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Xavier University

51吃瓜

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Xavier University (US)

Partnership for the Goals

World University Impact Rankings - Clean Energy 2024

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Hong Kong

Ref.:?531968
Work type:?Full-time
Department:?Department of Social Work and Social Administration (30300)
Categories:?Senior Research Staff & Post-doctoral Fellow, Research Staff

Post-doctoral Fellow/Senior Research Assistant in the Department of Social Work and Social Administration?(Ref.:531968) (to commence as soon as possible for one year, with the possibility of renewal subject to satisfactory performance and funding availability).

Applicants for Post-doctoral Fellow should possess a PhD degree in Social Sciences, Social Work, Psychology, Statistics. Applicants for Senior Research Assistant should possess a Master’s degree or above in Social Sciences, Social Work, Psychology, Statistics, or a related field, and have a minimum of 1 year of research experience. They should be proficient in quantitative analysis and skilled in the use of statistical software(s). Additionally, candidates should have excellent proficiency in both written and spoken English and Chinese (preferably Cantonese), demonstrate a strong sense of responsibility, possess good organizational and interpersonal skills, and be capable of working both independently and collaboratively with external parties.

The successful candidate will support the Principal Investigator in executing research projects focused on adolescent and elderly mental health. Responsibilities will include data analysis, preparing presentations, drafting proposals and reports, and undertaking other assigned tasks.

Preference will be given to applicants who have expertise in advanced statistical modeling, a track record of publications, and experience in drafting grant proposals. Candidates with less experience may be considered for the position of?Research Assistant I.?Shortlisted candidates will be invited to an interview and a written test.

A highly competitive salary commensurate with qualifications and experience will be offered, in addition to annual leave and medical benefits.?

The University only accepts online application for the above post.? Applicants should apply online and upload an up-to-date CV.? Review of applications will commence immediately and continue until?30 June 2025, or until the post is filled, whichever is earlier.


The University of Hong Kong

Singapore

At Professional Officers Division (POD), we bring our rich industry experience and technical skills into our work, creating a better physical environment where learning and innovation take place. We work with teaching programmes and innovation projects to improve the skills of our students and strengthen our industry and the wider community. The Technical Officer supports laboratory operation and laboratory maintenance; ensuring laboratories are safe and in conducive condition for laboratory research and education activities.

Key Responsibilities:

1.??? Laboratory Operations:

1.1.? Laboratory Space Allocation:

a.??? Evaluate the physical layout and infrastructure of the laboratory to determine the space suitability for the intended projects.

b.??? Optimise space usage by enhancing layout, including equipment arrangement within the laboratory and assess the potential technical requirements for the space and equipment.

c.???? Work with ARO and Faculty Lab-in-Charge on space allocation recommendations to Vice President (Applied Research) based on the assessments conducted in points a and b.

d.??? Support the review of space-related change requests including space usage extension and additional space needs.

e.??? Assist Project Investigators (PI) and project team in setting up and configuring equipment or instrumentation, and in vacating the space upon project completion.

f.????? Maintain accurate records of space assignments, utilization, and changes and ensuring timely updates to the research space inventory database.

g.??? Liaise with Estates to grant lab users access to laboratories upon approval.

2.??? Laboratory Maintenance:

2.1.? Establish, maintain, and update a repository of standard operating procedures (SOPs), including risk assessments (RAs), and other essential documentation for the laboratory.

2.2.? Assist and support PIs and other lab users in setting up, maintaining, and executing proper maintenance protocols for laboratory equipment.

2.3.? Oversee the daily operations and upkeep of the laboratory, which include maintaining inventory lists of chemicals, licenses and permits, and waste management.

3.??? Laboratory Safety:

3.1.? Ensure lab users adhere to safety protocols, regulations, and standards within the laboratory environment by collaborating with the POD Safety Team, PIs, and their respective project teams.

3.2.? Implement the requirements of the Lab Safety Management system, which include:

a.??? conducting regular safety inspections;

b.??? confirming user lab safety training;

c.???? implementing safety procedures; and

d.??? identifying opportunities for improvement.

3.3.? Mitigate potential risks by assessing User risk assessments and supporting PIs in implementing risk controls.

Job Requirements:


	Have a minimum Undergraduate Degree in Electronics Engineering, Mechanical Engineering, Material Science or equivalent qualification.
	With at least 5 years of work experience in Engineering related labs.
	Experience in managing safety as well as inventories.
	Experience with procurement and document management.
	Familiar with engineering and materials processes.
	Have practical knowledge of safety and license requirements for the operation of the laboratory.
	Having experience in managing engineering research laboratory will be an advantage.



Singapore Institute of Technology (SIT)

Austria, Vienna Danubepier Hov

39 Faculty of Computer Science
Startdate:?16.06.2025?|?Working hours:?30?|?Collective bargaining agreement:?§48 VwGr. B1 Grundstufe (praedoc)
Limited until:?15.06.2029
Reference no.:?3904

More than 7,500 academics at the University of Vienna thrive on continuous exploration and curiosity and help us better understand our world. Does this sound like you? Then join our accomplished team!

Your personal sphere of influence:

The University of Vienna (20 faculties and centres, 184 fields of study, approx. 10.400 members of staff, about 90.000 students) seeks to fill the position of a University assistant (prae doc) as soon as possible, limited to 4 years at the Research Group?Data Mining and Machine Learning at the Faculty of Computer Science under the supervision of Univ.-Prof. Dipl.-Inform.Univ. Dr. Claudia Plant

The Faculty of Computer Science at the University of Vienna has world-leading researchers in computer science who conduct both basic and applied research. We offer an excellent working environment in a young, creative and international team. As a member of the Data Mining team, you will work on exciting data mining projects and have the opportunity to take on responsibility at an early stage, publish the results at leading international conferences and exchange ideas with international and interdisciplinary cooperation partners.

Your future tasks:

Participation in research, teaching and administration:


	Participation in research projects / research studies
	Participation in publications / academic articles / presentations
	We expect the successful candidate to sign a doctoral thesis agreement within 12-18 months.
	Participation in teaching and independent teaching of courses as defined by the collective agreement
	Supervision of students
	Involvement in the organisation of meetings, conferences, symposiums
	Involvement in the department administration as well as in teaching and research administration


The research should focus on clustering methods, especially deep clustering and representation learning for complex and high-dimensional data.

This is part of your personality:


	Master in Computer Science or equivalent qualification with a strong focus on Computer Science with excellent marks.
	Very good German and English language skills.
	Very good mathematical understanding
	Very good programming skills, mastery of at least two of the following programming languages: Java, C++, C#, Python
	Strong ability to work in teams
	Perseverance and ability to make things done
	High motivation to publish at the top-level conferences


Desirable qualifications are


	Experience with clustering, representation learning, deep learning.
	Experience with applications of data mining methods to real data from different domains, especially in historical or social sciences


What we offer:

Work-life balance:?Our employees enjoy flexible working hours and can partially work remotely.?
Inspiring working atmosphere:?You are a part of an international academic team in a healthy and fair working environment.
Good public transport connections:?Your workplace is easily accessible by public transport.
Internal further training & Coaching:?Opportunity to deepen your skills on an ongoing basis. There are over 600 courses to choose from – free of charge.
Fair salary:?The basic salary of EUR 3714,80 (on a full-time basis) increases if we can credit professional experience.
Equal opportunities for everyone:?We look forward to diverse personalities in the team!
Duration of contract:

The employment duration is 4 years. Initially limited to 1.5 years, the employment relationship is automatically extended to?4 years?if the employer does not terminate it within the first 12 months by submitting a non-extension declaration.

It is that easy to apply:


	Curriculum vitae
	Degree certificates and credentials? including grades of Bachelor and Master studies
	List of publications, evidence of teaching experience (if available)


The candidate who is selected for this position joins the DoCS as a doctoral student member.

If you have any questions, please contact:

Univ.-Prof. Dipl.-Inform.Univ. Dr. Claudia Plant

claudia.plant@univie.ac.at

We look forward to new personalities in our team!
The University of Vienna has an anti-discriminatory employment policy and attaches great importance to equal opportunities, the?advancement of women?and?diversity. We lay special emphasis on increasing the number of women in senior and in academic positions among the academic and general university staff and therefore expressly encourage qualified women to apply. Given equal qualifications, preference will be given to female candidates.

University of Vienna. Space for personalities. Since 1365.

Data protection
?Application deadline:?05/08/2025?

Prae Doc


University of Vienna

?64,139 - ?67,728 per annum, including London Weighting Allowance

United Kingdom, London

About us:

The Precision Health Informatics Data Lab, led by Professor Richard Dobson, is motivated towards enabling a “panoramic” view of patients that is precise, predictive, preventative and participatory, through the integration of traditional ‘omics data with data derived from mHealth, electronic patient records, knowledge graphs. The group works closely alongside the National Institute for Health Research Maudsley Biomedical Research Centre (NIHR Maudsley BRC) supporting their translational research into novel tests, treatments and technologies to understand and treat mental disorders.

About the role:

Our RADAR-Base platform is pioneering the future for mHealth technology in remote monitoring and management of health data. The RADAR-base platform is used in numerous research fields, spanning over 20 disorder areas in 54 studies. We are looking for an energetic, experienced Product Manager with a considerable background in product design and management. This role will significantly impact our strategy for developing the RADAR-Base mHealth remote monitoring software platform. The ideal candidate will have a robust background in product management and deep knowledge of mHealth technologies, besides a passion for using technology to drive meaningful change in healthcare.

This is a full time post, and you will be offered a fixed term contract until 31/07/2027.

About you:

To be successful in this role, we are looking for candidates to have the following skills and experience:

Essential criteria


	Bachelor's Degree in Computer Science, Engineering, or related discipline
	Ideally 3+ years of work experience as a Product Manager or other similar capacities in the digital health, healthcare or technology industry
	Familiarity with a digital health platform or similar technologies
	Exceptional problem-solving skills with creative thinking and a proactive drive
	Excellent written and verbal communication
	Can work in a fast-paced, dynamic, and startup-like research environment


Desirable criteria


	Advanced Management degree, MBA or related qualification


Downloading a copy of our Job Description

Full details of the role and the skills, knowledge and experience required can be found in the Job Description document, provided at the bottom of the next page after you click “Apply Now”. This document will provide information of what criteria will be assessed at each stage of the recruitment process.

Further information:

We ask all candidates to submit a copy of their CV, and a supporting statement, detailing how they meet the essential criteria listed in the advert. If we receive a strong field of candidates, we may use the desirable criteria to choose our final shortlist, so please include your evidence against these where possible.

To find out how our managers will review your application, please take a look at our ‘How we Recruit’ pages.

Grade and Salary:??64,139 - ?67,728 per annum, including London Weighting Allowance
Job ID:?114026
Close Date:?27-May-2025
Contact Person:?Dr Amos Folarin
Contact Details:?Amos.folarin@kcl.ac.uk


King's College London

FACULTY OPENINGS AT THE SINGAPORE INSTITUTE OF TECHNOLOGY?

Singapore Institute of Technology (SIT) aspires to be a leader in innovative learning by integrating learning, industry and community. Its mission is to nurture and develop individuals who build on their interests and talents to impact society in meaningful ways.

Our engineering degree programmes have been developed through extensive consultation with industry, thus creating a curriculum that supports the industry’s needs in manpower development and innovation. We look forward hire faculty with industrial experience to foster applied learning in the course being delivered.

SIT focuses on working with the industry on translational research and innovation, spanning technology readiness levels (TRLs) 3-7. Unlike traditional research which is discovery-oriented, applied research projects have higher TRLs which bridge the gap between theoretical research and industry applications. SIT Engineering Cluster focusses on the five key pillars of Applied Research (i) Infrastructure (Maintenance) (ii) Sustainability (Built Environment) (iii) Energy Resilience (iv) Maritime Engineering and (v) Advanced Manufacturing, working with various industry sectors in Singapore as well as in the region.

For this faculty position in area of?aquaculture technologies, we are looking for candidates with the following essential and desirable skillset and competencies.

Essential


	Academic and/or industrial experience in engineering solutions for the aquaculture industry
	Expertise in some or any of the areas of systems engineering, robotics, automation, IOT, and data analytics
	Experience and knowledgeable in the field of aquaculture, with basic knowledge of the related sciences
	Motivated to develop and to teach aquaculture technologies curriculum
	Strong demonstration of interest to develop solutions through applied research projects


Desirable


	Good knowledge in aquaculture system design, including RAS, monitoring system, and energy management
	Experience in emerging applications of automation, artificial intelligence and data analytics solutions for aquaculture
	Hands on experience in commercial aquaculture farm operation is a plus?
	Preferred to having a PhD in a related technical area
	Led or involved in strong industry - academia partnership projects


Applications will be accepted until the positions are filled. All applications must be submitted electronically via?SIT Career Website.


51吃瓜

Xavier University

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