Interested applicants are invited to apply directly at the NUS Career Portal.

Your application will be processed only if you apply via NUS Career Portal.

We regret that only shortlisted candidates will be notified.

Job Description

You will work as an integral part of the laboratory operations team, providing support to the laboratory manager in operations and related laboratory duties such as core equipment training, procurement and safety matters. If you thrive in a dynamic environment and have a passion for managing laboratory operations and contributing to scientific advancements, this role could be an exciting fit for you.

Key Responsibilities

• Oversee the daily operations of the laboratory, ensuring that all processes and procedures are followed accurately and efficiently
• Facilitate training and development of laboratory users
• Support the operations team on laboratory safety and documentation
• Ensure compliance with all relevant regulations and safety standards to maintain a safe working environment
• Manage the laboratory procurement of equipment and supplies, including negotiating contracts with vendors and suppliers
• Implement and oversee maintenance schedules for laboratory equipment to ensure optimal performance and longevity
• Maintain the microfabrication cleanroom in a functional state
• Stay abreast of technological advancements to enhance operational effectiveness.
• Other ad-hoc duties

Qualifications

• Bachelor’s or Master’s Degree in Engineering or related field from a reputable university

Requirements

• Working experience in a research/laboratory environment and familiarity with research operations are preferred
• Working experience in rapid prototyping, CAD or cleanroom microfabrication is preferred, but not necessary
• Understanding of safety regulations and compliance
• Ability to work cooperatively and communicate effectively with team members and researchers
• Passionate in mastering research equipment and passing on knowledge to user

Interested applicants are invited to apply directly at the NUS Career Portal.

Your application will be processed only if you apply via NUS Career Portal.

We regret that only shortlisted candidates will be notified.

Job Description

Our team is developing an innovative phased array system for Earth observation missions. We are looking for a designer of microwave modules to join the team.

Job responsibilities include:

• Design of microwave transmit/receive modules, including power amplifiers, switches, low noise amplifiers, and mixers.
• Measurement of the modules.
• Work with other designers on the integration of antenna arrays, microwave modules, and the signal processing modules into a system.
• Participate in the testing of the complete phased array system.
• Present the R&D results in conferences and journal publications.
• Reporting of the designs and measurement results.

Qualifications

• Possess a PhD in Electrical Engineering
• Proven experience through publications in the design and measurement of microwave modules, including power amplifiers, mixers, and low noise amplifiers.
• Experience with design software such as ADS.
• Able to work independently and in a team.
• Open to fixed-term contract.

Assistant/Associate Professor

DEPARTMENT OF COMPUTER SCIENCE

Location: 510 Dover Road, Singapore

Description: Full-time Assistant Professor in Department of Computer Science, DigiPen Institute of Technology Singapore. We expect to make an appointment at the Assistant Professor Level or higher, commensurate with the candidate’s academic credentials and prior experience.

Responsibilities:

• While teaching some combination of the above subjects as determined by the selected candidate's unique synthesis of interests, he/she is also expected to teach general computer science subjects (such as operating systems, data structures, design and analysis of algorithms) at the university level. Other responsibilities include academic advising, undergraduate research advising, curriculum development, institutional service and appropriate scholarly activity.

Education and Experience Qualifications:

• PhD degree in Computer Science, Computer Engineering, or a closely related field.
• At least 4 years of industry or research experience in the field of study or a closely related area.
• Strong background in one or more following areas: C/C++ programming, Computer Graphics, Computer Architectures, Parallel Processing, Computer Networks, VR/AR, Computer Vision, Data Analysis, Distributed Computation, Cyber Security.
• Work/Teaching experience or exposure to one or more following areas: game/interactive-simulation, AI, machine learning, computer vision, data science, image processing, etc.
• 2D/3D graphic programming (OpenGL or DirectX) is an added advantage.
• A commitment to teaching excellence and scholarship is also expected.

Starting Date: Immediate

Salary: Salary is competitive and commensurate with experience and education.

Application: Review of applications will begin immediately and continue until the position is filled. For a complete application, please email a letter of interest, curriculum vitae, and statement of teaching philosophy, transcript of highest degree earned, and three letters of recommendation.

Electronic submission is required with documents in either Word or PDF format attached to an email and sent to:

Email: [email protected] with subject line “Full-time Faculty of Computer Science”.

Interested applicants are invited to apply directly at the NUS Career Portal.

Your application will be processed only if you apply via NUS Career Portal.

We regret that only shortlisted candidates will be notified.

Job Description

To investigate, through modeling and measurement, the impact of ionospheric effects on Synthetic Aperture Radar (SAR) satellite images.

Scope of work.

• Sourcing and installation of equipment to measure ionospheric effects.
• Working with SAR image providers on the tasking of SAR satellites and procurement of SAR images.
• Preparing for field trials, including the design and installation of dedicated scatterers, such as corner reflectors.
• Recording and processing of measured data.
• Collaborate with researchers from SONDRA (CentraleSupelec ONERA NUS DSO Research Alliance), which may include research stints at SONDRA in France
• Present the results at international conferences.

Qualifications

• Possess at least a PhD degree in Electrical Engineering.
• Has Hands-on experience with equipment, preferably with radio equipment, GNSS receivers, and software defined radio (SDR).
• Experience with software tools such as MATLAB.
• Positive attitude – Able to work independently and in a team.
• Meticulous, able to work well with other researchers, and commitment to meeting deadlines
• Open to fixed-term contract

Lab Website: https://sites.google.com/view/singaporepharmacometrics/

Correspondence: [email protected], [email protected]

Description:

We are the Research Data Integration group, at Bioinformatics Institute, A*STAR.

We are looking for a research officer to assist with various projects in the lab related to big data in precision medicine through the use of data science tools such as machine learning and pharmacokinetic/pharmacodynamic (PK/PD) modeling. The research officer will be expected to perform bioinformatics-related tasks, such as multi-omics analysis, compile and manage databases, and execute basic PK/PD models and analysis in R. On the job training will be provided for pharmacometrics expertise, a highly sought after skill in the field of drug development.

Responsibilities:

• Provide technical and dry-lab support to the team’s research activities.
• Assist with hands-on experiments and operations including immunofluorescent imaging and blood sampling for PK analysis.
• Follow analytic procedures and instrumental operation guidelines, plan and execute experiments independently.
• Perform data collection and analysis, present progress reports, and manage research data and notes.
• Maintain lab inventory and procurement of laboratory consumables.
• Engage in literature review and research discussion.
• Assist the team with the maintenance of smooth and safe operation in the working environment.
• Ensure project deliverables are met in a timely manner and to the highest standard.

Requirements:

• Degree in Pharmaceutical Science, Life Science, computer science, chemical engineering, or pharmacy-related discipline.
• Basic data wrangling skills in R.
• Good understanding of pharmacology concepts
• Familiarity with PK analysis software such as Monolix, WinNonlin and/or NONMEM is a plus.
• Minimum one-year data science research experience required.
• Good organizational skills and ability to multitask.
• Highly motivated, keen to learn and committed to laboratory work.
• Able to work independently and as part of a team.
• Good communication (verbal and written) and presentation skills.

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.

Job description
The candidate will be part of a team developing research projects on textual analysis and data mining. The responsibilities include but are not limited to:

• Research, develop and evaluate textual analysis algorithms and implementations
• Work with team members to develop end-to-end solutions leveraging on textual analysis and data mining for various applications domains, such as healthcare, aerospace, built environment and fintech
• Brainstorming technical solutions to address relevant industry problem statements
• Assist project leads in the execution and completion of tasks to required standards

Job requirements

• Master or Bachelor degree in STEM or AI/ML related fields
• At least 4 relevant years of experience
• AI/ML experience in industry and/or academia is highly sought
• Strong programming skills in Python (preferred) or R
• Knowledge and demonstrable experience in open-source NLP packages such as NLTK, Word2Vec, SpaCy, Gensim, Stanford CoreNLP will be a differential
• Smart and hardworking individual who can work under pressure within a tight deadline
• A good team player with can-do attitude
• Solid communication skills and problem-solving skills

Interested applicants are invited to apply directly at the NUS Career Portal.

Your application will be processed only if you apply via NUS Career Portal.

We regret that only shortlisted candidates will be notified.

Job Description

We are looking for a highly motivated and passionate post-doctoral research fellow to work on a funded research project that looks at the use of radiant systems in the tropics. Specifically, we will be optimizing the operation of radiant cooling panels with a dedicated outdoor air system. The study also aims to benchmark radiant cooling panels against other existing cooling solutions in Singapore.

• Perform measurement and verification of different operating modes of a radiant-based energy system installed in Singapore, and benchmark it against other common HVAC systems.
• Develop a predictive model of radiant system installed in Singapore.
• Develop an active data acquisition framework that identifies the most informative data for improving the model’s prediction.
• Organize, analyze and publish research in peer-reviewed scientific journals.
• Perform other duties as assigned.

Job Requirements

• PhD in Building/Mechanical Engineering with a focus on building performance and energy efficiency
• More than 4 years work experience in academia and more than 3 years work experience in industry working with HVAC and building automation systems
• Proficiency (with a demonstrated track record) in energy simulation software EnergyPlus and/or Modelica
• Proficiency (with a demonstrated track record) in working with building automation systems
• Proficiency in programming languages Python and/or R

Role and Responsibilities

• To carry out in vitro research on tocotrienols/phytonutrients/oleochemicals for various human health applications;
• To conduct human clinical trials with institutions;
• Publish scientific manuscripts in international journals;
• Work closely with fellow researchers in the R&D for effective project implementation;
• Make presentation on projects within and outside the company;
• Perform routine maintenance of laboratory equipment;
• Perform inventory update for laboratory consumables and trial materials;
• Perform general maintenance of the lab facilities;
• To build up in-house database of research results of tocotrienols and other necessary products;
• Any other tasks/projects as assigned to you by the Head of Biological Research from time to time.

Job Success Requirements

• B.Sc or Master in Biology/Biological Sciences/Biomedical Sciences or equivalents with at least 3 to 5 years working experience
• Have extensive bench work experience in biological research in mammalian cell culture, genomic & proteomic analysis. The lab techniques require including qPCR, cDNA microarray, western blotting, ELISA assay, flow cytometry, fluorescence imaging;
• Preferably the candidate has knowledge and prior experience in clinical trial management and coordination;
• Proven publication record in international scientific peer-reviewed journals;
• Excellent problem-solving skills and uses data to generate ideas and develop solutions;
• Have thorough understanding & fundamental concepts in biology and pharmacology for experimental troubleshooting & optimization;
• Be highly motivate, independent and present strong interest in a fast-paced environment;
• Competent in Microsoft Office, bibliography software (Endnote or Mendeley), GraphPad Prism, SPSS or other analytical tools.
• Proficient in both spoken and written English

Interested applicants are invited to apply directly at the NUS Career Portal.

Your application will be processed only if you apply via NUS Career Portal.

We regret that only shortlisted candidates will be notified.

Job Description

The Natural Language Processing Group at the National University of Singapore invites applications for Research Fellow in the Department of Computer Science, School of Computing, to work on large language models, with application to text summarization.

The initial appointment is for a period of one year, with possible extension subject to research funding availability.

Qualifications

The candidate should possess a PhD degree in computer science or a related discipline, and a strong publication record in natural language processing, deep learning, or related areas. Strong programming skills and good command of English (both spoken and written) are also required.

Interested candidates should apply with a cover letter, CV, degree certificates, academic transcripts, names and email addresses of 3 referees.

Dr Cai Yu Group: Assistant Research Officer

We are looking for a highly motivated individual to join our dynamic research team to study mosquito-microbiome interactions. The successful candidate will participate in the ongoing research to understand the intricate relationship between mosquitoes and Wolbachia endobacteria, with the aim of developing innovative vector control strategies. A capable candidate will have the opportunity to lead their own research project.

Requirements:

• MSc / BSc (Honors) in Biological Sciences or a related field
• Independent and critical thinking skills
• Ability to work both independently and collaboratively as part of a research team
• Basic training in molecular biology
• Good communication skills, both written and verbal

Salary and benefits are commensurable to the educational qualifications and working experience of the candidate. Benefits include annual leave, medical and flexi-benefits, etc.

Interested individuals should send their applications (including a cover letter, curriculum vitae and two recommendation letters) to:

Dr CAI Yu

Senior Principal Investigator

Temasek Life Sciences Laboratory Limited

Email: [email protected]

(Please note that only shortlisted candidates will be notified)

We are seeking two highly motivated and dedicated individuals to join our research team to study plant epigenetics and crop functional genomics. The successful candidates will play a crucial role in performing molecular experiments or crop genetic transformation as well as plant cultivation, growth, and phenotyping. In addition, you will assist in maintaining lab infrastructure. Additionally, he or she will actively participate in ongoing research projects. A capable candidate may also have the opportunity to lead his or her research project.

Requirements:

• MSc or BSc (Hons) in Biological Sciences or a related field
• Prior experience in lab research
• Ability to design experiments and work independently
• Experience with molecular biology or crop transformation is preferred
• Ability to work both independently and collaboratively as part of a research team, able to aassist in lab organization and administration
• Strong organization skills and attention to detail
• Good communication skills, both written and verbal

Salary and benefits are commensurable to the educational qualifications and working experience of the candidate. Benefits include annual leave, medical and flexi-benefits, etc.

Interested individuals should send their applications (including a cover letter, curriculum vitae and two recommendation letters) to:

Dr JIANG Danhua
Principal Investigator
Temasek Life Sciences Laboratory Limited
Email: [email protected]

(Please note that only shortlisted candidates will be notified)

A*STAR Infectious Diseases Labs (A*STAR ID Labs) is seeking for a Research Officer to join us in our mission to be a leading centre of infectious diseases research. A*STAR ID Labs aims to develop a cohesive A*STAR response to drive and deliver translational infectious diseases research to better health and economic outcomes.

The laboratory of Antimicrobial Resistance and Drug Development in A*STAR ID Labs is looking for a highly self-motivated individual to join us as a Research Officer. We are presently developing a programme on applied phage biology and are looking for a suitable candidate with experience in microbiology.

Key Responsibilities:

• Basic bacterial culture and handling
• Some knowledge on bacteriophage biology
• Design and conduct experiments including data collection and analysis.
• Summarize and present the data in lab meetings.
• Develop new research techniques and approaches.
• Collaborative spirit with internal and external collaborators
• Perform maintenance of inventory and procurement of laboratory consumables
• Ensure safe technical practices and procedures.

Job Requirements

• Bachelor Degree in Life Sciences/ Biomedical Sciences, Microbiology, Molecular Biology or related field
• 2-3 years' experience or applicants with relevant academic experience are welcome to apply.
• Highly motivated and able to work independently.
• Adaptable to working with different organisms.
• Team player with good interpersonal skills.
• Good spoken and written communication skills
• Willing to learn and feel comfortable working with various bacteria.
• Highly adaptable at working with different techniques and bacterial species.

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.

Responsibilities:

1. Collaborate with cross-functional teams (i.e., A*STAR Research Institutes, A*STAR Biomedical Research Council (BMRC), A*STAR Science and Engineering Research Council (SERC) and Innovation & Enterprise (I&E), Corporate Group and HQ Procurement) to forecast demand and to identify, execute new and/or existing Demand Aggregation projects in Consumables and Services to achieve cost savings and efficiency.
2. Negotiate contracts, terms, and conditions with suppliers.
3. Managing a list of approved suppliers and perform as functional bridge amongst suppliers as well as internal stakeholders. Evaluate and select suppliers based on performance and quality.
4. Build and maintain strong relationships with key suppliers to ensure a stable supply chain.
5. Coordinating the administrative tasks (i.e., business review meetings, etc) with the suppliers.
6. Preparing and populating monthly reports.
7. Participating and assisting with ad-hoc projects.

Requirements:

1. Degree in any relevant fields with at least 3 years of relevant experience
2. Experience in biomedical or engineering consumables purchasing is advantages
3. Possess strategic thinking skills and attention to details.
4. Strong team collaboration skills.
5. Adaptability and ability to thrive in a fast-paced environment.
6. Strong analytical and problem-solving skills.
7. Excellent negotiation and communication skills.

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.

JOB DESCRIPTION

We are looking for highly-motivated and skilled data engineer to work on a new initiative on developing advanced AI software platform for Cardiac CT diagnosis.

Successful candidate will work with a team of data scientists and data engineers to develop AI platform for hospitals and clinical trials. Successful candidate will have the opportunity to tap into a large pool of industrial data from different disciplines and to interact with the companies to understand their real data needs.

JOB REQUIREMENT

• Bachelor degree in the field of software engineering, computer science, computer engineering, mathematics and statistics, electrical engineering, or related field.
• Possess minimum 5 years of relevant work experience
• Ability to work independently to translate research ideas into programs with efficient coding
• Basic knowledge on data analytics, machine learning, data mining
• Proficient in Python, Java Script
• Prior industry experience with engineering, financial services, healthcare, or urban development is a plus
• Able to deliver under tight schedule
• Good team player with both research and engineering ethics
• Good interpersonal and communication skills

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.

Lab Website: https://sites.google.com/view/singaporepharmacometrics/

Correspondence: [email protected], [email protected]

Description:

We are the Research Data Integration group, at Bioinformatics Institute, A*STAR.

We are looking for a research officer to assist with various projects in the lab related to big data in precision medicine through the use of data science tools such as machine learning and pharmacokinetic/pharmacodynamic (PK/PD) modeling. The research officer will be expected to perform bioinformatics-related tasks, such as multi-omics analysis, compile and manage databases, and execute basic PK/PD models and analysis in R. On the job training will be provided for pharmacometrics expertise, a highly sought after skill in the field of drug development.

Responsibilities:

• Provide technical and dry-lab support to the team’s research activities.
• Assist with hands-on experiments and operations including immunofluorescent imaging and blood sampling for PK analysis.
• Follow analytic procedures and instrumental operation guidelines, plan and execute experiments independently.
• Perform data collection and analysis, present progress reports, and manage research data and notes.
• Maintain lab inventory and procurement of laboratory consumables.
• Engage in literature review and research discussion.
• Assist the team with the maintenance of smooth and safe operation in the working environment.
• Ensure project deliverables are met in a timely manner and to the highest standard.

Requirements:

• Degree in Pharmaceutical Science, Life Science, computer science, chemical engineering, or pharmacy-related discipline.
• Basic data wrangling skills in R.
• Good understanding of pharmacology concepts
• Familiarity with PK analysis software such as Monolix, WinNonlin and/or NONMEM is a plus.
• Minimum one-year data science research experience required.
• Good organizational skills and ability to multitask.
• Highly motivated, keen to learn and committed to laboratory work.
• Able to work independently and as part of a team.
• Good communication (verbal and written) and presentation skills.

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.

As a Heterogeneous Integration Engineer, candidate will play a pivotal role in integrating modules, utilizing a wide spectrum of integration processes such as pick & place and flip chip bonding to assemble multiple components into a functional module. Additionally, you will be involved in encapsulating the modules to withstand reliability tests. This is an exceptional opportunity to work with state-of-the-art heterogeneous integration equipment, engage in ground-breaking research, and explore the frontiers of advanced electronics modules.

Key responsibilities for this role include:

Process development: Drive the advancement of various heterogeneous integration processes such as pick & place, flip chip bonding, underfill, solder ball attachment, and encapsulation. Your focus will be on achieving high reliability for electronic modules. This includes evaluating processing materials, executing "design of experiments" (DoE), performing metrology inspections, and reporting including data analysis.

Intellectual property and know-how development:

Seize the opportunity to conceptualize and develop intellectual properties and valuable know-how that aligns with industry needs.

Job Requirements:

• Degree/Master in Materials Science, Mechanical, Manufacturing, Chemical or Chemistry, and Electrical or Electronics.
• At least 5 years experience in semiconductor processes such as pick & place, flip chip & encapsulation will be added advantage.
• Fresh graduate is welcome to applied for this position of “Heterogeneous Integration Engineer”.
• Strong communication, industry awareness, and problem-solving skills.
• Highly motivated to succeed, a self-starter who is driven and able to work with others effectively to get things done.

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.

Interested applicants are invited to apply directly at the NUS Career Portal.

Your application will be processed only if you apply via NUS Career Portal.

We regret that only shortlisted candidates will be notified.

Job Description

• Working on numerical modelling of weather and climate using high resolution climate models.
• Parameterization/Optimization of the climate models
• Working on Supercomputing platforms/Linux platforms for Numerical Weather Prediction and Climate Modelling
• Data processing and data analyses
• Data visualization
• Publishing research in peer reviewed journals
• Presentation of research in workshops/conferences

Qualifications

• A PhD in Climate/Atmospheric Sciences
• Good knowledge of tropical meteorology and atmospheric dynamics
• Experience in Numerical modelling with the WRF model
• Experience in handling supercomputing platforms
• Knowledge of Unix systems
• Expertise in programming languages such as NCL, GrADS, Python
• Expertise in shell scripting

Interested applicants are invited to apply directly at the NUS Career Portal.

Your application will be processed only if you apply via NUS Career Portal.

We regret that only shortlisted candidates will be notified.

Job Description

• The Research Fellow will work closely with the Principal Investigator on several research projects on using machine learning in chemical and optimization problems
• The Research Fellow will help to develop machine learning models for both theory and applications in advanced control systems

Job Requirements

• A PhD degree in a relevant area, e.g., Chemical Engineering, Control Engineering, Computer Science, Chemistry, etc.
• Experienced in machine learning, optimization and programming languages (e.g., python, Matlab, C++, etc)
• Any experience with 1) advanced control, 2) machine learning theory and applications, and 3) chemical engineering and chemistry is a plus

The veterinary officer will report to the Attending Veterinarian and Directors' Office and work closely with the veterinary team and technicians.

The role of the veterinary officer is to be responsible for, but not limited to the following:

• Ensure the welfare and health of research animals including rodents and fish
• Prevention, alleviation and minimisation of pain and distress of animals
• Provision of scientific research support, information, and services
• Development of animal husbandry systems and facility operational management
• IACUC responsibilities
• Education of scientific, animal care and ancillary staff
• Any other exigencies of duties as directed by the Attending Veterinarian, Directors, or senior BRC staff

Job Requirements:

• Degree in Veterinary Science or Veterinary Medicine with eligibility to apply for an AVS veterinary licence.
• Prior work experience in research animal facility is not required but will be considered favourably.

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.

Interested applicants are invited to apply directly at the NUS Career Portal.

Your application will be processed only if you apply via NUS Career Portal.

We regret that only shortlisted candidates will be notified.

Job Description

The successful candidate will work in a highly international and multidisciplinary environment at the Centre for Advanced 2D Materials (CA2DM) of the National University of Singapore - a world-leading research centre dedicated to the study and application of two-dimensional materials. NUS is a globally renowned institution committed to excellence in research, education and innovation.

We are seeking a proactive professional with a wide vision spanning academia to industry to join our team. The successful candidate will be responsible for:

• Independently conducting scientific and development work on 2D nanodevices applications
• Initiating, improving, and revising laboratory operations and testing procedures as necessary
• Formulating strategies for the production of nanodevices
• Developing nanodevices and computational simulations of nanodevice patterns
• Contributing to business strategy formulation
• Developing methods and processed in collaboration with universities, third-party laboratories, and suppliers
• Collaborating with researchers, postgraduates, and staff of CA2DM on research activities

Qualifications

Candidates must meet the following criteria:

• Hold an internationally-recognized Bachelor's and Master's degree in areas related to material science or engineering
• Have more than five years of hands-on experimental laboratory activities
• Have experience in laboratory management with a problem solving approach
• Demonstrate strong knowledge in nanodevices development, biosensors development, biotechnology device applications, materials processing, biomaterials functionalization, materials and nanodevices characterization techniques (e.g., FTIR, XRD, Raman, electrical impedance, optical microscopy, SEM, TEM, UV-Vis, TGA, DSC, and mass spectroscopy)
• Have experience developing magneto-elastic devices
• Have experience in writing scientific articles
• Possess strong written and verbal communication skills in English

Job Description:

The laboratory of EpiMetaGenomics (https://bensonchenlab.com) is seeking to recruit a skilled and motivated research officer interested in functional genomics. We are particularly interested in candidates with expertise in high-throughput sequencing, microbiology, molecular biology, and cell culture techniques. The candidate will work with a team to develop in vitro and in vivo functional assays, collect and process tissue samples, and assist in the day-to-day operation of the lab. Please send the resume to Dr. Chen ([email protected]) directly. Only shortlisted candidates will be contacted.

Job duties & responsibilities:

1. Laboratory maintenance: assist in organization and upkeep of laboratory supplies. Take on administrative roles where necessary, such as procurement of lab supplies, lab safety oversight… etc.

2. Laboratory procedure: perform various biological assays, including PCR, DNA/RNA purification, protein extraction, bacterial and mammalian cell culture.

3. Carefully and thoroughly document all procedures performed and results generated

4. Communicate, design, organize, and conduct the experiments efficiently. Complete assigned tasks on time.

Requirements:

• Bachelor Degree in relevant fields with at least 5 years of previous experience in a research lab
• Solid knowledge in molecular biology
• Highly motivated and passionate about scientific research
• Ability to follow protocol precisely and have excellent communication skills
• Team player and have a strong motivation to achieve the goals

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.

The Singapore Institute of Technology (SIT) is a public autonomous university and the third largest university by intake in Singapore. SIT’s mission is to innovate with industry, through an integrated applied learning and research approach, so as to contribute to the economy and society. Singapore is the small city with a big dream. We are home to the best talent and have the world’s highest per capital investment in science and technology.

We have an opening for Research Fellow or Research Engineer. The selected applicant is expected to lead and pursue high-quality research in applied artificial intelligence and sustainability that lead to publications in top-tier international conferences and journals, as well as real-world implementations. If interested, please send your resume including a cover letter, CV and a brief statement of your work undertaken in previous work.

Key Responsibilities:

• Collaborate with partners from both the academia and the industry to lead and/or conduct innovative research on, but not limited to 5G, AI, sustainability, etc.
• Contribute to academic research in the relevant domains and publish high-tier journal papers and conference papers.
• Participate in and manage the research project with Principal Investigator (PI) to ensure all project deliverables are met.
• Coordinate procurement and liaison with vendors/suppliers.
• Participate in computer science related laboratories and tutorials for undergraduate students.
• Interview and supervise student assistants in the project.

Job Requirements:

• (Research Fellow) PhD in Computer Science or a related field
• (Research Engineer) Bachelor/Master degree in Computer Science or a related field
• Proven ability to conduct independent research with a relevant publication record
• Outstanding data analytics, mathematical, and computer modelling skills
• Excellent interpersonal communication and oral presentation skills in English
• Self-driven and strong team spirit
• Open to fixed-term contract (renewable upon review of satisfactory performance)

Interested applicants are invited to apply directly at the NUS Career Portal.

Your application will be processed only if you apply via NUS Career Portal.

We regret that only shortlisted candidates will be notified.

Job Description

The successful candidate will work with Antonia Monteiro on quantifying gene expression as well as hormonal differences across male and female damselflies that have a female-limited color polymorphisms under a project on The molecular basis of male-mimicry in damselflies

The main responsibilities of the position include:
Performing RNA-Seq, hormonal extractions and analyses, to identify factors that vary across the sexes and/or across the different female forms, that can later be tested for causation using functional experiments.

Qualifications

• Qualifications / Discipline: PhD in Evolutionary biology

• Skills: Bioinformatic skills, molecular biology skills, expertise in insect husbandry

• Experience: prior expertise in damselfly collections and rearing

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 www.tum-create.edu.sg for more information about TUMCREATE.

Project Title:

Scalable Process Development for Protein Extraction from Highly Concentrated Microalgae Broths

• Abstract:

The project Proteins4Singapore aims to address Singapore's aspiration to identify domestically grown protein-rich raw materials for the production of novel foods. Proteins4Singapore microalgae which can be grown in highly urbanized environments.

In this master’s/intern project, we will focus on processing microalgae to extract fractions high in protein from concentrated biomass slurries. To facilitate industrial-scale implementation, considerations for scalability and cost-effectiveness are paramount. The initial phase involves establishing a mechanical processing method for microalgae.

Further, microalgae cultures will undergo cross-flow filtration and continuous centrifugation for dewatering. To assess the impact of viscosity on the process, viscosity, and flow index values will be determined. For disruption, high-pressure homogenization will be used on differently concentrated microalgae solutions. The goal is to determine the maximum solid load of microalgae and assess disruption efficiency with increased solid loads.

Following the disruption, debris will be separated from soluble proteins through centrifugation and cross-flow filtration. Subsequently, these solutions will be separated from potential valuable co-products, while monitoring protein stability in highly concentrated solutions. Finally, cost efficiency and economic aspects will be evaluated.

• Applied Methods:

High-Pressure Homogenization, Micro- / Ultrafiltration, Protein Analytics, Rheometry, Centrifugation

Job Responsibilities:

1. Laboratory Work and Experimentation:

• Conduct hands-on experiments related to microalgae processing, protein extraction, and separation techniques.
• Collaborate with the research team to optimize protocols and methodologies.
• Assist in developing and refining scalable processes for protein extraction.
• Investigate factors affecting efficiency, yield, and cost-effectiveness.

2. Data Collection and Analysis:

• Analyze results using appropriate statistical tools and software.
• Summarize findings from scientific literature related to microalgae processing and protein extraction.
• Contribute insights from your research to project reports and your master’s thesis.

3. Collaboration and Communication:

• Present your research findings during team meetings.
• Actively participate in discussions with fellow researchers, and project leads.

Job Requirements/Competencies:

1. Educational Background:

• Currently enrolled in a Master’s program with a reputation university in fields such as Biotechnology, Bio-/Chemical Engineering, MINT (Mathematics, Informatics, Natural Sciences, Technology)
• Possess a Bachelor’s degree with a reputable university in relevant fields, including Applied Sciences, Food Science, Biotechnology, Chemistry or related areas

2. Experience and Attitude:

• Laboratory experience is beneficial for this position.
• A strong willingness to learn, contribute, and work independently is equally important.

3. Essential Skills:

• Attention to Detail: Precise data collection and adherence to protocols.
• Analytical Thinking: Ability to interpret experimental results and troubleshoot.
• Teamwork: Collaborate effectively within a multidisciplinary team.

This internship provides an opportunity to work on cutting-edge research at the intersection of biotechnology, sustainability, and food science. The successful candidate will gain practical experience in a dynamic and international research environment and contribute to Singapore’s protein innovation landscape.

We encourage curiosity, creativity, and a passion for scientific exploration.

Feel free to reach out if you have any further questions or need clarification!

What TUM CREATE offers you

• Intern allowance
• Medical insurance support
• Good amount of leave/vacation days
• Multicultural, 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 and CV to [email protected].

Only shortlisted candidates will be contacted.

We look forward to your application.

Interested applicants are invited to apply directly at the NUS Career Portal.

Your application will be processed only if you apply via NUS Career Portal.

We regret that only shortlisted candidates will be notified.

Job Description

The National University of Singapore invites applications for Research Fellow in the department of Ophthalmology, Yong Loo Lin School of Medicine. The department’s current data science efforts focus on building consciousness inspired machine learning to improve generalization and robustness of AI in medicine. The department has strong computational and medical expertise and significant amount of medical data and computational resources. Appointments will be made on a 2-year contract basis in the first instance, with the possibility of extension – amend as appropriate.

Purpose of the post

The post doc fellow will be responsible to, and work closely with, the Principal Investigator and study team members to ensure the successful completion of the machine learning projects on time. The principal role will be to work in AI and/or big data analytics project such as modeling building and algorithm development.

Main Duties and Responsibilities

The post doc fellow will liaise with the relevant personnel in department to smooth the process of research and will be accountable to the Principle Investigator (PI) and will be able to:

1. Independently conduct deep/machine learning in medicine or fundamental deep/machine learning projects under instruction by the PI
2. Oversee the general management of the projects.
3. Provide administrative and secretarial support to the project, such as organizing regular meetings to maintain regular communication with other members of the research team
4. Maintain the highest standard of professional conduct and record keeping in accordance with policies and procedures.
5. Assist with any other duties of a similar nature that are delegated by the PI.

Qualifications

The applicant should:

1. holds a PhD degree and higher in computer science, engineering, biomedical informatics, data science, or related disciplines;
2. be able to work independently and in a team, have an investigative nature, attention to detail;
3. have strong knowledge of deep/machine learning or biomedical informatics;
4. have experiences in the fundamental deep/machine learning or deep/machine learning in medicine

Remuneration will be commensurate with the candidate’s qualifications and experience.

Formal application: Please submit your application, indicating current/expected salary, supported by a detailed CV (including personal particulars, academic and employment history, complete list of publications/oral presentations and full contacts of three (3) referees to this job portal.