15 Computer Vision jobs in Australia
Senior Software Engineer - Computer Vision
Posted 5 days ago
Job Viewed
Job Description
LexisNexis Risk Solutions is the essential partner in the assessment of risk. Within our Business Services vertical, we offer a multitude of solutions focused on helping businesses of all sizes drive higher revenue growth, maximize operational efficiencies, and improve customer experience. Our solutions help our customers solve difficult problems in the areas of Anti-Money Laundering/Counter Terrorist Financing, Identity Authentication & Verification, Fraud and Credit Risk mitigation and Customer Data Management. You can learn more about LexisNexis Risk at the link below, our Team:
IDVerse is a Sydney-based start-up that is a global pioneer in the development of digital identity
verification technology. We've built everything from the ground up and have a broad range of blue-chip customers across banking, telecommunications, government and more. We've perfected the technology locally in Australia and New Zealand and are quickly expanding into the northern hemisphere.
Join a strong team of passionate engineers and build a world-class platform to fight identity fraud at a global scale.
About the Role:
The Senior Software Engineer focuses on developing advanced systems to detect and prevent spoofing attacks during biometric authentication processes. This role involves utilizing machine learning and deep learning techniques to create models capable of distinguishing between genuine human interactions and fraudulent attempts.
Please ensure that your resume is kept between 1-2 and a max of 3 pages.
Responsibilities:
+ Liveness Detection System Design: Develop and design liveness detection systems that utilize AI algorithms to differentiate between real and fake biometric data. This includes analyzing facial features, eye movements, and other physiological indicators.
+ Deep Learning Model Development: Build and optimize deep learning models specifically for liveness detection. This involves selecting appropriate algorithms, conducting experiments, and optimizing model parameters to enhance accuracy and reliability.
+ Feature Engineering: Identify and extract features from biometric data that are crucial for detecting spoofing attempts. This includes texture analysis, motion-based detection, and 3D depth analysis.
+ Data Collection and Preprocessing: Collaborate with data scientists to collect, clean, and preprocess large datasets required for training liveness detection models. Ensure data integrity and suitability for model development.
+ Algorithm Implementation: Implement machine learning algorithms capable of processing real time biometric data to detect inconsistencies indicative of spoofing attempts. This includes integrating multimodal approaches such as facial recognition, fingerprint scanning, and iris recognition.
+ System Testing and Validation: Conduct rigorous testing of liveness detection systems to ensure performance in real-world scenarios. Validate models against various spoofing techniques to ensure robustness.
+ Monitoring and Maintenance: Deploy liveness detection systems into production environments, ensuring scalability and high performance. Continuously monitor system outputs to identify any issues with accuracy or efficiency.
Requirements:
+ Machine Learning Expertise: In-depth understanding of machine learning frameworks such as TensorFlow, Keras, or PyTorch. Experience in developing deep learning models is essential.
+ Programming Skills: Proficiency in programming languages such as Python, Java, or R for model development and algorithm implementation.
+ Analytical Skills: Strong problem-solving abilities with a solid grasp of statistics, probability theory, and data analysis techniques.
+ Collaboration Skills: Ability to work effectively with cross-functional teams (including data scientists, software engineers, and product managers) to achieve common goals.
+ Experience in similar roles focusing on anti-spoofing or biometric security systems.
+ Bachelor's degree in Computer Science, Mathematics, or a related field.
+ Familiarity with anti-spoofing standards for biometrics such as NIST ISO/IEC 30107 or FIDO. Innovative mindset with a passion for continuous learning and keeping up with the latest advancements in AI and machine learning technologies.
Working for you
+ We know that your wellbeing and happiness are key to a long and successful career. These are some of the benefits we are delighted to offer:
+ Discounted Health plan rate and Optical Assistance
+ Life assurance and income protection
+ Option to buy additional Annual Leave days
+ Employee Assistance Program
+ Flexible working arrangements
+ Benefits for you and your family
+ Access to learning and development resources
Your recruiter will advise you on the full benefits package for your location
Learn more about the LexisNexis Risk team and how we work
We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact 1- .
Criminals may pose as recruiters asking for money or personal information. We never request money or banking details from job applicants. Learn more about spotting and avoiding scams here .
Please read our Candidate Privacy Policy .
We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law.
USA Job Seekers:
EEO Know Your Rights .
RELX is a global provider of information-based analytics and decision tools for professional and business customers, enabling them to make better decisions, get better results and be more productive.
Our purpose is to benefit society by developing products that help researchers advance scientific knowledge; doctors and nurses improve the lives of patients; lawyers promote the rule of law and achieve justice and fair results for their clients; businesses and governments prevent fraud; consumers access financial services and get fair prices on insurance; and customers learn about markets and complete transactions.
Our purpose guides our actions beyond the products that we develop. It defines us as a company. Every day across RELX our employees are inspired to undertake initiatives that make unique contributions to society and the communities in which we operate.
Senior Software Engineer - Computer Vision
Posted 5 days ago
Job Viewed
Job Description
LexisNexis Risk Solutions is the essential partner in the assessment of risk. Within our Business Services vertical, we offer a multitude of solutions focused on helping businesses of all sizes drive higher revenue growth, maximize operational efficiencies, and improve customer experience. Our solutions help our customers solve difficult problems in the areas of Anti-Money Laundering/Counter Terrorist Financing, Identity Authentication & Verification, Fraud and Credit Risk mitigation and Customer Data Management. You can learn more about LexisNexis Risk at the link below, our Team:
IDVerse is a Sydney-based start-up that is a global pioneer in the development of digital identity
verification technology. We've built everything from the ground up and have a broad range of blue-chip customers across banking, telecommunications, government and more. We've perfected the technology locally in Australia and New Zealand and are quickly expanding into the northern hemisphere.
Join a strong team of passionate engineers and build a world-class platform to fight identity fraud at a global scale.
About the Role:
The Senior Software Engineer focuses on developing advanced systems to detect and prevent spoofing attacks during biometric authentication processes. This role involves utilizing machine learning and deep learning techniques to create models capable of distinguishing between genuine human interactions and fraudulent attempts.
Please ensure that your resume is kept between 1-2 and a max of 3 pages.
Responsibilities:
+ Liveness Detection System Design: Develop and design liveness detection systems that utilize AI algorithms to differentiate between real and fake biometric data. This includes analyzing facial features, eye movements, and other physiological indicators.
+ Deep Learning Model Development: Build and optimize deep learning models specifically for liveness detection. This involves selecting appropriate algorithms, conducting experiments, and optimizing model parameters to enhance accuracy and reliability.
+ Feature Engineering: Identify and extract features from biometric data that are crucial for detecting spoofing attempts. This includes texture analysis, motion-based detection, and 3D depth analysis.
+ Data Collection and Preprocessing: Collaborate with data scientists to collect, clean, and preprocess large datasets required for training liveness detection models. Ensure data integrity and suitability for model development.
+ Algorithm Implementation: Implement machine learning algorithms capable of processing real time biometric data to detect inconsistencies indicative of spoofing attempts. This includes integrating multimodal approaches such as facial recognition, fingerprint scanning, and iris recognition.
+ System Testing and Validation: Conduct rigorous testing of liveness detection systems to ensure performance in real-world scenarios. Validate models against various spoofing techniques to ensure robustness.
+ Monitoring and Maintenance: Deploy liveness detection systems into production environments, ensuring scalability and high performance. Continuously monitor system outputs to identify any issues with accuracy or efficiency.
Requirements:
+ Machine Learning Expertise: In-depth understanding of machine learning frameworks such as TensorFlow, Keras, or PyTorch. Experience in developing deep learning models is essential.
+ Programming Skills: Proficiency in programming languages such as Python, Java, or R for model development and algorithm implementation.
+ Analytical Skills: Strong problem-solving abilities with a solid grasp of statistics, probability theory, and data analysis techniques.
+ Collaboration Skills: Ability to work effectively with cross-functional teams (including data scientists, software engineers, and product managers) to achieve common goals.
+ Experience in similar roles focusing on anti-spoofing or biometric security systems.
+ Bachelor's degree in Computer Science, Mathematics, or a related field.
+ Familiarity with anti-spoofing standards for biometrics such as NIST ISO/IEC 30107 or FIDO. Innovative mindset with a passion for continuous learning and keeping up with the latest advancements in AI and machine learning technologies.
Working for you
+ We know that your wellbeing and happiness are key to a long and successful career. These are some of the benefits we are delighted to offer:
+ Discounted Health plan rate and Optical Assistance
+ Life assurance and income protection
+ Option to buy additional Annual Leave days
+ Employee Assistance Program
+ Flexible working arrangements
+ Benefits for you and your family
+ Access to learning and development resources
Your recruiter will advise you on the full benefits package for your location
Learn more about the LexisNexis Risk team and how we work
We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact 1- .
Criminals may pose as recruiters asking for money or personal information. We never request money or banking details from job applicants. Learn more about spotting and avoiding scams here .
Please read our Candidate Privacy Policy .
We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law.
USA Job Seekers:
EEO Know Your Rights .
RELX is a global provider of information-based analytics and decision tools for professional and business customers, enabling them to make better decisions, get better results and be more productive.
Our purpose is to benefit society by developing products that help researchers advance scientific knowledge; doctors and nurses improve the lives of patients; lawyers promote the rule of law and achieve justice and fair results for their clients; businesses and governments prevent fraud; consumers access financial services and get fair prices on insurance; and customers learn about markets and complete transactions.
Our purpose guides our actions beyond the products that we develop. It defines us as a company. Every day across RELX our employees are inspired to undertake initiatives that make unique contributions to society and the communities in which we operate.
Computer Vision Scientist , International Machine Learning, Australia
Posted 23 days ago
Job Viewed
Job Description
** Join Our Innovative Computer Vision Team at Amazon, Australia **
Are you passionate about developing generative models to transform the next generation of e-commerce platform and build AI models used by millions of customers? We invite you to be part of our high-performing Computer Vision team at Amazon located in Melbourne, Australia.
As a member of our international Machine Learning group, you will play a key role in developing generative AI solutions that leverage vast amounts of Amazon data and powerful cloud computing resources.
Our mission is to create next-generation media content that delivers an unforgettable shopping experience for our customers in emerging marketplaces. We are seeking talented Computer Vision Scientists with a Ph.D. in a related field. This is an opportunity for you to build innovative AI techniques that tackle real-world business challenges. Join a team dedicated to advancing AI technology at Amazon and transforming it into impactful business solutions.
#austechjobs
Key job responsibilities
- Develop scalable machine learning and computer vision solutions to revamp the media block of our catalog
- Analyze and extract meaningful insights from large volumes of Amazon's data to automate and enhance content
- Design, build, and evaluate generative AI models tailored to our business use cases
- Communicate clearly with business stakeholders to understand and align on requirements
- Conduct cutting-edge research and implement novel machine learning techniques to solve customer problems
- Mentor interns and junior scientists
- Publish papers at Tier-1 CV/ML conferences
Basic Qualifications
- PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience
- Experience programming in Java, C++, Python or related language
- Have publications on top-tier conferences, such as CVPR, ICCV, ECCV or NeurIPS
- Experience in state-of-the-art deep learning models architecture design and deep learning training and optimization and model pruning
Preferred Qualifications
- Experience developing and implementing deep learning algorithms, particularly with respect to computer vision algorithms
- 5+ years of building machine learning models or developing algorithms for business application experience
- Experience using Unix/Linux
- Experience with popular deep learning frameworks such as MxNet and Tensor Flow
Acknowledgement of country:
In the spirit of reconciliation Amazon acknowledges the Traditional Custodians of country throughout Australia and their connections to land, sea and community. We pay our respect to their elders past and present and extend that respect to all Aboriginal and Torres Strait Islander peoples today.
IDE statement:
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.
2026 Applied Science Intern (Computer Vision)
Posted 5 days ago
Job Viewed
Job Description
Are you excited about leveraging state-of-the-art Computer Vision algorithms and large datasets to solve real-world problems? Join Amazon as an Applied Scientist Intern and be at the forefront of AI innovation!
As an Applied Scientist Intern, you'll work in a fast-paced, cross-disciplinary team of pioneering researchers. You'll tackle complex problems, developing solutions that either build on existing academic and industrial research or stem from your own innovative thinking. Your work may even find its way into customer-facing products, making a real-world impact.
Please note: This internship is a duration of 6 months full time with a start date in Jan-March 2026.
The successful intern is required to be based in Melbourne and relocation allowance will be provided if you are based outside of Melbourne.
Key job responsibilities
- Develop novel solutions and build prototypes
- Work on complex problems in Computer Vision and Machine Learning
- Contribute to research that could significantly impact Amazon's operations
- Collaborate with a diverse team of experts in a fast-paced environment
- Collaborate with scientists on writing and submitting papers to Tier-1 conferences (e.g., CVPR, ICCV, NeurIPS, ICML)
- Present your research findings to both technical and non-technical audiences
Key Opportunities:
- Collaborate with leading machine learning researchers
- Access cutting-edge tools and hardware (large GPU clusters)
- Address challenges at an unparalleled scale
- Become a disruptor, innovator, and problem solver in the field of computer vision
- Potentially deliver solutions to production in customer-facing applications
- Opportunities to become an FTE after the internship
Join us in shaping the future of AI at Amazon. Apply now and turn your research into real-world solutions!
Basic Qualifications
- Currently enrolled in a PhD program in Computer Science, Electrical Engineering, Mathematics, or related field, with specialization in Computer Vision or Machine Learning
- Experience in computer vision or related fields
- Strong programming skills (Python preferred)
Preferred Qualifications
- Research experience in Computer Vision, Deep Learning, or broader Machine Learning.
- Publications in top-tier conferences such as CVPR, ICCV, NeurIPS, ICML, ICLR, ECCV, etc. Please list these publications on your resume.
Acknowledgement of country:
In the spirit of reconciliation Amazon acknowledges the Traditional Custodians of country throughout Australia and their connections to land, sea and community. We pay our respect to their elders past and present and extend that respect to all Aboriginal and Torres Strait Islander peoples today.
IDE statement:
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.
Machine learning and artificial intelligence and environmental
Posted 8 days ago
Job Viewed
Job Description
This position is no longer available.
University: Universitat Politècnica de Catalunya
Country: Spain
Deadline: Not specified
Fields: Computer Science, Data Science, Electrical Engineering, Environmental Science, Applied Mathematics
The SANS research group (Statistical Analysis of Networks and Systems) at the Universitat Politècnica de Catalunya (UPC) invites applications for a competitive 3-year PhD fellowship within the Computer Architecture PhD track. This opportunity is aimed at highly motivated candidates interested in developing advanced Machine Learning and Artificial Intelligence algorithms for the analysis of Internet of Things (IoT) data, with real-world applications in air pollution monitoring, climate change, digital twins, and related areas.
Successful candidates will have the opportunity to work with large-scale, real-world datasets collected from state-of-the-art IoT monitoring systems and participate in experimental deployments designed to maximize the societal and environmental impact of their research.
Requirements
– Demonstrated motivation to apply mathematical and computational methods to address real-world challenges
– Interest in data-driven research with significant environmental and societal implications
– Strong background in a relevant field (e.g., computer science, engineering, mathematics, environmental science)
– Excellent analytical and problem-solving skills
The position is based in Barcelona, Spain, and offers a pre-doctoral contract for three years.
For additional information, please visit: />
Also See
- Ireland – Fully Funded PhD in Environmental Economics at University of Galway
- MSc and PhD Opportunities in AI, Image Processing, and IoT at University of Manitoba
- Fully Funded PhD and MS Positions in Structural Health Monitoring at UTRGV
- Switzerland – PhD in Environmental Engineering at Eawag/ETH Zurich
- Fully Funded PhD Position in Edge AI and Sustainable Computing at University of Vienna
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Machine Learning Scientist, Amazon International Machine Learning
Posted 23 days ago
Job Viewed
Job Description
Amazon has a rare opportunity for a talented Machine Learning Scientist to join an international team of ML experts changing the way our customers experience the everything store.
At Amazon's International Machine Learning team, we partner with businesses across the Amazon ecosystem to drive innovation and deliver exceptional experiences for customers around the globe. Our team works on large-scale, high-impact projects that leverage the latest advancements in machine learning and artificial intelligence.
As part of Amazon's Research and Development organization, you will have the opportunity to push the boundaries of applied science and deploy cutting-edge solutions that directly benefit millions of Amazon customers worldwide. Whether you are developing next-generation recommender systems, exploring the frontiers of generative AI, or tackling novel scientific challenges, your work at Amazon has the power to truly change the world. Join us in this exciting journey as we redefine the present and the future of innovative applied science.
Key job responsibilities
- You will take on complex problems, work on solutions that either leverage or extend existing academic and industrial research, and utilize your own out-of-the-box pragmatic thinking.
- In addition to coming up with novel solutions and building prototypes, you will deliver these to production in customer facing applications, in partnership with product and development teams.
- You will publish papers internally and/or externally, contributing to advancing knowledge in the field of information retrieval and machine learning.
About the team
Our team is composed of scientists with PhDs, with a strong publication profile and an appetite to see the impact of innovation on real-world systems at scale.
Basic Qualifications
- PhD in computer science, electrical engineering, or related field
- Experience building machine learning models or developing algorithms for business application
- Experience in solving business problems through machine learning, data mining and statistical algorithms
- Experience in patents or publications at top-tier peer-reviewed conferences or journals
Preferred Qualifications
- 3+ years of building machine learning models or developing algorithms for business application experience
Acknowledgement of country:
In the spirit of reconciliation Amazon acknowledges the Traditional Custodians of country throughout Australia and their connections to land, sea and community. We pay our respect to their elders past and present and extend that respect to all Aboriginal and Torres Strait Islander peoples today.
IDE statement:
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.
Machine learning center
Posted 8 days ago
Job Viewed
Job Description
This position is no longer available.
University: CISPA Helmholtz Center
Country: Germany
Deadline: September 10, 2025
The Rational Intelligence Lab at the CISPA Helmholtz Center for Information Security in Saarbrücken, Germany, invites applications for a postdoctoral position in Rational Machine Learning. This opportunity is open to researchers with a strong background in machine learning, statistics, economics, or related disciplines.
Requirements
– PhD in Computer Science, Statistics, Economics, Artificial Intelligence, Data Science, or a closely related field
– Interest and experience in areas such as causality, game theory, uncertainty quantification, large language models, generative AI, or recommender systems
– Demonstrated research excellence through publications or relevant projects
– Eligibility to apply for the Marie Skłodowska-Curie Postdoctoral Fellowship
Successful Candidates Will
– Work in a vibrant, international AI research environment
– Collaborate with leading institutions, including MPI, DFKI, and ELLIS
– Engage in interdisciplinary research and contribute to the advancement of rational machine learning
Application Procedure
– For detailed eligibility and application guidelines, please refer to the Marie Skłodowska-Curie Postdoctoral Fellowship: />
– For more information about the research group, visit: />
– Interested candidates may contact for further inquiries.
Application Deadline: September 10, 2025
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Machine learning researcher - group
Posted 14 days ago
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Job Description
Overview
Susquehanna is expanding the Machine Learning group and seeking exceptional researchers to join our dynamic team. As a Machine Learning Researcher, you will apply advanced ML techniques to a wide range of forecasting challenges, including time series analysis, natural language understanding, and more. Your work will directly influence our trading strategies and decision-making processes.
This is a unique opportunity to work at the intersection of cutting-edge research and real-world impact, leveraging one of the highest-quality financial datasets in the industry.
What You'll Do
- Conduct research and develop ML models to enhance trading strategies, with a focus on deep learning and scalable deployment
- Collaborate with researchers, developers, and traders to improve existing models and explore new algorithmic approaches
- Design and run experiments using the latest ML tools and frameworks
- Develop automation tools to streamline research and system development
- Apply rigorous scientific methods to extract signals from complex datasets and shape our understanding of market behavior
- Partner with engineering teams to implement and test models in production environments
We're looking for research scientists with a proven track record of applying deep learning to solve complex, high-impact problems. The ideal candidate will have a strong grasp of diverse machine learning techniques and a passion for experimenting with model architectures, feature engineering, and hyperparameter tuning to produce resilient and high-performing models.
- PhD in Computer Science, Machine Learning, Mathematics, Physics, Statistics, or a related field
- Strong track record of applying ML in academic or industry settings, with 5+ years of experience building impactful deep learning systems
- A strong publication record in top-tier conferences such as NeurIPS, ICML, or ICLR
- Strong programming skills in Python and/or C++
- Practical knowledge of ML libraries and frameworks, such as PyTorch or TensorFlow, especially in production environments
- Hands-on experience applying deep learning on time series data
- Strong foundation in mathematics, statistics, and algorithm design
- Excellent problem-solving skills with a creative, research-driven mindset
- Demonstrated ability to work collaboratively in team-oriented environments
- A passion for solving complex problems and a drive to innovate in a fast-paced, competitive environment
- Collaborate with a world-class team of researchers, engineers, and traders
- Gain access to best-in-class financial data and high-performance computing resources
- Directly impact real-time trading performance through your work
- Thrive in a collaborative, intellectually rigorous environment with a global footprint
Machine learning and physics university
Posted 8 days ago
Job Viewed
Job Description
This position is no longer available.
University: University of Illinois Chicago
Country: United States
Deadline: Spring 2026
Fields: Computer Science, Robotics, Mechanical Engineering, Electrical Engineering, Artificial Intelligence, Applied Physics
Applications are invited for PhD positions in the Computer Science Department at the University of Illinois Chicago (UIC), beginning Spring 2026, under the supervision of Dr. Yifan Zhou. The research focus is on developing foundational technologies that enable robots to understand and interact with their environment through proactive engagement, integrating physics modeling and machine learning, especially in low-data regimes.
Requirements
– Background in computer science, robotics, engineering, or related fields
– Interest in physics-based modeling, optimization, machine learning, and hardware design
– Motivation to work on interdisciplinary research combining visual-tactile perception and predictive modeling
– Ability to communicate research interests and academic background effectively
Application Process
Interested candidates should email Dr. Yifan Zhou at with a brief self-introduction and their most recent CV. Please begin your email subject line with (Prospective Student). Further information about Dr. Zhou’s research can be found at />
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- USA – Fully Funded PhD in Robotics at University of Illinois Urbana-Champaign
- USA – PhD in Virtual Reality & HCI at University of Illinois Urbana-Champaign
- Graduate Student Position in Marine Microbial Ecology at NIU
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Opportunities machine learning and biological data
Posted 7 days ago
Job Viewed
Job Description
This position is no longer available.
University: Johns Hopkins University
Country: United States
Deadline: Not specified
Fields: Computer Science, Data Science, Bioinformatics, Computational Biology, Statistics
The Chitra Lab at the Department of Computer Science, Johns Hopkins University, with affiliation to the Data Science and AI Institute, is seeking highly motivated students and researchers to join our team. Our lab focuses on developing advanced machine learning and statistical methods for the analysis and interpretation of high-dimensional and multi-modal biological data. We aim to address fundamental problems in biology through novel AI algorithms.
Research Areas Of Interest Include
– Single-cell and spatial multi-omics
– Genetic perturbations
– Biological network analysis
– Anomaly detection in biological datasets
We invite applications from individuals interested in pursuing positions as postdoctoral researchers, PhD students, Master’s students, or undergraduate researchers. Applicants should have a strong background or interest in computer science, data science, bioinformatics, computational biology, or statistics.
For more information and application details, please visit our website: />
For inquiries, contact Dr. Uthsav Chitra at:
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- PhD Opportunity in Symbolic AI and Reasoning Under Uncertainty at TU Delft
- Two Postdoctoral Positions in Biofabrication at the MERLN Institute, Maastricht University
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