Career

CAREER OPPORTUNITIES

The Faculty of Science (FOS) and the Institute of Applied Data Analytics (IADA) invite highly qualified candidates to apply for a faculty position in Digital Science or IADA in the following areas of specialisation.

Professor | Associate Professor | Senior Assistant Professor| Assistant Professor |  Lecturer

 DS01 User Experience and Human-Machine Interaction

Applicants must have a PhD in Computer Science or related fields specializing User Experience and Human-Machine Interaction, Augmented/Virtual/Mixed Reality and Multimedia technologies, with relevant experience in Web and Mobile Application Development. Applicants must demonstrate a track record in research. Teaching experience, both at undergraduate and post graduate levels, is an added advantage, and successful candidate is expected to participate in the teaching and development of undergraduate and graduate courses, including the supervision of undergraduate and graduate research students. Successful applicant is also expected to participate in administrative activities of the faculty.


Professor | Associate Professor | Senior Assistant Professor| Assistant Professor |  Lecturer

 DS02 Digital Technologies in Business and Innovation

Applicants must have a PhD in Computer Science or related fields with the knowledge in IR 4.0 and its implications to business, economy and workforce such as Digital Design and Transformation, Digital Business Intelligence, Digital Supply Chain Management and Entrepreneurship for Digital Scientists. Applicants must demonstrate a track record in research. Teaching experience, both at undergraduate and post graduate levels, is an added advantage, and successful candidate is expected to participate in the teaching and development of undergraduate and graduate courses, including the supervision of undergraduate and graduate research students. Successful applicant is also expected to participate in administrative activities of the faculty.

Professor | Associate Professor | Senior Assistant Professor| Assistant Professor | Lecturer

 DS03 Software Engineering and Development

Applicants must have a PhD in Computer Science or related fields specializing in software engineering and have sound knowledge in software development process and tools including web and mobile application development.  Knowledge in enterprise IT design, large scale industrial software development, enterprise integration and ecological adaptation will be added advantage. Applicants must demonstrate a track record in research. Teaching experience, both at undergraduate and post graduate levels, is an added advantage, and successful candidate is expected to participate in the teaching and development of undergraduate and graduate courses, including the supervision of undergraduate and graduate research students. The successful candidate will be responsible in the development and operation of the software development training programs catering for lifelong learning students.  Successful applicant is also expected to participate in administrative activities of the faculty.


Professor | Associate Professor | Senior Assistant Professor| Assistant Professor |  Lecturer

 DS04 Smart Systems

 Applicants must have a PhD in Computer Science or related fields with sound knowledge and experience in smart systems in IR 4.0 such as smart agriculture, smart home and smart cities.  The candidate is preferable to have a multi-disciplinary background in application of smart technologies in engineering, mechanical, electronic systems and prototyping (manufacturing).  Applicants must demonstrate a track record in research. Teaching experience, both at undergraduate and postgraduate levels, is an added advantage, and successful candidates are expected to participate in the teaching and development of undergraduate and graduate courses, including the supervision of undergraduate and graduate research students. Successful applicants are also expected to participate in administrative activities of the faculty.

Professor | Associate Professor | Senior Assistant Professor| Assistant Professor |  Lecturer

 DS05 Cybersecurity & Network Security

Applicants must have a PhD in Computer Science or related fields specializing in Cybersecurity, Network Security, Digital Forensics and Application and System Software Security. Applicants must demonstrate a track record in research. Teaching experience, both at undergraduate and postgraduate levels, is an added advantage, and successful candidates are expected to participate in the teaching of undergraduate and graduate courses, including the supervision of undergraduate and graduate research students. Successful applicants are also expected to participate in administrative activities of the faculty.

Professor | Associate Professor | Senior Assistant Professor| Assistant Professor | Lecturer

 IADA06 Genomics Data Analytics

The Institute of Applied Data Analytics at Universiti Brunei Darussalam is seeking a talented and ambitious academic specializing in data analytics in genomic research to lead and impact state-of-the-art research in this field.  The institute is looking to develop novel genomic analytics in medicines, by conducting research using large-scale human health databases, cutting-edge informatics platforms, breakthrough understanding of biological pathways, functional genomics capabilities built upon rapid progress in gene editing, and leading industry-academia partnerships.

The applicant must have a solid working knowledge in computational biology and genetics, with strong programming and computational background. Demonstrated experience in genomics data analytics and managing large volumes of genetic and genomic data and results in a distributed database and analytical environment is highly desired. He/she should hold a PhD in Bioinformatics, Computational Biology, Statistics, Mathematics, Computer Science or any other quantitative discipline and have a good publication track record. Preference will be given to those with experience with big data applications and cloud computing for genomics data analytics. 

 Successful candidates for this position will generate research ideas, develop solutions to complex genomic analytics problems, execute research projects in close collaboration with others, publish their research advances in top tier conferences and journals, and demonstrate leadership in the greater professional community. 

Prior teaching experience of advanced-level undergraduate courses related to bioinformatics and data analytics will be an advantage. The successful applicant will be expected to teach undergraduate and/or graduate level courses in the data analytics or computer science programmes. He or she will supervise or co-supervised final year and postgraduate students from the institute as well as from different faculties in projects related to genomics data analytics. The successful applicant will be expected to develop new module(s) in data analytics and big data. In addition, successful applicants are expected to provide administrative support to the institute.

Professor | Associate Professor | Senior Assistant Professor| Assistant Professor |  Lecturer

 IADA07 High Performance Computing

The Institute of Applied Data Analytics at Universiti Brunei Darussalam is seeking a talented and ambitious academic to develop, lead and impact state-of-the-art research in high performance and cluster computing.

The applicant should hold a PhD in Computer Engineering, Computer Science or a related discipline; and have a strong publication track record.   Demonstrated experience with Redhat/CentOS Linux administration, batch HPC cluster environment, high-speed local area networking system, databases, parallel file systems and storage and archival storage and tape libraries is most desired. Other desired qualifications include knowledge in deployment of new technologies such as GPU’s, Hadoop and cloud computing, in deployment and optimisation of resource management and scheduling software and policies.

The successful candidate for this position will generate research ideas, develop solutions to complex HPC problems, execute research projects in close collaboration with others, publish their research advances in top tier conferences and journals, and demonstrate leadership in the greater professional community.

Prior teaching experience of advanced-level undergraduate courses in HPC, computer networks, cloud, distributed and/or parallel computing, will be an advantage.  The successful applicant will be expected to teach undergraduate and/or graduate level modules in the Data Analytics or Computer Science programmes. He or she will supervise or co-supervised final year and postgraduate students from the institute as well as from different faculties in projects related to HPC and Computer Science.  The successful applicant will be expected to develop new module(s) in HPC-related areas.  In addition, successful applicants are expected to provide administrative support to the institute.

Professor | Associate Professor | Senior Assistant Professor| Assistant Professor |  Lecturer

IADA08  Natural Language Processing

The Institute of Applied Data Analytics at Universiti Brunei Darussalam seeks a Computer Scientist who is talented and ambitious to grow and impact state-of-the-art natural language processing (NLP) research. 

Demonstrated research experience in NLP programming; linguistics, text mining/ data mining with experience with ontologies, taxonomies, and semantic relation frameworks as well as using MapReduce, Pig, and/or Hive, Python and/or R are most desired. Preference will be given to those with proficiency in scripting, querying and analytics tools: Python, SQL, or similar tools, experience working with speech and/or language date. Other preferred qualifications include knowledge with deep learning techniques such as CNN and RNN.

The applicant should hold a PhD degree in Computer Science, AI, Machine Learning, or related technical field. The applicant must have a proven research record of high quality at international level in the area of big data architecture and analytics with experience of research collaborations at both national and international level. Prior teaching experience of advanced-level undergraduate courses in big data systems and technologies will be an advantage. 

The successful candidate for this position will generate research ideas, develop solutions to complex NLP problems, execute research projects in close collaboration with others, publish their research advances in top tier conferences and journals, and demonstrate leadership in the greater professional community. He/she will be expected to teach undergraduate and/or graduate level courses in the Data Analytics or Computer Science programmes. He/she will supervise or co-supervised final year and postgraduate students from the institute as well as from different faculties in projects related to big data and NLP. He/she will be expected to develop new module(s) in NLP and/or Big Data or other related areas. The successful applicant will also be expected to provide administrative support to the institute.

Professor | Associate Professor | Senior Assistant Professor| Assistant Professor |  Lecturer

IADA09 Big Data Analytics for Agriculture

The Institute of Applied Data Analytics at Universiti Brunei Darussalam seeks an academic who is talented and ambitious to lead and impact state-of-the-art research in data analytics in the agriculture domain.

The applicant must have a proven research record of high quality at international level, solving issues such as determining the suitability (now and in the future given impacts of climate change) of growing different types of crops across different geographies, using local agronomic data and satellite imagery to optimize farm operations and forecast yield, with experience of research collaborations at both national and international level. 

The applicant must have a good working knowledge in agriculture or smart farming, with strong programming and computational background. Demonstrated experience in data analytics of agriculture-related data and managing with large volumes of varying agriculture data and results in a distributed database and analytical environment is highly desired. He/she should hold a PhD in Statistics, Mathematics, Computer Science or any other quantitative discipline and have a good publication track record. Preference will be given to those with experience with big data applications and cloud computing for data analytics in the agriculture domain.

The successful candidate for this position will generate research ideas, develop solutions to complex agriculture analytics problems, execute research projects in close collaboration with others, publish their research advances in top tier conferences and journals, and demonstrate leadership in the greater professional community.

Prior teaching experience of advanced-level undergraduate courses in related areas such as big data, agriculture analytics, and/or weather/climate analytics will be an advantage.  The successful applicant will be expected to teach undergraduate and/or graduate level courses in the Data Analytics or Computer Science programme. He or she will supervise or co-supervised final year and postgraduate students from the institute as well as from different faculties in projects related to big data and agriculture analytics.  The successful applicant will be expected to develop new module(s) relating to IOT and/or Big Data.  The successful applicant will be expected to continue active research in the field of expertise and collaborate with existing members of relevant groups in UBD as well as external collaborators and to provide administrative support to the institute.

APPLICATION SUBMISSION

Completed online application form together with copies of academic certificates and comprehensive curriculum vitae with the names and addresses of three referees should be uploaded to this application form.

Online application form and information: https://ubd.qualtrics.com/jfe/form/SV_43kPE2tqgOmgAEl.

Completed applications must reach us by 25 SEPTEMBER 2020.

Only shortlisted candidates will be contacted and called for interview.

For any inquiries, please contact Dr Daphne Teck Ching Lai at office.iada@ubd.edu.bn

For more details on the benefits, visit http://www.ubd.edu.bn/about/career-opportunities/academic-positions/