Friday, April 30, 2021

Post doctor in corrosion mechanism modelling

 

We have a vacancy for a postdoc at NTNU’s Department of Materials Science and Engineering.


The postdoc should work on modelling the electrochemical processes during underpaint corrosion, in particular during filiform corrosion on coated aluminium alloys. In a collaborative project with the aluminium industry, the candidate should look into localised corrosion mechanisms specifically on coated recycled aluminium alloys. As an outcome, the candidate’s mechanistic studies shall contribute to the development of a robust surface treatment method suitable for recycled aluminium surfaces with typically a wide compositional diversity.


The successful candidate will work in close collaboration with Professor Andreas Erbe.


 


 


Job description

On a day to day basis, the successful candidate will conduct, in close collaboration with a team of industrial and academic researchers,


development of a continuum-based numerical model, e.g. based on the Nernst-Planck or Laplace equation, of the effect of different scenarios on the progress of the corrosion process, as well as the conditions (such as local electrode potential and pH) on the microscopic level,

interpretation of experimental data based on a model, and

assistance in designing laboratory-based experiments to validate numerical model.

Depending on experience and interest of the successful candidate, atomistic modelling and data-based modelling may also be included.

The candidate shall also contribute to advising junior team members.


Qualification requirements

A postdoctoral research fellowships is a qualification position in which the main objective is qualification for work in academic positions. Completion of a Norwegian doctoral degree in Materials Science and Engineering, Physics, Chemistry, Chemical Engineering, or a corresponding foreign doctoral degree recognized as equivalent to a Norwegian doctoral degree is required.


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The appointment is to be made in accordance with the regulations in force concerning State Employees and Civil Servants and national guidelines for appointment as PhD, post doctor and research assistant.


Required selection criteria

Other qualifications:


Good knowledge of fundamental electrochemistry and physical chemistry and experience with creating physically based models

Experience in numerical modelling, e.g., solving differential equations or atomistic modelling

Programming experience in a language typically used in scientific computing

Writing scientific documents in English

Good communication skills

Good written and oral English language skills; Norwegian language skills are seen as an additional advantage

Personal characteristics:


Strong collaborative skills

Independence

Creativity

Interest in the physical-chemical basis of corrosion mechanisms

In the evaluation of which candidate is best qualified, emphasis will be placed on education, experience and personal suitability, in terms of the qualification requirements specified in the advertisement


We offer

exciting and stimulating tasks in a strong international academic environment

an open and inclusive work environment with dedicated colleagues

favourable terms in the Norwegian Public Service Pension Fund

employee benefits

Salary and conditions

The employment period is 2 years.


Postdoctoral candidates are placed in code 1352, and are normally remunerated at gross from NOK 545 300 per annum before tax, depending on qualifications and seniority. From the salary, 2 % is deducted as a contribution to the Norwegian Public Service Pension Fund.

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The engagement is to be made in accordance with the regulations in force concerning State Employees and Civil Servants, and the acts relating to Control of the Export of Strategic Goods, Services and Technology. Candidates who by assessment of the application and attachment are seen to conflict with the criteria in the latter law will be prohibited from recruitment to NTNU. After the appointment you must assume that there may be changes in the area of work.


The position is subject to external funding.


It is a prerequisite you can be present at and accessible to the institution daily.


About the application

The application and supporting documentation to be used as the basis for the assessment must be in English.


Publications and other scientific work must follow the application. Please note that applications are only evaluated based on the information available on the application deadline. You should ensure that your application shows clearly how your skills and experience meet the criteria which are set out above. 


The application must include:


CV, certificates and diplomas

Academic works - published or unpublished - that you would like to be considered in the assessment (up to thre works)

Name and address of three referees


Joint works will be considered. If it is difficult to identify your contribution to joint works, you must attach a brief description of your participation.


In the evaluation of which candidate is best qualified, emphasis will be placed on education, experience and personal suitability.


NTNU is committed to following evaluation criteria for research quality according to The San Francisco Declaration on Research Assessment - DORA.


General information

Working at NTNU


A good work environment is characterized by diversity. We encourage qualified candidates to apply, regardless of their gender, functional capacity or cultural background. 


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The city of Trondheim is a modern European city with a rich cultural scene. Trondheim is the innovation capital of Norway with a population of 200,000. The Norwegian welfare state, including healthcare, schools, kindergartens and overall equality, is probably the best of its kind in the world. Professional subsidized day-care for children is easily available. Furthermore, Trondheim offers great opportunities for education (including international schools) and possibilities to enjoy nature, culture and family life and has low crime rates and clean air quality.


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As an employee at NTNU, you must at all times adhere to the changes that the development in the subject entails and the organizational changes that are adopted.


In accordance with The Public Information Act (Offentleglova), your name, age, position and municipality may be made public even if you have requested not to have your name entered on the list of applicants.


Questions about the position can be directed to Andreas Erbe, e-mail phd-corrosion@material.ntnu.no.


Please submit your application electronically via jobbnorge.no with your CV, diplomas and certificates. Applications submitted elsewhere will not be considered. Diploma Supplement is required to attach for European Master Diplomas outside Norway. Chinese applicants are required to provide confirmation of Master Diploma from China Credentials Verification (CHSI).


If you are invited for interview you must include certified copies of transcripts. Please refer to the application number NV-48/21 when applying.


Application deadline: 28.05.2021

Apply


PhD Candidate in exploring structural health monitoring and predictive maintenance algorithms using measured data form a train in regular traffic

 


We have a vacancy for a PhD Candidate at the Department of Structural Engineering.


NTNU is working with the Norwegian Railway Directorate on challenging engineering projects for our future railway systems. This work also considers the continuous monitoring of railway vehicles and infrastructures. Using a state-of-the-art measuring system, data from a passenger train in regular service will be recorded and analysed for multiple purposes. This work explores the train data by creating algorithms that can provide information on the status of pantograph and boogie on the train, and the catenaries and the bridges along the railway line.


The Norwegian Railway Directorate runs a project focusing on measures taken from passenger trains in regular service. A growing trend in the railway industry is to switch from traditional corrective maintenance to so-called predictive maintenance. 


The first step is to measure quantities that can provide useful information on the status of the system. For this purpose, a passenger train in regular service on the Norwegian Railway Network will be instrumented with a new measuring system. Information about dynamics and forces linked to the train behaviour and the interaction with the infrastructure are among the data that will be retrieved. The data recorded on the train will be analysed according to the final aim of monitoring and prediction models. Appropriate algorithms need to be implemented to create one or more indicators of the system health status. These indicators will monitor the trends in the long term and detect localised defects from single runs. The position is one of two PhD positions related to this project.


Our group has a long experience studying the interaction between pantograph and catenary and monitoring bridges, using numerical models, laboratory tests, and extensive field measurements from the Norwegian Railway Network. The field experience allows us to validate the models and get an insight into the infrastructure behaviour under normal working conditions.


You will report to the supervising professors.


Duties of the position

establish relevant types of defect, both localised and distributed, to be detected thanks to appropriate analysis of the measured data

identify relevant indicators for the chosen defects, both localised and distributed

establish which type of measurable quantities are relevant for the analysis

build algorithms for the analysis in real-time and/or offline for the detection of the defects

validate the algorithms against known defects

identify relevant indicators for the long-term monitoring of the health status of the train and the railway infrastructure

participate in national and international scientific conferences and publish results in academic journals

teaching duty at the department, a total of one year (equivalent)

Required selection criteria

The PhD-position's main objective is to qualify for work in research positions. The qualification requirement is that you have completed a master’s degree or second degree (equivalent to 120 credits) with a strong academic background in Structural Engineering, Mechanical Engineering, Computer Science, Mathematical Sciences, Electrical Engineering or equivalent education with a grade of B or better in terms of NTNU’s grading scale. If you do not have letter grades from previous studies, you must have an equally good academic foundation. If you are unable to meet these criteria you may be considered only if you can document that you are particularly suitable for education leading to a PhD degree.


The appointment is to be made in accordance with the regulations in force concerning State Employees and Civil Servants and national guidelines for appointment as PhD, post doctor and research assistant.


good written and oral English language skills

Preferred selection criteria


experience in experimental research (monitoring)

experience in signal processing/data analysis

experience from programming using such as Matlab and Python

Norwegian language skills are appreciated

Personal characteristics

motivated and ambitious 

proficiency to carry out goal-oriented work

good cooperation abilities

excellent communication skills both written and oral

We offer

exciting and stimulating tasks in a strong international academic environment

an open and inclusive work environment with dedicated colleagues

favourable terms in the Norwegian Public Service Pension Fund

employee benefits

Salary and conditions

PhD candidates are remunerated in code 1017, and are normally remunerated at gross from NOK 482 200 per annum before tax, depending on qualifications and seniority. From the salary, 2% is deducted as a contribution to the Norwegian Public Service Pension Fund.



The period of employment is 4 years. This includes teaching duty of in total 1 year (equivalent).


Appointment to a PhD position requires that you are admitted to the PhD programme in Engineering within three months of employment, and that you participate in an organized PhD programme during the employment period.


The engagement is to be made in accordance with the regulations in force concerning State Employees and Civil Servants, and the acts relating to Control of the Export of Strategic Goods, Services and Technology. Candidates who by assessment of the application and attachment are seen to conflict with the criteria in the latter law will be prohibited from recruitment to NTNU. After the appointment you must assume that there may be changes in the area of work.


The position is subject to external funding.


It is a prerequisite you can be present at and accessible to the institution daily.


About the application

The application and supporting documentation to be used as the basis for the assessment must be in English or Norwegian.


Publications and other scientific work must follow the application. Please note that applications are only evaluated based on the information available on the application deadline. You should ensure that your application shows clearly how your skills and experience meet the criteria which are set out above. 


The application must include:


CV, certificates and diplomas

Academic works - published or unpublished - that you would like to be considered in the assessment

Name and address of three referees


Joint works will be considered. If it is difficult to identify your contribution to joint works, you must attach a brief description of your participation.


In the evaluation of which candidate is best qualified, emphasis will be placed on education, experience and personal suitability.


NTNU is committed to following evaluation criteria for research quality according to The San Francisco Declaration on Research Assessment - DORA.


General information

The city of Trondheim is a modern European city with a rich cultural scene. Trondheim is the innovation capital of Norway with a population of 200,000. The Norwegian welfare state, including healthcare, schools, kindergartens and overall equality, is probably the best of its kind in the world. Professional subsidized day-care for children is easily available. Furthermore, Trondheim offers great opportunities for education (including international schools) and possibilities to enjoy nature, culture and family life and has low crime rates and clean air quality.


As an employee at NTNU, you must at all times adhere to the changes that the development in the subject entails and the organizational changes that are adopted.


In accordance with The Public Information Act (Offentleglova), your name, age, position and municipality may be made public even if you have requested not to have your name entered on the list of applicants.


If you have any questions about the position, please contact Anders Rønnquist, telephone +47 73594663, email anders.ronnquist@ntnu.no. If you have any questions about the recruitment process, please contact Elin Pedersen Nystuen, e-mail elin.p.nystuen@ntnu.no.


Please submit your application electronically via jobbnorge.no with your CV, diplomas and certificates. Applications submitted elsewhere will not be considered. Diploma Supplement is required to attach for European Master Diplomas outside Norway. Chinese applicants are required to provide confirmation of Master Diploma from China Credentials Verification (CHSI).


If you are invited for interview you must include certified copies of transcripts and reference letters. Please refer to the application number IV-130/21 when applying.


Application deadline: 31.05.2021

Apply

Professor/Associate Professor within the area of Smart Wireless Systems

 


NTNU has a vacancy for permanent position at the Department of Electronic Systems (IES) at campus Gjøvik. Applicants at the Professor and Associate Professor levels are invited to apply.


He/she is expected to conduct research in cooperation with academic institutions, research centers and companies.


It is desirable that the candidate connects his / her activities to strategic research areas at NTNU and IE.


See for example:


 https://www.ntnu.edu/research/strategicareas


The position reports to the Head of Department


Duties of the position

The professor/associate professor is expected to play a leading role in research and research-based education in cooperation with existing staff at IES.

The successful candidate is expected to initialize and lead research within the field of Smart Wireless Systems (SWS), focusing on applied wireless system and their components.

From the perspective of this position, this concerns the methods, analysis and models that form the basis for the implementation of SWS.

The candidate is expected to take a leading role in research-based education, including supervision, teaching (both digitally and physically at campus), and course development for primarily Bachelor and Ph.D. students, and in addition to contribute establishing a future MSc program.

Participate in administrative activities, such as hiring committees, educational and research boards, that are conducted at IES

Required selection criteria

Professor:


The position of Professor within SWS or similar, requires that you meet the criteria in the Regulations concerning appointment and promotion to teaching and research posts section 1-2. 


The applicant’s research must be documented and of high international quality, showing both breadth and depth. Research activity and output must demonstrate an independent research profile and the ability to take up new research issues. Continuous research activity is a prerequisite for professorial positions.


The main emphasis of the overall assessment of your application is on your submitted scientific works, including ability and experience in initiating and leading research and development in the field of SWS, and in obtaining external funding for research.


your academic work must be essentially within related topics in SWS or similar  

In addition to formal qualifications in teaching at university level, you must document


development in teaching and counselling of students over time

extensive experience with supervision preferably at the master / PhD level

participation in the development of educational quality in a work environment

 


Associate Professor:


The position of Associate Professor requires university education at doctoral level within related topics in SWS or similar and that you meet the criteria in the Regulations concerning appointment and promotion to teaching and research posts section 1-4. 


Your PhD, or academic work of the same scope and quality, must be within related topics in SWS or similar    


The main emphasis of the overall assessment of your application is on your submitted scientific works, as well as ability and experience in initiating and leading research and development relevant to the requirements of this position.

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You must document relevant basic competence for teaching and supervision at university/higher education-level, ref. Regulations. If this cannot be documented, you are required to complete an approved course in university teaching within two years of commencement. NTNU offers qualifying courses. 


It is a prerequisite that within three years of appointment, new employees who do not speak a Scandinavian language can demonstrate skills in Norwegian or another Scandinavian language equivalent to level three in the course for Norwegian for speakers of other languages at the Department of Language and Literature at NTNU.


Please see the Regulations concerning appointment and promotion to teaching and research posts for general criteria for the position.


In addition to formal qualifications in teaching at university level, you should document:


development in teaching and counselling of students over time

extensive experience with supervision preferably at the master / PhD level

participation in the development of educational quality in a work environment

 

Preferred selection criteria 


The candidate can if possible document extensive scientific and technical qualifications in one or several of the topics:

Telecommunications (wireless sensor networks, radio propagation, RF engineering),

Data acquisition and processing (computer vision, image analysis, signal processing),

Demonstrate professional qualifications and expertise, in both academia and industry, in essential areas of wireless sensor networks and IoT, including application experience in smart cities and environmental monitoring.

Capability to attract and record external research funding.

Extensive and solid experience in EU project development and management, as well as previous engagement in international R&I platforms or international professional communities.

Industrial experience and relevant collaboration with industry will be considered beneficial

Background in system engineering

Fluency in norwegian or other scandinavian language

Personal characteristics

Communication: The successful candidate will be able to relay information with clarity and ease, both orally and written.

Taking initiative: The successful candidate will seek out new opportunities at work, initiate activities and projects by working independently.

Team player: Will work excellent together with colleagues, students and external stakeholders.

Enthusiastic: Has the urge to take the extra step to include all students and maintain a good dialogue with them.

Willing to learn: Will learn from experience and competence over the duration of employment and from experience and feedback from others.

We offer 

exciting and stimulating tasks in a strong international academic environment 

an open and inclusive work environment with dedicated colleagues 

favourable terms in the Norwegian Public Service Pension Fund 

employee benefits 

Salary and conditions

In a position as Associate Professor (code 1011) you will normally be remunerated from gross NOK 560 000,- per year, depending on qualifications and seniority. In a position as Professor (code 1013) you will normally be remunerated from gross NOK 630 000,-  per year, depending on qualifications and seniority. From the salary, 2% is deducted as a contribution to the Norwegian Public Service Pension Fund.


The engagement is to be made in accordance with the regulations in force concerning State Employees and Civil Servants, and the acts relating to Control of the Export of Strategic Goods, Services and Technology. Candidates who by assessment of the application and attachment are seen to conflict with the criteria in the latter law will be prohibited from recruitment to NTNU. After the appointment, you must assume that there may be changes in the area of work.


It is a prerequisite that you can be present at and accessible to the institution daily.


Application Process

You can find more information about working at NTNU and the application process here.


About the application

The application and supporting documentation must be in English.


Please note that applications are only evaluated based on the information available on the application deadline.  You should ensure that your application shows clearly how your skills and experience meet the criteria which are set out above.


If, for any reason, you have taken a career break or have had an atypical career and wish to disclose this in your application, the selection committee will take this into account, recognizing that the quantity of your research may be reduced as a result.



The application must include :


CV, certificates and diplomas including a complete list of publications with bibliographical references

Academic works - published or unpublished - that you would like to be considered in the assessment (up to 10 works)

A description of the academic/artistic works that you regard as most relevant and that you particularly want to be considered in the assessment

Name and address of three referees

Research plan proposal for the first 5 years of employment (maximum 10 pages)

Details of teaching qualifications based on "Documentation of applicant’s teaching qualifications in connection with appointment to an academic position at NTNU”

Details of the projects you have managed, with information about funding, duration and size

Joint works will be considered. If it is difficult to identify your contribution to joint works, you must attach a brief description of your participation.


In the assessment of the best-qualified applicant, we will emphasize education, experience and personal suitability as well as your motivation for the position. You will be expected to deliver high-quality teaching at undergraduate and postgraduate levels, and undertake supervision of Masters and Doctoral candidates. Evaluation of these skills will be based on documented experience and relevant teaching qualifications. Applicants with teaching experience at university level are preferred. Quality and breadth of the teaching qualifications will be evaluated.


NTNU is committed to following evaluation criteria for research quality according to The San Francisco Declaration on Research Assessment - DORA. This means that we pay special attention to the quality and professional breadth of these works. We also consider experience from research management and participation in research projects. We place great emphasis on your scientific work from the last five years.


Your application will be considered by an expert committee and the most suitable applicants will be invited to interview and to deliver a lecture.


General information

A good working environment is characterized by diversity. We encourage qualified candidates to apply, regardless of their gender, functional capacity or cultural background. NTNU wishes to increase the proportion of women in its academic positions, and women are therefore encouraged to apply.


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The city of Gjøvik has a population of 30 000 and is a town known for its rich music and cultural life. The beautiful nature surrounding the city is ideal for an active outdoor life! The Norwegian welfare state, including healthcare, schools, kindergartens and overall equality, is probably the best of its kind in the world.



As an employee at NTNU, you must at all times adhere to the changes that the development in the subject entails and the organizational changes that are adopted.


Under the Freedom of Information Act (offentleglova), your name, age, position and municipality may be made public even if you have requested not to have your name entered on the list of applicants. 


If you have any questions about the position, please contact Professor Halgeir Leiknes, e-mail: halgeir.leiknes@ntnu.no.


If you have any questions about the recruitment process, please contact our recruitment team at the faculty: rekrutteringsteam@ie.ntnu.no


Please submit your application and supporting documentation via jobbnorge.no. If you are invited for interview, you must bring certified copies of certificates and diplomas. Mark the application with reference number: 2021/17994


Application deadline: 07.06.2021

ِApply

PhD scholarship: MRI sequence programming and deep learning reconstruction

 


UQ ranks in the top 50 as measured by the Performance Ranking of Scientific Papers for World Universities. The University also ranks 46 in the QS World University Rankings, 42 in the US News Best Global Universities Rankings, 66 in the Times Higher Education World University Rankings and 54 in the Academic Ranking of World Universities.

UQ has significant research strength in imaging science and technology, with MRI being at the forefront. Research performed by the biomedical engineering group at UQ plays an essential role in global MRI research, as evidenced by extensive high-quality academic publications and commercial outcomes.

This DECRA project will be hosted at the UQ School of Information Technology and Electrical Engineering (ITEE). The project aligns well with UQ and ITEE research strengths. Research advances and breakthroughs in fundamental scientific studies and imaging technologies, discovered in this project, have the potential to contribute significant economic benefits, and reveal new knowledge in biomedical engineering and technology. The success of the project will add considerable value to a range of related fields within the School of ITEE. MRI, as the most versatile in vitro and in vivo imaging technique, has a wide range of applications in biomedical engineering. The successful outcome of this project will serve as a powerful tool for comprehensive tissue characterisation and will offer technological solutions that will advance future biomedical research as well as having an array of non-medical imaging applications.

The award

Supervisor – Dr Hongfu Sun

We are currently recruiting two PhD students to innovate on novel MRI methods that can be eventually applied to neuroscience and neurological diseases. Our lab is focusing on these research topics:

  1. MR image processing through advanced optimization techniques and deep learning To develop advanced image reconstruction methods for MRI post-processing techniques, such as Quantitative Susceptibility Mapping (QSM) and accelerated MRI acquisition reconstruction. Particularly through (1) image optimization/regularization, compressed sensing, and (2) deep learning.
  2. Fast, multi-parametric, and quantitative MRI acquisition methods at ultra-high field To significantly reduce the total scan time for each subject, by (1) accelerating individual scans with parallel imaging techniques at ultra-high field, and (2) designing novel MRI sequences that produce multi-contrast weighted images and multi-parametric quantitative maps from a single MR acquisition.
  3. Brain imaging applications in neuroscience and neurological diseases to apply comprehensive image analysis on different MRI methods to better understand neuroscience, such as brain development in children and structural and functional connectivity of the brain, as well as some of the neurological diseases such as Alzheimer’s disease/Dementia, Parkinson’s disease, Multiple Sclerosis, Schizophrenia, and Stroke.

A working knowledge of MATLAB, python, C++ programming and Pytorch/Tensorflow for convolutional neural network would be of benefit to someone working on this project.

Selection criteria

To be eligible to apply, you must also meet the entry requirements for Higher Degrees by Research at UQ.

This scholarship is open to Australian citizens, permanent residents and International students who are currently in Australia at the time of application and commencement.

Applications will be judged on a competitive basis taking into account the applicant’s previous academic record, publication record, honours and awards, and employment history.

The applicant will demonstrate academic achievement in the field/s of medical imaging, biomedical engineering and computer science and the potential for scholastic success.

A background or knowledge of MRI physics and sequence programming/deep learning is highly desirable.

Scholarship

The 2021 Research Training Program (RTP) living allowance stipend rate is AUD$28,597 per annum (indexed annually), which is tax-free for three years with two possible extensions of up to 6 months each in approved circumstances (conditions apply).

Enquiries

For further information, please contact Dr Hongfu Sun at hongfu.sun@uq.edu.au +61 7 3365 4307

How to apply

To apply for admission and scholarship, follow this link. There is no separate application for scholarship because you will have the opportunity to request scholarship consideration on the application for admission.

Before submitting an application you should:

When you apply, please ensure that under the scholarships and collaborative study section you:

  1. Select ‘My higher degree is not collaborative’
  2. Select 'I am applying for, or have been awarded a scholarship or sponsorship'.
  3. Select ‘Other’, then ‘Research Project Scholarship’ and type in ‘MRI-SUN’ in the 'Name of scholarship' field.

See an example of what you have to do

Learn more about applying for a higher degree by research at UQ

Applications close: 10 May 2021 (11:00 PM) E. Australia Standard Time.

#LI-DNI

Advertised: 16 Mar 2021
Applications close: 10 May 2021 (11:00 PM) E. Australia Standard Time

 Apply now

Postdoctoral Research Fellow in the area of microbiology

 


IMB is a global leader in multidisciplinary life sciences research, bringing together 500 researchers from across the globe for disease discovery, application and sustainable futures. 

Formed in 2000 as an initiative of The University of Queensland, State and Federal Governments and private philanthropy, IMB is one of the largest life sciences institutes in the Asia-Pacific region. It has capitalised on one of the greatest periods of discovery in history – the genetic and molecular basis of life and its diversity.

About This Opportunity

A Postdoctoral Research Fellow is sought to undertake research in the area of microbiology and natural product chemistry, to find new animal health antiparasitics from Australian soil microbes, as part of an ARC Linkage Project between The University of Queensland and the industry partner Boehringer Ingelheim.

For a full list of duties and selection criteria, please see the attached Position Description.

This position is primarily located at our picturesque St Lucia campus.

Our Ideal Candidate

A PhD or significant progress towards PhD in organic/natural product chemistry with a sound knowledge of microbiology and experience in organic chemistry, in particular the technologies and methodologies of natural products chemistry is essential to the role. Our ideal candidate will possess demonstrated high-level communication, organisational, problem solving, and interpersonal skills including the ability to effectively collaborate and will demonstrate evidence of research productivity.

Experience in running antimicrobial and cytotoxicity assays as well as evidence of student supervision is highly desirable.

It is a condition of employment for this role that you will be required to provide evidence of immunisation against certain vaccine preventable diseases.

Visa sponsorship may be available for this appointment.

We value diversity and inclusion, and actively encourage applications from those who bring diversity to the University. Our Diversity and Inclusion webpage contains further information if you require additional support. Accessibility requirements and/or adjustments can be directed to recruitment@uq.edu.au.

What We Can Offer

This is a full-time, fixed term position for up to three years at Academic level A.

The full-time equivalent base salary will be in the range $70,729.74 - $94,637.91, plus super of up to 17%. The total FTE package will be in the range $90,525.59 - $121,125.16 per annum.

You will be able to take advantage of UQ Sport Facilities, recreation leave loading, salary sacrificing options, on-campus childcare, discounted private health insurance, cheap parking, development programs and many other benefits.

For further information, please review The University of Queensland's Enterprise Bargaining Agreement 2018-2021.

Position Description

Download File 513933_Postdoctoral Research Fellow_PD.pdf

Questions?

To discuss this role please contact Professor Rob Capon

For application queries, please contact recruitment@uq.edu.au stating the job number in the subject line.

Want to Apply?

To submit an application for this role, use the apply button. All applicants must supply the following documents:

  • Cover letter addressing key selection criteria
  • Resume

To satisfy pre-requisite questions and ensure your application can be considered in full, all candidates must apply via the UQCareers portal by the job closing deadline. Applications received via other channels including direct email will not be accepted.

#LI-DNI

Advertised: 14 Apr 2021
Applications close: 12 May 2021 (11:00 PM) E. Australia Standard Time

 Apply now

Postdoctoral Research Fellow at Queensland Brain Institute

 

The Queensland Brain Institute (QBI) is one of the world's leading neuroscience research institutes.  Part of the University of Queensland, the Institute is home to over 450 staff and students, which includes 38 Faculty/Group Leaders.  Research at QBI spans cellular, molecular, circuit and systems neuroscience. The success of QBI's research is demonstrated by its team of world-leading scientists who publish regularly in the most prestigious international journals.

About This Opportunity 

As the Postdoctoral Research Fellow, you will join the laboratory of Professor Bruno van Swinderen  to investigate a hypothesized sleep function centred on optimising attention, by measuring prediction error signals in the brain. You will work with Professor van Swinderen to intellectually drive this compelling hypothesis: a key function of sleep is to balance prediction and surprise. In addition, you will focus your efforts on developing your expertise and emerging research profile in your discipline. At this level the incumbent will be supported and guided by more senior academic staff with the expectation of an increasing degree of autonomy over time.

For further information on this role, please refer to the position description below.

This position is located at our picturesque St Lucia campus, renowned as one of Australia’s most attractive university campuses, and located just 7km from Brisbane’s city centre.

Our Ideal Candidate

Boasting experience with coding in Matlab, Python, or R, you will hold a PhD in neuroscience, computer science, data science or relevant related fields. A strong desire to conduct meaningful research, aimed towards making high-impact findings and publications along with expertise and a strong track record in computational science, image analysis, or mathematical modelling of complex systems is essential. Your excellent communications, interpersonal and organisational skills will help you excel in this role.

Working knowledge of Drosophila melanogaster research techniques and experience with use of High Performance Computing environments would be highly regarded.

Should you currently be based within Australia and hold a temporary visa, further visa support for this appointment may be available.

We value diversity and inclusion, and actively encourage applications from those who bring diversity to the University. Our Diversity and Inclusion webpage contains further information if you require additional support. Accessibility requirements and/or adjustments can be directed to recruitment@uq.edu.au.

What We Can Offer

This is a full-time, fixed term position for up to 12 months at Academic level A.

For Level A: The full-time equivalent base salary will be in the range $70,449.07 - $94,637.91 per annum, plus super of up to 17%. The total FTE package will be in the range $82,753.80 - $110,726.35 per annum.

You will be able to take advantage of UQ Sport Facilities, recreation leave loading (of 17.5%), salary sacrificing options, on-campus childcare, discounted private health insurance, affordable parking, development programs and many other benefits.

For further information, please review The University of Queensland's Enterprise Bargaining Agreement 2018-2021.

Position Description

Download File 513890_PostdoctoralResearchFellow_PD.pdf

Questions?

To discuss this role please contact Professor Bruno van Swinderen.

Want to Apply?

To submit an application for this role, use the APPLY NOW button below. All applicants must supply the following documents:

  • Cover letter addressing key selection criteria
  • Resume

To satisfy pre-requisite questions and ensure your application can be considered in full, all candidates must apply via the UQ Career portal by the job closing deadline. Applications received via other channels including direct email will not be accepted.

#LI-DNI

Advertised: 14 Apr 2021
Applications close: 12 May 2021 (11:00 PM) E. Australia Standard Time

 Apply now 


Senior Research Fellow/Principal Research Fellow in Epidemiology or Statistics

 


The Poche Centre for Indigenous Health at The University of Queensland (UQ) was established following a $10 million donation to UQ from Mr Greg Poche AO and Mrs Kay van Norton Poche. The Centre is part of the national Poche Indigenous Health Network, together with Poche Centres at the University of Melbourne, the University of Sydney, the University of Western Australia and Flinders University in Adelaide and Alice Springs. 

The UQ Poche Centre for Indigenous Health has an urban Indigenous health focus. It addresses two key challenges and concentrates UQ’s Indigenous and health expertise towards:

  1. Developing a skilled and available workforce, both Indigenous and non-Indigenous, to respond to the challenges in Aboriginal and Torres Strait Islander health; and 
  2. Improving urban Indigenous health outcomes across the life course.

The First Peoples Urban Health Research Alliance

The First Peoples Urban Health Research Alliance is a joint initiative between Metro North Hospital and Health Service (MNHHS), the Institute for Urban Indigenous Health (IUIH) and the UQ Poche Centre for Indigenous Health.  Under the leadership of Professor James Ward, the Alliance is the first of its kind in Australia, established to substantially accelerate Australia’s progress towards closing the gap in life expectancy and achieving health equality for urban First Peoples in greater Brisbane north by ensuring the whole of health care system is responsive to the health and wellbeing needs of First Peoples.

The Alliance will lead world class research and evaluation and knowledge translation pursuits, alongside a focus on building research capabilities and capacity within the health care system. Through these activities, the Alliance will enable a health care system to deliver high value, person-centred healthcare and quality of life for First Peoples who access health care, and who live within the region. The Alliance will operate with underlying principles of working at systems wide level with strength-based approaches, collaboration and coordination, cultural safety and self-determination.

About This Opportunity

An opportunity exists for a Senior Research Fellow/ Principal Research Fellow to lead and manage the analysis of MNHHS data and linking MNHHS and IUIH data to establish administrative data sets of demographics, social determinants of health, morbidity and mortality data - separated across the life course - and combine primary health and hospital data to facilitate a whole of system approach.

This position is also responsible for providing epidemiology/statistical advice and services to support the Alliance’s research activities, contribute to the methodological design of research activities, and collaboratively assist in producing relevant research articles, communications and reports.

Further key duties and responsibilities can be found in the position description.

This position is located at our picturesque St Lucia campus, renowned as one of Australia’s most attractive university campuses, and located just 7km from Brisbane’s city centre. Bounded by the Brisbane River on three sides, and with outstanding public transport connections, our 114-hectare site provides a perfect work environment – you can enjoy the best of both worlds: a vibrant campus with the tradition of an established university.

Our Ideal Candidate

To be successful for this opportunity, you will have completed a PhD in the relevant discipline area. You will have a demonstrated understanding of issues in Aboriginal and Torres Strait Islander peoples health care. Your established research track record will include a high level of publications in reputed refereed journals and a strong record of obtaining external research funding. You will also hold a solid record of supervising HDR students, experience in meaningful internal service roles, and contributions towards external activities is essential. 

Aboriginal and/or Torres Strait Islander candidates are strongly encouraged to apply.

You must have unrestricted work rights in Australia for the duration of this appointment to apply. Visa sponsorship is not available for this appointment.

We value diversity and inclusion, and actively encourage applications from those who bring diversity to the University. Our Diversity and Inclusion webpage contains further information if you require additional support. Accessibility requirements and/or adjustments can be directed to recruitment@uq.edu.au.

What We Can Offer

This is a fixed-term, full time or part time (a minimum of 0.5FTE with potential to increase up to 1.0 FTE subject to funding) 2 year position at either Academic Level C or D

  • At Academic Level C, base salary will be in the range $121,939 - $140,603, plus super of up to 17%. The total package will be in the range $142,668 - $164,505.
  • At Academic Level D, base salary will be in the range $146,824 - $161,756, plus super of up to 17%. The total package will be in the range $171,784 - $189,254.

You will be able to take advantage of UQ Sport Facilities, recreation leave loading, salary sacrificing options, on-campus childcare, discounted private health insurance, cheap parking, development programs and many other benefits.

For further information, please review The University of Queensland's Enterprise Bargaining Agreement 2018-2021.

Position Description

Download File PD - Level C_Level D - Epidemiologist_Statistician - Alliance - Poche (1).pdf

Questions?

To discuss this role please contact Professor James Ward

For application queries, please contact recruitment@uq.edu.au stating the job number in the subject line.

Want to Apply?

To submit an application for this role, use the apply button. All applicants must supply the following documents:

  • Cover letter
  • Resume
  • Responses to the Selection Criteria

To satisfy pre-requisite questions and ensure your application can be considered in full, all candidates must apply via the UQ Careers portal by the job closing deadline. Applications received via other channels including direct email will not be accepted.

#LI-DNI

Advertised: 15 Apr 2021
Applications close: 13 May 2021 (11:00 PM) E. Australia Standard Time

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Postdoctoral Research Fellow in Sedimentology and Geochronology

 

Queensland has a strong resource-based economy and is a hub for national and international companies exploring for and extracting coal seam gas (CSG) and other unconventional energy sources. The CSG industry in Queensland is an important and significant development in the Australian natural resources sector, with 6 LNG trains running that will export some 1500 petajoules of energy per year from the Bowen and Surat Basins.

The Centre for Natural Gas (CNG) was established in December 2011 by UQ in conjunction with major Queensland coal seam gas (CSG) companies. It conducts and supports research and education relevant to the onshore gas sector. Led by the Centre Director, the Centre is managed by a core team of professorial research chairs who oversees its research portfolio, covering the areas of geoscience, petroleum engineering, groundwater and social performance. The Centre also provides independent advice on policy or business-relevant matters, leadership on scientific and technical issues as well as strategic planning.

The Centre draws on the extensive research and educational capabilities across UQ’s schools and institutes and collaborates with industry and research organisations, nationally and internationally. The Centre provides a coordinated access point to disciplines such as economics, business, petroleum engineering, geosciences, water, ecology, sustainability and social sciences. 

The Centre recognises and values equity and diversity, and encourages applications from any individual who meets the requirements of this position irrespective of gender, sexuality, race, ethnicity, religion, disability, age or other protected attributes. The Centre strives to provide an inclusive working environment, and along with the University is committed to supporting staff with family and caring responsibilities by providing policies, programs and initiatives to help balance work and family responsibilities.

For more information about the Centre, please visit: https://natural-gas.centre.uq.edu.au/

About This Opportunity

The Centre for Natural Gas is seeking an experienced Postdoctoral Research Fellow to work within a multidisciplinary research team of geologists, engineers, geophysicists and modellers to contribute towards Centre projects related to geological characterisation and modelling, simulation of subsurface flow of water and gas associated with the gas industry in Queensland.

You will be working with senior academics, other postdoctoral fellows and post graduate students to deliver high impact science outcomes providing the key scientific skills to drive the geological characterisation and building of fit for purpose static geological models that integrate sequence stratigraphy, depositional environments, petrophysics, seismic and geostatistics.

Working in consultation with experts in the School of Earth and Environmental Sciences and School of Chemical Engineering, as well as other universities, and will be conducted in partnership with technical experts in the Coal and Gas Industry and Government.

This position is located at our picturesque St Lucia campus, renowned as one of Australia’s most attractive university campuses, and located just 7km from Brisbane’s city centre. Bounded by the Brisbane River on three sides, and with outstanding public transport connections, our 114-hectare site provides a perfect work environment – you can enjoy the best of both worlds: a vibrant campus with the tradition of an established university.

Our Ideal Candidate

To be successful in this position you should possess a PhD in sedimentary basin analysis (preferably in an East Australian onshore basin) and have a detailed understanding of the technical aspects of sedimentology and sequence stratigraphic approaches and evaluating sediment provenance.

The successful candidate will have a demonstrated application of geochronology (sampling, methods) and its uses for sedimentology and stratigraphy. Experience in integrating age dating methods into a stratigraphic framework and wireline log interpretation will also be beneficial.

While not essential experience Teaching/tutoring experience and a knowledge of the Surat Basin geology in Queensland will be highly regarded.

You must have unrestricted work rights in Australia for the duration of this appointment to apply. Visa sponsorship is not available for this appointment.

This opportunity is only available to current casual, fixed term or continuing employees at The University of Queensland as well as any Aboriginal and/or Torres Strait Islander people.

We value diversity and inclusion, and actively encourage applications from those who bring diversity to the University. Our Diversity and Inclusion webpage contains further information if you require additional support. Accessibility requirements and/or adjustments can be directed to recruitment@uq.edu.au.

What We Can Offer

This is a full-time, fixed term position until 31 December 2022 at Academic level A.

The full-time equivalent base salary will be in the range $85,300 - $94,637, plus super of up to 17%. The total FTE package will be in the range $99,801 - $110,726

You will be able to take advantage of UQ Sport Facilities, recreation leave loading, salary sacrificing options, on-campus childcare, discounted private health insurance, cheap parking, development programs and many other benefits.

For further information, please review The University of Queensland's Enterprise Bargaining Agreement 2018-2021.

Position Description

Download File 514000 Postdoc Research Fellow PD.pdf

Questions?

To discuss this role please contact Professor Andrew Garnett at a.garnett@uq.edu.au

Want to Apply?

To submit an application for this role, use the APPLY NOW button below. All applicants must supply the following documents:

  • Cover letter
  • Resume
  • Responses to the Selection Criteria

To satisfy pre-requisite questions and ensure your application can be considered in full, all candidates must apply via the UQCareers portal by the job closing deadline. Applications received via other channels including direct email will not be accepted.

#LI-DNI

Advertised: 23 Apr 2021
Applications close: 30 Apr 2021 (11:00 PM) E. Australia Standard Time

 Apply now


Lecturer/Senior Lecturer - Computer Science or Software Engineering

 


As one of the world’s top universities, The University of Queensland (UQ) has educated and worked with outstanding people to deliver knowledge leadership for a better world, for more than a century. The Faculty of Engineering, Architecture and Information Technology has inspired students and researchers to think differently, solving problems through great science, engineering and design, helping to improve communities around the world.

It is an exciting time to get involved with the School of Information Technology and Electrical Engineering, located on UQ’s St. Lucia campus.  The School is ramping up its investment in teaching, research and engagement to create an inspiring, diverse and flexible workplace. The direction is backed by a bold, new strategic vision to ensure the School is at the forefront of meaningful research outcomes and pedagogy across its core impact areas of health, data, automation and energy. Boasting strong student enrolments in professionally accredited programs, combined with world-class researchers and facilities, the School is focused on strengthening its position in the global computer science and engineering communities.  By attracting the brightest minds and fostering a truly innovative and collaborative work environment, the School will develop global solutions to contemporary issues and mentor the leaders of tomorrow. 

Our people are our greatest asset. We offer collaborative, inclusive work and study places, which are enriched by the significant diversity of our staff, students and community. We genuinely believe that creativity and innovation flourishes in an environment where people feel supported, valued and empowered. Mutual respect, inclusivity and accountability are at the cornerstone of UQ’s culture.

The School is committed to supporting the career growth of women researchers and have a number of initiatives to support women in developing and achieving a fulfilling research career at the School.

Details of the School may be accessed on its website at http://www.itee.uq.edu.au/.

About This Opportunity

We are seeking an enthusiastic and experienced academic to join the University of Queensland in the role of Lecturer/Senior Lecturer – Computer Science or Software Engineering within the School of Information Technology and Electrical Engineering.

You will engage, as a Lecturer or Senior Lecturer, in undergraduate and postgraduate teaching, student supervision, and further development of the School’s undergraduate and postgraduate programs, as well as performing scholarship, administrative and other activities associated with the School.

As a teaching-focused member of staff, the holder of the position will contribute to teaching and learning leadership in the school and will undertake work in the scholarship of teaching and learning (SoTL).

For US applicants, please note that Australian Universities use British terminology, as such a Lecturer position is equivalent to that of a non-tenured Assistant Professor position in the US.

This position is located at our picturesque St Lucia campus, renowned as one of Australia’s most attractive university campuses, and located just 7km from Brisbane’s city centre. Bounded by the Brisbane River on three sides, and with outstanding public transport connections, our 114-hectare site provides a perfect work environment – you can enjoy the best of both worlds: a vibrant campus with the tradition of an established university.

Our Ideal Candidate

To be successful in this position you should possess a PhD in Computer Science or Software Engineering or a related area.

You will also demonstrate proven experience in curriculum design, coordination and teaching with evidence of effectiveness in online and/or blended educational practices.

The successful candidate will be expected to coordinate and teach large programming courses and track record of supervision of Honours student projects or equivalent to successful completion.

You must have unrestricted work rights in Australia for the duration of this appointment to apply. Visa sponsorship is not available for this appointment.

We value diversity and inclusion, and actively encourage applications from those who bring diversity to the University. Our Diversity and Inclusion webpage contains further information if you require additional support. Accessibility requirements and/or adjustments can be directed to recruitment@uq.edu.au.

What We Can Offer

This is a full-time, 3-year fixed term position at the Academic Level B or C.

The full-time equivalent base salary will be in the range for Academic Level B is $99,542.80 - $118,206, plus super of up to 17%. The total FTE package will be in the range $116,465 - $138,301 per annum.

The full-time equivalent base salary will be in the range for Academic Level C is $121,939 - $140,603, plus super of up to 17%. The total FTE package will be in the range $142,669 - $164,506 per annum.

You will be able to take advantage of UQ Sport Facilities, recreation leave loading, salary sacrificing options, on-campus childcare, discounted private health insurance, cheap parking, development programs and many other benefits.

For further information, please review The University of Queensland's Enterprise Bargaining Agreement 2018-2021.

Position Description

Download File 513673 Lecturer Senior Lecturer Computer Science or Sofware Engineering PD.pdf

Questions?

To discuss this role please contact Professor Amin Abbosh at a.abbosh@uq.edu.au

For application queries, please contact recruitment@uq.edu.au stating the job number in the subject line.

Want to Apply?

To submit an application for this role, use the APPLY NOW button below. All applicants must supply the following documents:

  • Cover letter
  • Resume
  • Responses to the Selection Criteria

To satisfy pre-requisite questions and ensure your application can be considered in full, all candidates must apply via the UQCareers portal by the job closing deadline. Applications received via other channels including direct email will not be accepted.

Advertised: 27 Apr 2021
Applications close: 27 May 2021 (11:00 PM) E. Australia Standard Time

 Apply now