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 Assistant for CAR-T cell manufacturing program in the Immune Cell Engineering Laboratory of the National University of Singapore. Our group is committed to delivering transformative and novel cellular therapies for patients with cancer. We have a strong track record of successful cell manufacturing for clinical trials in accordance with regulatory guidelines. Appointments will be made on a 2-year contract basis in the first instance, with the possibility of extension.

Purpose of the post

The role of the research assistant is to support immune cell manufacturing, including CAR-T cells, for several ongoing clinical trials. We are seeking highly motivated, conscientious and meticulous individuals to join our experienced team, be trained in Good Manufacturing Practices (GMP) and be involved in research aimed at improving the treatment of patients with cancer.

Main Duties and Responsibilities

1. work in a (GMP)-certified facility manufacturing immune cells for clinical use, including CAR-T cells.
2. apply various techniques in tissue culture, molecular biology, flow cytometry under rigorous GMP conditions, for which training will be provided.
3. work effectively within a team of other skilled cell engineers
4. be able to practice meticulous bookkeeping and documentation in accordance with regulatory requirements
5. Maintain the highest standard of professional conduct and record keeping in accordance with policies and procedures.
6. Assist with any other duties of a similar nature that are delegated by the PI.

Qualifications

The applicant should:

1. Have a Bachelor of Science degree in Biomedical Sciences (those with no experience are welcome to apply)
2. Have experience in general laboratory techniques, especially aseptic tissue culture techniques
3. Be able to work independently and in a team, have an investigative nature with great attention to detail
4. Have knowledge of computer applications, e.g. MS word, MS excel

Application

Remuneration will be commensurate with the candidate’s qualifications and experience. Informal enquiries are welcome and should be made to Dr Bernice Oh at paeolzb@nus.edu.sg

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.

We regret that only shortlisted candidates will be notified.

The College of Computing & Data Science (CCDS) invites applications for the position of Research Assistant.

Key Responsibilities:

• Develop mathematical modeling of real-time edge intelligent algorithms to support multimedia-based metaverse services
• Develop and implement optimization algorithms for resource management by using mathematical tools and machine learning techniques

Job Requirements:

• Bachelor's degree in Computer Science, Electrical Engineering, or related disciplines
• Strong research experience
• Good track record of publications
• Good teamwork and collaboration skills
• Research background in stochastic process, machine learning, and optimization

We regret that only shortlisted candidates will be notified.

The College of Computing & Data Science (CCDS) invites applications for the position of Research Assistant. The successful applicant will be responsible for the development of algorithms for building systems for data management.

Key Responsibilities:

• Designing and developing scalable algorithms for processing data of large scale.
• Writing research papers of high quality based on research results
• Building deployable systems based on the research results.

Job Requirements:

• Bachelor’s degree in Computer Science/Engineering or related disciplines.
• Proficient in Python and C/C++ programming.
• Experience in machine learning and deep learning method.
• Excellent background in algorithms and database systems
• Excellent background and research experience in data mining algorithms, data management, machine learning, and probabilistic models.
• Experience in machine learning and deep learning method.
• Excellent verbal and written communication and interpersonal skills.
• Strong sense of responsibility and work with minimal supervision.
• Ability to be flexible and adapt to new situations in a rapidly changing research environment.

We regret that only shortlisted candidates will be notified.

The School of Electrical and Electronic Engineering (EEE) is seeking to hire a Research Assistant to work on new device concepts for cryogenic electronics in i-Lab. The successful candidate will have access to state-of-the-art cleanroom facilities and measurement equipment, as well as opportunities for interdisciplinary collaborations.

Key Responsibilities:

Support i-Lab in the areas including:

• Electromagnetic simulation of semiconductor components
• Design and modeling of nanoelectronic devices based on compound semiconductors
• Experimental studies on nanoelectronics devices at room temperature and cryogenic temperatures

Job Requirements:

• Bachelor degree in Electrical Engineering or related field
• Knowledge in electromagnetic analysis using AWR or similar software
• Knowledge in design and simulation of RF circuits
• Knowledge in experimental methodologies to characterize RF circuits and components
• Proficiency in English is essential for conducting experimental studies
• Good team working skills

We regret to inform that only shortlisted candidates will be notified.

The Energy Research Institute @ NTU (ERI@N) invites applications for the position of Research Assistant.

Key Responsibilities:

• Work synergistically with the team members and assist the PI and Co-I in experimental designs, conducting experiments, and troubleshooting.
• Assist in project management and summarise the findings in this project and produce the progress reports, final report and scientific recommendations.
• Support to the development, experimentation, data collection and troubleshooting of the carbon capture and resource recovery system.

Job Requirements:

• B.Eng./B.Sc. in Chemistry, Chemical Engineering, Materials Engineering, Environmental Engineering, or any other related field.
• Experience with handling, testing and treatment of brine, flue gas, electrochemical system and/or related processes is preferred.
• Excellent teamwork awareness, good interpersonal. English writing and communication skills.
• Productive, hard-working and dedicated to the completion of any task assigned.

We regret that only shortlisted candidates will be notified.

Basic Salary - $2000-$2500 (Full Time)

Basic Salary - $1600 (Part Time)

Work Scope:

- Collaborate with Heads of Department (HODs) to plan and formulate training strategies, overseeing training needs analysis.

- Prepare training documents with input from HODs.

- Work with HODs to launch talent development initiatives and enhance the effectiveness of learning and training sessions.

- Manage training programs and collaborate with the regional office on the implementation of e-learning platforms (LMS).

- Supervise Employee Engagement and Communications.

- Open to undertaking additional responsibilities and projects as needed.

Pre-Requisites

- ITE graduate or completed secondary school education. (Training will be provided)

- Well organized and able to work independently to meet deadlines.

- Able to communicate well with all levels of people

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 Assistant will work closely with the Principal Investigator (PI) to design and build desirable microstructure to enhance mechanical properties of steels by additive manufacturing.

The job scope of this position is:

• Conducting literature reviews and understanding state of the art
• Planning and implementing experiments
• Developing simulation models to guide microstructural engineering
• Analysing the experimental and simulation data
• Writing progress reports and research papers

Qualifications

• Bachelors/Masters Degree in Materials Science or Mechanical Engineering
• Knowledge of metallurgy and microstructural engineering is highly required
• Expertise in microstructural characterisation techniques (e.g. TEM, EBSD and FIB) and mechanical testing
• Expertise in numerical simulations (e.g. phase field, FEM)
• Experience with metal additive manufacturing (e.g. powder bed fusion, directed energy deposition) will be advantageous
• Good publication record will be advantageous
• Self-motivated, good team player

The School of Computer Science and Engineering (SCSE) invites applications for the position of Research Assistant.

Key Responsibilities:

• Collaborate with a PhD student to collect a large scale of out-of-distribution datasets.
• Collaborate with a research fellow to implement algorithms aimed at enhancing machine intelligence through compositionality.
• Apply developed algorithms to real-world applications with sparse data.

Job Requirements:

• Bachelor’s degree in computer science, software engineering, mathematics, or a related field.
• Background in machine learning.
• Proficiency in programming languages such as Python, and experience with machine learning libraries (e.g., TensorFlow, PyTorch).
• Excellent problem-solving skills and ability to work as part of a team.
• Passion for applying machine learning algorithms to real-world problems, particularly in domains with limited data.
• Effective communication skills and ability to convey complex technical concepts to both technical and non-technical stakeholders.

We regret that only shortlisted candidates will be notified.

The School of Civil and Environmental Engineering invites applications for the position of Research Assistant. 

Key Responsibilities: 

• Manage onsite monitoring program, with responsibilities includes, but not limited to, onsite operation, sampling and analysis, reporting etc.

• Carry out routine instrument maintenance and calibration.

• Perform onsite sample collection and sample analysis.

• Be familiar with data processing to develop standard N2O measurement protocols.

• Assist in wastewater and GHG related modelling work.

• Liaise with funding agency and collaborators, prepare reports and meeting presentations.

Job Requirements: 

• Bachelor in Environmental Engineering, Chemical Engineering, or other related fields

• Prior experience in wastewater treatment operation, as well as skills to work independently in an outdoor environment is highly favorable.

• Experience in onsite hands-on work and reactor operations.

• Prior experience in wastewater-related work will be preferred.

• Good communication and interpersonal skills.

• Proficiency in spoken and written English

We regret that only shortlisted candidates will be notified.

The School of Civil and Environmental Engineering invites applications for the position of Research Assistant.

Key Responsibilities:

• Manage onsite monitoring program, with responsibilities includes, but not limited to, onsite operation, sampling and analysis, reporting etc.
• Carry out routine instrument maintenance and calibration.
• Perform onsite sample collection and sample analysis.
• Be familiar with data processing to develop standard N2O measurement protocols.
• Assist in wastewater and GHG related modelling work.
• Liaise with funding agency and collaborators, prepare reports and meeting presentations.

Job Requirements:

• Bachelor in Environmental Engineering, Chemical Engineering, or other related fields
• Prior experience in wastewater treatment operation, as well as skills to work independently in an outdoor environment is highly favorable.
• Experience in onsite hands-on work and reactor operations.
• Prior experience in wastewater-related work will be preferred.
• Good communication and interpersonal skills.
• Proficiency in spoken and written English

We regret that only shortlisted candidates will be notified.

APPLICATION INSTRUCTIONS:

• CURRENT PENN STATE EMPLOYEE (faculty, staff, technical service, or student), please login to Workday to complete the internal application process. Please do not apply here, apply internally through Workday.

• CURRENT PENN STATE STUDENT (not employed previously at the university) and seeking employment with Penn State, please login to Workday to complete the student application process. Please do not apply here, apply internally through Workday.

• If you are NOT a current employee or student, please click “Apply” and complete the application process for external applicants.

JOB DESCRIPTION AND POSITION REQUIREMENTS:

A non-tenure-line Professor of Practice or Assistant Research Professor position is available in the biotechnology laboratory of Professor Tonya Peeples at The Pennsylvania State University. We are seeking a highly qualified and experienced researcher in the field of biotechnology, pharmaceuticals, chemical engineering, chemistry, biomolecular engineering, or a related discipline.

The successful candidate will engage in research activities and be responsible for laboratory management, including training and research mentoring of students. In addition, the successful candidate will mentor student organizations and provide support to Engineering Summer Bridge and similar student enrichment programs.

The Assistant Research Professor should possess at least a master's degree or its equivalent in biotechnology, pharmaceuticals, chemical engineering, chemistry, biomedical engineering, or a closely related field by the start date. In addition, they must have demonstrated ability as a researcher and must have shown evidence of professional growth and scholarship in their discipline. Prior industry experience is preferred. The title of Professor of Practice should be reserved for persons who have accumulated a decade or more of high level and leadership experience in the private or public sectors outside the academy that would provide a unique background and wealth of knowledge that is of particular value as it is shared with the University's students and other faculty.

This is a term appointment, funded for three years from date of hire, with a possibility of renewal.

Penn State is committed to and accountable for advancing diversity, equity, and inclusion in all of its forms. We embrace individual uniqueness, foster a culture of inclusion that supports both broad and specific diversity initiatives, leverage the educational and institutional benefits of diversity, and engage all individuals to help them thrive. We value inclusion as a core strength and an essential element of our public service mission.

CAMPUS SECURITY CRIME STATISTICS:

Embark on a dynamic journey with The Centre of Hardware Assurance (CHA), Temasek Laboratories@NTU, as we seek a passionate Research Assistant to be part of the research team to conduct hardware security analysis and evaluation. This exciting role encompasses sample preparation, imaging, image processing, and the cutting-edge security analysis of electronic devices. Join us at the forefront of innovation and make your mark in shaping the future of hardware assurance!

Key Responsibilities:

• Engage in innovative research in the realm of hardware security analysis, utilizing state-of-the-art facilities and advanced techniques widely employed in the semiconductor industry
• Contribute to the planning, study, and investigation of workflows dedicated to electronic device security analysis
• Elevate the efficiency and accuracy of the developed security analysis workflows, setting new standards for throughput and scientific excellence

Job Requirements:

• Bachelor’s Degree in Materials Science and Engineering, Electrical and Electronic Engineering, Computer Engineering, Physical and Mathematical Sciences or relevant disciplines
• Basic knowledge in microelectronics is required, and knowledge in failure analysis is a plus
• Excellent verbal and written communication skills
• Problem solving, research and analytical skills
• Independent and can work well in a team
• Singaporean only

We regret to inform that only shortlisted candidates will be notified.

Embark on a dynamic journey with The Centre of Hardware Assurance (CHA), Temasek Laboratories@NTU, as we seek a passionate Research Assistant to be part of the research team to conduct hardware security analysis and evaluation. This exciting role encompasses sample preparation, imaging, image processing, and the cutting-edge security analysis of electronic devices. Join us at the forefront of innovation and make your mark in shaping the future of hardware assurance!

Key Responsibilities:

• Engage in innovative research in the realm of hardware security analysis, utilizing state-of-the-art facilities and advanced techniques widely employed in the semiconductor industry

• Contribute to the planning, study, and investigation of workflows dedicated to electronic device security analysis

• Elevate the efficiency and accuracy of the developed security analysis workflows, setting new standards for throughput and scientific excellence

Job Requirements:

• Bachelor’s Degree in Materials Science and Engineering, Electrical and Electronic Engineering, Computer Engineering, Physical and Mathematical Sciences or relevant disciplines

• Basic knowledge in microelectronics is required, and knowledge in failure analysis is a plus

• Excellent verbal and written communication skills

• Problem solving, research and analytical skills

• Independent and can work well in a team

• Singaporean only

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

Job Requirements

• A Bachelor 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