start-up companies and have joined the faculty of major universities.

The successful candidate will be part of an interdisciplinary team working on the development of computational tools to support the Design–Build–Test–Learn cycle of synthetic biology, in close collaboration with the team of experimental scientists at A*STAR’s newly established Singapore Integrative Biosystems & Engineering Research Strategic Research and Translational Thrust (SIBER SRTT).

Job Descriptions:

• Develop and validate novel AI and ML models and methods for Metabolic modelling for biotechnology chassis optimisation.
• Apply these and other state-of-the-art computational tools to inform, guide and support the work of experimental biologists and biosystems engineers.
• Work closely with the other members of the computational synthetic biology team in BII, as well as with the team of experimental biologists at SIBER SRTT, to realise the shared mission of driving synthetic biology advances towards industrial implementation.
• Present findings at seminars, meetings and national / international conferences.
• Write manuscripts for publication in high-impact scientific journals.
• Prepare high-quality software for use by the wider community of researchers.
• Apply proactively for individual research grants as part of career development and contribute to the writing of larger grant applications.
• Build and maintain strong relationships with the local and international research network.

Requirements:

• PhD in Computer Science, Bioinformatics, Computational Biology, Biochemistry, Biotechnology, Chemical Engineering, Microbiology or a related field.
• Excellent coding and software development skills, including proficiency in Python and R programming.
• Familiarity with state-of-the-art computational tools, methodology and data formats relevant for computational biology and bioengineering, with a special focus on molecular biology and metabolic engineering.
• Passion for joining a growing and dynamic group of researchers and a demonstrated ability to work independently as well as collaboratively and efficiently in an interdisciplinary team.
• Desire to work closely with experimental biologists to develop tools to drive the new green revolution towards decarbonisation and sustainable chemical production.
• Track record of peer-reviewed scientific publications in internationally recognised journals.
• Excellent communication skills both written and spoken, especially for the preparation of scientific manuscripts and reports.
• A strong interest in the translational and applied aspects of research, including collaborations with industrial partners.

Preferred Skills:

Whether you are an experienced bioinformatician excited about the possibilities of artificial intelligence, or a biology-curious machine learning expert looking for new exciting applications across disciplines, we want to hear from you. A strong willingness to learn and develop new skills is highly preferred. We will be looking for candidates with any of the following qualities:

• Experience with the application of AI/ML tools for the automated parameterisation of genome-scale metabolic models and the generation of AI virtual cells.
• Familiarity with the tools and concepts of constraint-based metabolic modelling, including resource-constrained models, metabolic network reconstruction and metabolic flux analysis.
• Deep understanding of the methodology, aims and concepts of microbial strain engineering for biotechnology.
• Strong background in AI/ML modelling, statistics, and data analysis and visualization, preferably including practical experience with deep learning frameworks (e.g., TensorFlow, PyTorch).
• Extensive domain knowledge in (bio)chemistry, molecular biology, microbiology and the concepts of synthetic biology / engineering biology.
• Familiarity with the techniques of agentic AI.

We offer:

• A nurturing, supportive and stimulating environment with close mentorship to develop your scientific career and shape the future of synthetic biology through innovative computational approaches.
• An opportunity to work closely with an ambitious team of experimental biologists at the forefront of advances in synthetic biology.
• Access to state-of-the-art technologies, scientific resources, core facilities and infrastructure housed within A*STAR to facilitate your research work.
• Access to collaborations with industrial partners to translate research findings to commercial applications and societal impact.
• We welcome applicants from all background.

The above eligibility criteria are not exhaustive. A*STAR may include additional selection criteria based on its prevailing recruitment policies. These policies may be amended from time to time without notice. We regret that only shortlisted candidates will be notified.

A postdoctoral research fellow position (junior postdoc / senior postdoc) is available in the Breitling group in the Bioinformatics Institute (BII), A*STAR, Singapore in the area of Artificial Intelligence (AI) and Machine Learning (ML) for Computational biology for metabolomics and natural products research .

In the Breitling group, we believe that computational approaches can make a real difference for scientific progress in the life sciences. We are committed to academic excellence and have created tools, such as antiSMASH, ipaPy2, RankProd and Selenzyme, that are used by thousands of researchers in academia and industry world-wide. We value curiosity, creativity and innovation, and support the intellectual growth and career development of our team members. Alumni of the Breitling group have moved on to build their own start-up companies and have joined the faculty of major universities.

The successful candidate will be part of an interdisciplinary team working on the development of computational tools to support the Design–Build–Test–Learn cycle of synthetic biology, in close collaboration with the team of experimental scientists at A*STAR’s newly established Singapore Integrative Biosystems & Engineering Research Strategic Research and Translational Thrust (SIBER SRTT).

Job descriptions:

• Develop and validate novel AI and ML models and methods for Computational biology for metabolomics and natural products research.
• Apply these and other state-of-the-art computational tools to inform, guide and support the work of experimental biologists and biosystems engineers.
• Work closely with the other members of the computational synthetic biology team in BII, as well as with the team of experimental biologists at SIBER SRTT, to realise the shared mission of driving synthetic biology advances towards industrial implementation.
• Present findings at seminars, meetings and national / international conferences.
• Write manuscripts for publication in high-impact scientific journals.
• Prepare high-quality software for use by the wider community of researchers.
• Apply proactively for individual research grants as part of career development and contribute to the writing of larger grant applications.
• Buils and maintain strong relationships with the local and international research network.

Requirements:

• PhD in Computer Science, Bioinformatics, Computational Biology, Biochemistry, Biotechnology, Chemical Engineering, Microbiology or a related field with at least 5 years of relevant experience.
• Excellent coding and software development skills, including proficiency in Python and R programming.
• Familiarity with state-of-the-art computational tools, methodology and data formats relevant for computational biology and bioengineering, with a special focus on metabolomics and chemoinformatics, molecular biology and metabolic engineering.
• Passion for joining a growing and dynamic group of researchers and a demonstrated ability to work independently as well as collaboratively and efficiently in an interdisciplinary team.
• Desire to work closely with experimental biologists to develop tools to drive the new green revolution towards decarbonisation and sustainable chemical production.
• Track record of peer-reviewed scientific publications in internationally recognised journals.
• Excellent communication skills both spoken and written, especially for the preparation of scientific manuscripts and reports.
• A strong interest in the translational and applied aspects of research, including collaborations with industrial partners.

Preferred Skills:

Whether you are an experienced bioinformatician excited about the possibilities of artificial intelligence, or a biology-curious machine learning expert looking for new exciting applications across disciplines, we want to hear from you. A strong willingness to learn and develop new skills is highly preferred. We will be looking for candidates with any of the following qualities:

• Experience working with chemical language models and familiarity with related bioinformatics / chemoinformatics concepts.
• Experience with the annotation of LC/MS metabolome profiles.
• Strong background in AI/ML modelling, statistics, and data analysis and visualization, preferably including practical experience with deep learning frameworks (e.g., TensorFlow, PyTorch).
• Extensive domain knowledge in (bio)chemistry, molecular biology, microbiology and the concepts of synthetic biology / engineering biology.
• Familiarity with the techniques of agentic AI.

We offer:

• A nurturing, supportive and stimulating environment with close mentorship to develop your scientific career and shape the future of synthetic biology through innovative computational approaches.
• An opportunity to work closely with an ambitious team of experimental biologists at the forefront of advances in synthetic biology.
• Access to state-of-the-art technologies, scientific resources, core facilities and infrastructure housed within A*STAR to facilitate your research work.
• Access to collaborations with industrial partners to translate research findings to commercial applications and societal impact.
• We welcome applicants from all background.

The above eligibility criteria are not exhaustive. A*STAR may include additional selection criteria based on its prevailing recruitment policies. These policies may be amended from time to time without notice. We regret that only shortlisted candidates will be notified.

A postdoctoral research fellow position (junior postdoc / senior postdoc) is available in the Breitling group in the Bioinformatics Institute (BII), A*STAR, Singapore in the area of Artificial Intelligence (AI) and Machine Learning (ML) for Computational biology for metabolomics and natural products research .

In the Breitling group, we believe that computational approaches can make a real difference for scientific progress in the life sciences. We are committed to academic excellence and have created tools, such as antiSMASH, ipaPy2, RankProd and Selenzyme, that are used by thousands of researchers in academia and industry world-wide. We value curiosity, creativity and innovation, and support the intellectual growth and career development of our team members. Alumni of the Breitling group have moved on to build their own start-up companies and have joined the faculty of major universities.

The successful candidate will be part of an interdisciplinary team working on the development of computational tools to support the Design–Build–Test–Learn cycle of synthetic biology, in close collaboration with the team of experimental scientists at A*STAR’s newly established Singapore Integrative Biosystems & Engineering Research Strategic Research and Translational Thrust (SIBER SRTT).

Job descriptions:

• Develop and validate novel AI and ML models and methods for Computational biology for metabolomics and natural products research.
• Apply these and other state-of-the-art computational tools to inform, guide and support the work of experimental biologists and biosystems engineers.
• Work closely with the other members of the computational synthetic biology team in BII, as well as with the team of experimental biologists at SIBER SRTT, to realise the shared mission of driving synthetic biology advances towards industrial implementation.
• Present findings at seminars, meetings and national / international conferences.
• Write manuscripts for publication in high-impact scientific journals.
• Prepare high-quality software for use by the wider community of researchers.
• Apply proactively for individual research grants as part of career development and contribute to the writing of larger grant applications.
• Buils and maintain strong relationships with the local and international research network.

Requirements:

• PhD in Computer Science, Bioinformatics, Computational Biology, Biochemistry, Biotechnology, Chemical Engineering, Microbiology or a related field.
• Excellent coding and software development skills, including proficiency in Python and R programming.
• Familiarity with state-of-the-art computational tools, methodology and data formats relevant for computational biology and bioengineering, with a special focus on metabolomics and chemoinformatics, molecular biology and metabolic engineering.
• Passion for joining a growing and dynamic group of researchers and a demonstrated ability to work independently as well as collaboratively and efficiently in an interdisciplinary team.
• Desire to work closely with experimental biologists to develop tools to drive the new green revolution towards decarbonisation and sustainable chemical production.
• Track record of peer-reviewed scientific publications in internationally recognised journals.
• Excellent communication skills both spoken and written, especially for the preparation of scientific manuscripts and reports.
• A strong interest in the translational and applied aspects of research, including collaborations with industrial partners.

Preferred Skills:

Whether you are an experienced bioinformatician excited about the possibilities of artificial intelligence, or a biology-curious machine learning expert looking for new exciting applications across disciplines, we want to hear from you. A strong willingness to learn and develop new skills is highly preferred. We will be looking for candidates with any of the following qualities:

• Experience working with chemical language models and familiarity with related bioinformatics / chemoinformatics concepts.
• Experience with the annotation of LC/MS metabolome profiles.
• Strong background in AI/ML modelling, statistics, and data analysis and visualization, preferably including practical experience with deep learning frameworks (e.g., TensorFlow, PyTorch).
• Extensive domain knowledge in (bio)chemistry, molecular biology, microbiology and the concepts of synthetic biology / engineering biology.
• Familiarity with the techniques of agentic AI.

We offer:

• A nurturing, supportive and stimulating environment with close mentorship to develop your scientific career and shape the future of synthetic biology through innovative computational approaches.
• An opportunity to work closely with an ambitious team of experimental biologists at the forefront of advances in synthetic biology.
• Access to state-of-the-art technologies, scientific resources, core facilities and infrastructure housed within A*STAR to facilitate your research work.
• Access to collaborations with industrial partners to translate research findings to commercial applications and societal impact.
• We welcome applicants from all background.

The above eligibility criteria are not exhaustive. A*STAR may include additional selection criteria based on its prevailing recruitment policies. These policies may be amended from time to time without notice. We regret that only shortlisted candidates will be notified.