Total 76 job vacancies by Singapore University Of Technology And Design

The Humanities, Arts, and Social Sciences (HASS) Cluster at Singapore University of Technology and Design (SUTD) seeks applicants for a full-time lecturer or senior lecturer teaching-track position in the social sciences. Appointments will be made on an initial two- or three-year contract with the possibility of renewal, including opportunities for career development and promotion within the teaching-track.

We seek applicants from any of the social sciences (economics, sociology, anthropology, psychology, etc.) who have a strong background and interest in teaching classical and contemporary social science theory and methods. Successful applicants will teach in our team-taught introductory core course Social Science: Understanding Culture, Society and Behaviour. In addition, successful applicants will also teach 1 or 2 electives of their own design that contribute to our cluster’s teaching mission as a HASS cluster within an engineering and design university.

Candidates who can contribute through teaching and research to our Minor Degree program in Design, Technology, and Society—a design-focused variant of Science, Technology, and Society studies (STS)—are especially encouraged to apply. Potential to teach in our new Master’s degree in Human-Centred Design is also valued.

Applicants should have a Ph.D. in a social science discipline (broadly construed), with a proven track record of effective teaching and research in the applicant’s field of specialty.

The teaching load for teaching-track faculty is 6.5 course credits per calendar year.

Application Details

SUTD is a new research university established in collaboration with MIT and offers degrees in engineering, computer science, and architecture with a strong emphasis on nurturing socially cognizant innovators, technologists, designers, and entrepreneurs. The HASS department plays a pivotal role in the university’s commitment to world-class teaching and research excellence. The current HASS faculty bring core expertise in anthropology, history, literature, psychology, sociology, urban studies, and the digital humanities.

Candidates should submit the following materials through the SUTD Careers page.

1. A cover letter

2. A curriculum vitae

3. A statement of teaching experience and philosophy

4. A statement of current and future research plans

5. A 500-word description and selected bibliography of up to ten readings for two courses you may wish to offer OR two course syllabi

6. A writing sample, such as a submitted journal article

7. Names, affiliations, and email addresses of two references. Please note that candidates who advance to the interview stage will be asked to submit two letters of recommendation at that point. Please have your recommenders ready to send their letters via Interfolio or another means.

The Singapore University of Technology and Design (SUTD) is a young and innovative university with a unique educational structure and mission of creating a better world by design. SUTD was established in 2009 as the fourth public funded university in Singapore in collaboration with MIT and Zhejiang University.

With a small student-to-faculty ratio, an innovative active-based learning pedagogy, an interdisciplinary pillar organization, a stellar faculty, and a beautiful new campus, SUTD aims to nurture future technological leaders in engineering and architecture. SUTD is considered by international experts as an emerging leader in its engineering education.

http://news.mit.edu/2018/reimagining-and-rethinking-engineering-education-0327

We invite applications for a teaching track position at lecturer or senior lecturer level at the Science, Mathematics and Technology (SMT) Cluster. Duties include teaching of undergraduate and continuous education courses, advising undergraduate student projects, conducting pedagogical research, creating innovative curriculum, student outreach, and service to SUTD and the community. We are particularly interested in individuals with a strong and genuine interest in promoting STEM education at levels.

The minimal qualifications for the faculty position include:

1. An earned doctorate in Applied Mathematics, Physics, Bioinformatics or related engineering fields,
2. A strong passion and high competence in teaching applied mathematics, physics, modeling/simulation and related courses at the undergraduate levels,
3. Excellent communication skills,
4. Prior teaching experience including experience in technology-enabled learning, is preferred,
5. Prior experience in pedagogy research is preferred,
6. A demonstrated record of, or potential, for teaching to industry partners, and
7. A demonstrated record of, or potential, for scholarly research.

Requirements

Please submit your full application package, it should include:

1. Statement of interest / Cover letter
2. Teaching statement and prior teaching experience
3. Past student feedback, if applicable
4. Research statement
5. Full resume with profile, and publication list
6. Sample of published works
7. Contact information of 3 referees

Job Title: Postdoctoral Researcher in Transportation Mode Choice and Car Ownership Decisions

Job Description:

We are seeking a highly motivated and skilled Postdoctoral Researcher to join our team and contribute to an exciting project focused on understanding individual decisions regarding car ownership and transportation mode choice. The successful candidate will utilize advanced machine learning techniques to analyze real-world data and develop models that elucidate the factors influencing these decisions. This research aims to provide valuable insights for policymakers, urban planners, and transportation authorities to design more efficient and sustainable transportation systems.

Key Responsibilities:

1. Conduct in-depth literaturereviews to understand existing theories and methodologies related to transportation mode choice and car ownership decisions.
2. Collect, preprocess, and analyze large-scale datasets containing information on individual travel behavior, demographic characteristics, urban infrastructure, and environmental factors.
3. Develop machine learning models, including but not limited to regression, classification, and clustering algorithms, to identify patterns and predict individual choices regarding car ownership and transportation mode.
4. Collaborate with interdisciplinary team members including researchers in transportation engineering, urban planning, and data science to integrate findings into comprehensive frameworks.
5. Communicate research findings through high-quality publications in peer-reviewed journals, conference presentations, and reports.
6. Assist in the supervision of graduate students and contribute to the intellectual environment of the research group by participating in discussions, seminars, and workshops.
7. Engage with stakeholders such as government agencies, industry partners, and community organizations to disseminate research outcomes and facilitate knowledge exchange.

Qualifications:

1. A Ph.D. in transportation engineering, urban planning, computer science, applied mathematics, statistics, or a related field.
2. Strong background in machine learning, statistical analysis, and data mining techniques, with experience in applying these methods to real-world datasets.
3. Proficiency in programming languages commonly used in data analysis such as Python, R, or MATLAB.
4. Familiarity with transportation modeling software (e.g., TRANSIMS, MATSim) and geographic information systems (GIS) is advantageous.
5. Excellent written and oral communication skills, demonstrated through a track record of publications in reputable journals and presentations at academic conferences.
6. Ability to work both independently and collaboratively in a multidisciplinary research environment, with a proactive and creative approach to problem-solving.
7. Prior experience in transportation research, particularly in the areas of mode choice modeling, travel behavior analysis, or urban mobility, is preferred but not required.

Duration and Remuneration:

The position is full-time and renewable annually, contingent upon satisfactory performance and funding availability. The salary will be commensurate with qualifications and experience, in accordance with institutional guidelines for postdoctoral researchers.

Singapore University of Technology and Design immediately invites applications for multiple Research Assistant positions to work in Singapore, in the following areas:

· Robust perception, planning, and control for field robots
· Simultaneous localization and mapping
· Experimental robotics
· Novel mechanism synthesis and analysis

The position requires a M.Eng./M.Sc. in Engineering Product Development/Information System/ Mechanical/Electrical and Electronics/Computer Engineering or a related area.

Candidates are expected to possess experience in field robotic systems as evidenced by developmental project experiences/publications. Strong commitment to research and development is essential.

Job Scope:

The job scope includes the design and implementation of natural language processing algorithms that can perform fundamental research in the field of natural language processing, which can lead to significant research outputs.

Qualifications & Skills:

• Bachelor’s / Master's degree in computer science or related discipline
• Strong background in statistics, mathematics, system implementation, software engineering, and programming ability
• Track record of research experience and publications in the area of artificial intelligence, machine learning, information extraction, and natural language processing
• Proven experience in the implementation and evaluation of machine learning algorithms

The Singapore University of Technology and Design (SUTD) has a Research Assistant position in software engineering and computer science education research. The Research Assistant will be required to engage in the design, development, testing, and integration of tools that provide automated feedback and scoring for programming submissions. The Research Assistant will also support research user studies to test the tools for usability and its efficacy for learning. The Research Assistant will have the opportunity to participate in writing research publications about their work. The work environment is friendly and intellectually stimulating.

Qualifications & Experience:

• Bachelor’s degree in Computer Science, Computer Engineering, Information Systems, or a related technical field.
• The development of these technologies requires experience in Python and JavaScript programming, familiarity with the Linux/Unix OS, and associated compilation/build tools.
• Experience with web frameworks, API development, chatbot development, and Large Language Models is advantageous.
• Prior experience in software development is advantageous.
• Diploma holders with a minimum of two years of experience with programming projects using Python and JavaScript are welcome.

Interested candidates may apply, along with a copy of their most recent CV, by writing to Oka Kurniawan [email protected].

Job Position: Research Engineer

Job Description

We are seeking machine learning and image recognition specialist to join our project team. The ideal candidate preferably has the background in machine learning techniques and image recognition algorithms to solve complex problems and improve project outcomes. You will work closely with a multidisciplinary team to develop, implement, and optimize ML models that are critical to the success of our projects.

• Design, develop, and deploy machine learning models and image recognition algorithms tailored to project-specific requirements.
• Collaborate with cross-functional teams to understand project needs, gather, and analyse requirements, and deliver ML-driven solutions.
• Conduct data collection, preprocessing, and augmentation to create training datasets.
• Implement and optimize image recognition models for accuracy, efficiency, and scalability.
• Evaluate model performance using appropriate metrics and make necessary adjustments to improve outcomes.
• Stay abreast of developments in machine learning and image recognition fields to incorporate cutting-edge technologies and methodologies into project solutions.
• Document model development processes, algorithms, and performance metrics.
• Provide technical guidance and mentorship to team members on machine learning and image recognition best practices.

Required/Desired Skills

• Experience in machine learning and image recognition, with a strong portfolio of project work that demonstrates expertise in these areas.
• Proficiency in programming languages such as Python, and familiarity with ML libraries (e.g., TensorFlow, PyTorch) and computer vision libraries (e.g., OpenCV).
• Experience with deep learning architectures (CNNs, RNNs, GANs) specifically designed for image processing tasks.
• Analytical skills with the ability to solve complex problems independently and as part of a team.

Required/Desired Qualifications

• Bachelor’s or master’s degree in Electronics & computer science, Artificial Intelligence, or a related field.

Experiences

Minimum 3 years’ experience in machine learning and image recognition within a technology/research organisation. Fresh graduate with relevant knowledge and skills will be considered.

This Research Assistant position will provide opportunities and responsibilities in the following areas:

1. Cleanroom equipment handling and nanofabrication process development

2. Optical and electrical experimental setup and measurements

3. Other administrative and technical matters related to assisting PhD students and postdocs in research

Candidates should have a min Bachelor Degree. We regret to inform that only shortlisted candidates will be notified.

We have a job opening for Senior Research Assistant position at the Bio-inspired Robotics and Design Laboratory (https://brd.sutd.edu.sg) at SUTD.

The roles:

The Senior Research Assistant (RA) will support fundamental and applied research in Soft Robot Design by developing novel soft and hybrid mechanisms, actuation, and sensing technologies for next-generation applications in both harsh and delicate environments.

We are looking for researchers with a passion for design and innovation and keen to work with a multi-disciplinary team.

Responsibilities:

• Mechanism design and prototyping for a variety of applications including grasping, sensing, actuation, and locomotion

• Design and run experiments in both laboratory environments and real application environments

Key requirements:

• Bachelors or Masters degree in Mechanical Engineering, Design, or Industrial Design

• Experience with Mechanism Design & Prototyping

• Experience with CAD (SolidWorks, Rhino 3D)

• Familiarity with Soft Robotics and Product Design processes is a plus but not a requirement

The Edge AI Acceleration Lab (https://sites.google.com/view/bowang/home) in Singapore University of Technology and Design, Singapore is leading a project on Energy Efficient, Distributed Green Streaming Machine Learning for Edges with Prof. Zehui Xiong (https://sites.google.com/view/zehuixiong), who is a Clarivate Highly Cited Researcher. The team is looking for a highly motivated post-doc Research Fellow. The ideal candidate is expected to hold a Ph.D. degree with expertise in one of the following domains:

1. Streaming Machine Learning with performance/energy modeling, parallelization framework, or hybrid-model learning
2. Load shedding techniques, efficient workload offloading, or fault-tolerant mechanisms
3. Streaming compression algorithm implementation, or AI-guided automatic system tuning

The team provides first-class facilities. Please email [email protected] with your CV if you're interested in the position.

The Singapore University of Technology and Design is looking for a candidate who will be involved in a research project on Geometry Modeling and Computational Design. This project aims to develop computational methods and tools for modeling and design of 3D tileable assemblies.

Responsibilities/expectations will include:

• Develop computational methods to model and design 3D tileable assemblies.
• Implement the computational methods by programming.
• Support principal investigator in writing technical papers and project reports.
• Support principal investigator in advising PhD students.

Skills and Qualifications:

• PhD degree in Computer Science, Applied Mathematics, or a related field.
• Proficient in programming with C/C++ or Python.
• Experience in computer graphics, geometry modeling, and/or computational design.
• Strong publication record in computer graphics.

Research Associate/Assistant (Urban Environmental Sustainability)

The Lee Kuan Yew Centre for Innovative Cities at the Singapore University of Technology and Design is seeking a full-time Research Associate or (Senior) Research Assistant, to join a growing research team focusing on addressing critical urban environmental sustainability challenges.

Successful applicants will contribute to a project that applies a transdisciplinary approach to investigate individuals’ discounting of the impact of climate change in Singapore, and how we can use the everyday shared experience of urban heat to unlock pathways for addressing the inertia towards climate action.

Candidates should possess a strong interest in transdisciplinary research and urban environmental sustainability. Expertise in quantitative research methods and a background in social and/or behavioral science will be a plus.

This position is ideal for individuals interested in pursuing an academic/industry research career.

The candidate will be expected to:

• Conduct and write literature reviews
• Participate in fieldwork and data collection
• Contribute towards quantitative and/or qualitative data analyses
• Assist in the preparation of manuscripts and reports for publications
• Collaborate and communicate research updates with both internal and external stakeholders
• Support the team in project management of the research (e.g., budgeting, liaising with external collaborators, project administrative duties)

Skills and qualifications required:

• A bachelor’s or master’s degree related to the social sciences, behavioural sciences, or environmental studies
• Demonstrable skills in quantitative and/or qualitative data collection and analysis
• Excellent written and verbal communication skills
• Strong interest or knowledge in urban environmental sustainability
• Strong organizational and data management skills
• Proficiency with statistical software (e.g., STATA, R, SPSS) is a plus

How to apply:

Interested applicants are encouraged to send their application with the subject heading – Research Associate/Assistant (Urban Environmental Sustainability) to [email protected] with the following:

• Cover letter explaining your interest in the position and addressing the qualifications and skills requirements (1-2 pages)
• Curriculum vitae
• Two writing samples of publication or research work
• Three referees who may be contacted for a reference

We regret that only shortlisted candidates will be notified. Applications will be reviewed and will continue until the position is filled.

Singapore University of Technology & Design (SUTD) is embarking on its next phase of growth. With a bold vision and ambition, together with its innovative approach to education, multi-disciplinary research and pervasive partnerships with industry, government, and global universities, we will deliver a truly unique and exciting university experience for our students to create a better world by design.

SUTD is hiring non-tenure track faculty in multiple academic fields and levels of experience to support its mission of revolutionising research and education for Design and Artificial Intelligence (AI). The goal is to make connections between AI and design thinking methodologies as well as to apply AI-driven design across products, systems, services, and the built environment, by encompassing technology, human and business. Candidates are expected to have demonstrated ability too conduct outstanding research and education, as well as activities that research beyond academia for external engagement and impact.

Job Requirements

The Design and Artificial Intelligence (DAI) programme invites applications to fill several non-tenure track faculty positions. Appointments will be jointly affiliated with one of the academic pillars/clusters in SUTD. Highly qualified applicants with a substantial track record of research accomplishments, an active research program, and strong teaching experience may be considered for full appointment as tenured full professor.

The candidate (s) should possess a strong creative foundation with a passion for pushing the limits across engineering, computing, architecture and the design disciplines, ranging from computational applications, systems and tools; to design innovation, human-machine interfaces, human-computer interfaces, user experience and user interface design, advanced manufacturing and prototyping for design, methods, in product and service development and innovation, machine-system design, and design teaching and learning methods. Applications of the candidate’s (s’) research and practice preferably should align to the strategic growth areas of the University, including healthcare, cities, aviation, or artificial intelligence, and other areas of importance to communities, regions, cities and nations.

Candidates should possess a PhD in an engineering, computer science or design related fields, with demonstrated commitment to excellence in teaching at the undergraduate and graduate levels; in service to the university, profession, and community; and in developing and maintaining an active and funded research programme. Exceptional candidates all areas will be considered, but priority will be given to those in the following areas:

· Service Design with AI

· Product Design with AI

· Spatial Design with AI

· Systems Design with AI

Interested and qualified candidates should apply online via https://careers.sutd.edu.sg/job/Singapore-Faculty-Member-%28Design-and-Artificial-Intelligence%29-138682/16414744/

Singapore University of Technology and Design immediately invites applications for multiple Research Assistant positions to work in Singapore, in the following areas:
· Robust perception, planning, and control for field robots
· Simultaneous localization and mapping
· Experimental robotics
· Novel mechanism synthesis and analysis

The position requires a M.Eng./M.Sc. in Engineering Product Development/Information System/ Mechanical/Electrical and Electronics/Computer Engineering or a related area.

Candidates are expected to possess experience in field robotic systems as evidenced by developmental project experiences/publications. Strong commitment to research and development is essential.

We are inviting applicants for the position of Senior Research Assistant to work on projects at the intersection of artificial intelligence and architecture. The successful candidate will work with researchers from other domains to implement deep learning models with spatial and geometric datasets across the design scales of products, buildings and cities.

Requirements:

· Proficient programming skills.

· Good interdisciplinary approach in working with 3D real-world datasets.

· Strong design knowledge in architecture, and urban planning.

· Experience with deep learning frameworks

The candidate should hold a Masters in computer science, AI, data science, architecture or other related field.

The Research Assistant / Senior Research Assistant will conduct research in deep learning and Artificial Intelligence, perform experiments, and publish research papers in top-tier venues.

Qualifications & Experiences:

• Bachelor's / Master's degree in computer science, engineering, or a related field with a focus on computer vision, and an advanced level of understanding and expertise in the field.
• Proficiency in programming languages (Python)
• Familiarity with computer vision libraries and tools (such as OpenCV, TensorFlow, PyTorch) is essential.

The Singapore University of Technology and Design (SUTD) is offering position for research fellow who will work closely with Dr. Meixia Lin working on various projects about Numerical Optimization, Convex and Non-Convex Optimization, Optimal Transport, Machine Learninig, and others.

The position is expected to last from one to two years. The start date is negotiable.

The candidate is expected to have a PhD in applied mathematics, computer science, or electrical engineering and a strong publication record in optimization or machine learning.

Priority will be given to those who have some computational experience.

We have several available postdoctoral positions at the Singapore University of Technology and Design (SUTD) to work in the area of Robotics. This position focus on supporting the design of algorithm for various robotics applications.

Qualification:
- Relevant PhD Degree in Electrical Engineering, , Mechanical Engineering, Robotics, or related areas
- Strong hands on experience Preference will be given to those with prior robotics project experience such as:
1) SLAM;
2) ROS;
3) Sensor fusion;
4) Machine Learning;
5) Mobile platforms (eg: wheeled robots, legged robots); and
6) Manipulators

Applications, assembled as a single PDF file, should contain a complete resume, full list of publications, as well as the names and contact information of up to three references. Interested applicants may send his/her CV to Assoc/Prof U-Xuan Tan via email ( [email protected] ). Review of applications will continue until the position is filled. Only shortlisted candidates will be notified.

We have several available research assistant positions at the Singapore University of Technology and Design (SUTD) to work in the area of Robotics. This position focus on supporting the design of algorithm for various robotics applications.

Qualification:
- Relevant Degree in Electrical Engineering, , Mechanical Engineering, Robotics, or related areas
- Strong hands on experience Preference will be given to those with prior robotics project experience such as:
1) SLAM;
2) ROS;
3) Sensor fusion;
4) Mobile platforms (eg: wheeled robots, legged robots); and
5) Manipulators

Applications, assembled as a single PDF file, should contain a complete resume, full list of publications, as well as the names and contact information of up to three references. Interested applicants may send his/her CV to Asst Prof U-Xuan Tan via email ( [email protected] ). Review of applications will continue until the position is filled. Only shortlisted candidates will be notified.

Job Summary: We are seeking a highly motivated and skilled Senior Research Assistant / Research Associate to join our team and contribute to our ongoing projects in the field of 3D reconstruction. The successful candidate will work closely with our research team to develop novel algorithms and techniques for 3D reconstruction from various data sources. This is an exciting opportunity to be involved in cutting-edge research and make a significant impact in the field.

Responsibilities:

• Conduct research in the area of 3D reconstruction, focusing on developing innovative algorithms and methodologies.
• Design and implement experiments to validate the proposed approaches.
• Analyze and interpret data obtained from different sources, including images, point clouds, and sensor data.
• Stay up-to-date with the latest advancements in 3D reconstruction and related fields, and integrate new findings into research projects.
• Prepare research papers and reports for publication in reputable conferences and journals.
• Present research findings at conferences and other relevant events.

Qualifications:

• A master degree in Computer Science, Electrical Engineering, or a related field, with a focus on computer vision, image processing, or 3D reconstruction.
• Strong background in 3D geometry, computer vision, and machine learning.
• Proficiency in programming languages such as Python, C++, or MATLAB.
• Experience with relevant software libraries and frameworks, such as OpenCV, PCL, or Pytorch.
• Solid understanding of mathematical concepts related to 3D reconstruction, including geometry, optimization, and statistical methods.
• Track record of publishing research papers in reputable conferences or journals.
• Excellent problem-solving and analytical skills.
• Strong communication skills and the ability to work effectively in a collaborative research environment.

The Singapore University of Tecnology is looking for a Research Assistant in the area of networked systems and cybersecurity. The successful applicant will work closely with a team of researchers and engineers to design and develop novel solutions for various types of networked systems (including industrial control systems and 5G systems).

Qualification & Experience:

• Bachelor's / Master's in Computer Science, Computer Engineering, or related discipline.
• Expertise in computer networks and cybersecurity.
• Research experience, technical skillset, and strong publication records in the area of networked systems, cybersecurity, or related areas.
• Strong software skills
• Ability to work well in a collaborating team setting
• Good written/oral communication skills in English

A postdoctoral research fellow position is available at the Singapore University of Technology and Design (SUTD). The research focuses on semantic communications, resource allocation, and edge AI.

Candidates with strong publication records in relevant areas are encouraged to apply. The candidate should have:

• A recent PhD degree in communications and networking, computer sciences, operations research, or applied mathematics
• Strong publication record in top-tier IEEE / ACM / OR / Math conferences/journals
• Proficient in oral and written English

Kindly note that only shortlisted candidates will be notified.

Job Description:

The Research Fellow will be working on the development of theories and algorithms for non-terrestrial networks. Deliverables include publications and patents.

Experience and Skills:

• PhD in Electrical Engineering and Computer Science
• Research experience with strong research publications
• Expert in networking, optimization, and machine learning

The work at SUTD offers opportunity, an environment, a culture – and benefits – that just aren't found together anywhere else. If you're curious, motivated, want to be part of a unique community, and help shape the future – then take a look at this opportunity.

Research Fellow, Science, Mathematics and Technology Cluster – LBELL group, to work on cutting-edge brain-inspired computing research as a member of the group that includes Desmond Loke and Yu Jiang. There will be a possibility to work with external collaborators for the deployment of brain-inspired computing algorithms.

Job Scope

• The candidate will join an interdisciplinary and highly collaborative team of Scientists and Engineers.
• Responsible for enhancing the LBELL group's capability in brain-inspired computing development, and design of algorithms, overseeing model development and technology use, maintenance, and troubleshooting;
• Communicating results to the scientific community through publications and presentations; and
• Supervising undergraduate students and laboratory technicians.

Job requirements

Required: a Ph.D. in mathematics, computer science or a related field; prior experience with machine learning, programming is required; experience with software system; strong interpersonal and oral presentation skills; self-motivation; and attention to detail. Must be able to follow safety protocols and maintain a safe work environment, contribute as part of a multidisciplinary team, execute detailed technical procedures meticulously, and prioritise and perform multiple tasks in a dynamic work environment. Supervisory experience is preferred.

SUTD invites applications for a Research Fellow position in a research project to develop intelligent, secure, and resilient future communications systems. In particular, to support a diverse set of use cases with ever-increasing requirements, the architectural design of 5G and future 6G systems emphasizes software-defined reconfigurability and AI-enabled intelligent operations. Open RAN --- as a generic term used by the community for an open radio access network architecture --- is viewed as a promising way to achieve this design objective. While open RAN promotes interoperable interfaces, RAN virtualization, and support for big data and AI-enabled RAN, its success requires us to overcome multiple challenges --- in particular, how to build intelligence and adaptability into such a system while still providing high assurance regarding its security and resilience. Our project aims to lay a solid foundation for designing secure and resilient open RAN systems.

The application should contain a complete resume, a cover letter describing the applicant's background (a PhD in Computer Science, Computer Engineering, Telecommunications, or related disciplines, is required), past research experience and technical skillset, and contact information of up to three references.