Expressions of Interest – Sessional Teacher @ University of Newcastle

About UON

Be part of a university on the move. Building on strong foundations, we are ranked well within the top 250 universities worldwide in the QS and Times Higher Education ranking systems. The strength of UON’s foundations allow us to focus firmly on the future. UON invites you to consider joining our university – where curious and courageous minds collaborate to write the future for our university and the world. Your contribution to making us a world-class institution is recognised and rewarded in many different ways. Competitive salaries, formal awards programs, development opportunities and promotions are just the start.

Newstep is an enabling or tertiary preparation program for people aged from 18 to 20 years, who have not completed year 12 studies due to adverse circumstances or disadvantage experienced in their senior secondary schooling, or have completed year 12 studies but not gained entry to university.

About The Role

Our sessional teaching staff play a large role in contributing to the achievement of our strategic objectives, particularly our strong commitment to an exceptional student experience and our high quality innovative teaching and learning practices.

Their contribution to our success can be in many forms, including sessional coordination, lecturing, tutoring, marking, student consultations and other appropriate administrative tasks.

The English Language & Foundation Studies Centre is calling for expressions of interest in casual teaching in the Newstep program for Semester 1, 2019.

Willingness to teach students with a wide range of ability, prior knowledge and preparedness for study is essential. Competency in the use of technology, a commitment to providing timely student feedback and accurate record keeping are also required. You should be prepared to work as a member of a team cross-campus as required and to use innovative and creative teaching strategies including on-line delivery.

Applicants should also have experience teaching at a senior secondary and/or tertiary level in a lecture and/or tutorial format.

Please note: this is NOT a position in the Teaching of English as a Second Language.

Essential Criteria:

  • Relevant tertiary qualifications in one or more of the following discipline areas:
    • Academic Literacies
    • Australian Culture and Society
    • Film Studies
    • Information Technology
    • Legal Studies
    • Linguistics
    • Mathematics
    • Science
  • Experience teaching at a senior secondary and/or tertiary level with a sound understanding of pedagogical and/or adult learning principles.
  • Computer, administrative and record keeping skills (e.g. email, Blackboard, internet).
  • Ability to maintain regular communications and to meet deadlines. Demonstrated ability to maintain high levels of professionalism, act with direction and maintain confidentiality.
  • Monitor student performance. Provide remedial instruction and individual assistance as required and according to the conditions of the contract of employment.
  • Effective interpersonal skills with a proven capacity to communicate effectively and work collaboratively in a team.
  • Demonstrated ability to deal effectively with individuals from diverse backgrounds.
  • Knowledge of, and experience in adhering to workplace policies and procedures in the areas of work health safety, equity, diversity and promoting a respectful workplace culture.

Your application must include a statement addressing the essential criteria (maximum 3 pages). Applicants will also need to provide a current CV with 2-3 references.

For further information, see:http://www.newcastle.edu.au/students/foundation-studies/newstepor phone: Dr Joyleen Christensen, Foundation Studies Convenor Ourimbah, 02 4348 4190.

Applications may be mailed to:
Associate Professor Michelle Picard
Deputy Director
English Language and Foundation Studies Centre
University of Newcastle
University Drive
CALLAGHAN NSW 2308
OR emailed to michelle.picard@newcastle.edu.au

Closing Date: Applications close on end of August 2018. Successful applicants will be notified of interview times as soon as possible after that date.

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Professor in Statistics @ University of Technology Sydney

This is a fantastic opportunity for an experienced academic mentor specialising in statistics, to join a vibrant and supportive school within the Faculty of Science. A fully accomplished scholar in your own right, will provide you with the opportunity to build and mentor the next generation of academics in the discipline.

Whilst close to half of graduates from STEM fields are women, there is a significant underrepresentation of women in senior academic roles in these fields.

The University of Technology (UTS) has a strong commitment to diversity and inclusion, including a focus on increasing gender equity in STEMM through our participation in the Science in Australia Gender Equity (SAGE) pilot of the Athena SWAN program and initiatives such as our Research Equity Initiative and we strongly encourage and welcome applications from female academics for this role.

UTS has a strong tradition in Statistics, and you will complement and enhance the existing research strengths centered on the research groups of Distinguished Professors Louise Ryan and Matt Wand, as well as developing your own research directions and portfolio.

The Mathematical Sciences Discipline at UTS consists of a dynamic group of researchers, which is growing rapidly through a series of strategic hires in the areas of Statistics and Data Science.  This role forms one of three positions (we are also recruiting two Lecturer/Senior Lecturer posts) in the discipline of Statistics to continue to meet the growing student demand across a number of Faculties and Schools

This is an integrated position, where you will play a key role in teaching and development of current academic programs within the Discipline, as well as in existing or new collaborative programs with other faculties or units in the University. You will be actively involved in developing and teaching subjects within your specialisation, integrating research into the teaching program, engaging in and promoting innovative teaching practices in line with the UTS model of learning.

Our expectation is that you will participate in coordinating and delivering undergraduate classes at all levels, and will contribute to the development of the curriculum in Mathematics and Statistics. You will also contribute to the management duties of the School and Faculty, commensurate with the role of Professor. The School encourages both pure research and outwardly focussed research with impact in business and society.

While candidates from all areas of Statistics are encouraged to apply, the Discipline is particularly seeking applicants who can lead innovation in research in statistical methodology and/or computational statistics, and with a strong track record in applications-oriented research.

In return you will get to work in state-of-the art teaching, learning and research facilities with a collaborative cohort of academics. You will receive solid support from the institution in regard to research and you will also be able to avail of opportunities to conduct research with reputed scholars from across the University through interdisciplinary research centres at UTS.

It is a great time to join the School of Mathematical and Physical Sciences and we very much look forward to receiving your application.

For more information on the role and the selection criteria please download the full position statement by clicking apply and scrolling to the bottom of the page

Remuneration & Benefits
Base Salary Range: $185,713 pa AUD (Level E)

This role attracts 17% superannuation in addition to the base salary.

The University is a family-friendly workplace and offers employees a wide range of work options including flexible work practices, work-based child care centres (places subject to availability), generous parental leave and support  for staff with carer responsibilities.

This appointment would normally be on a continuing full-time basis, however other more flexible arrangements could be considered.

How To Apply

Prior to commencing your application for IRC109496 , please review the Position Statement and the relevant selection criteria- click on the apply link to be taken to the relevant page on our website.

You are required to address the selection criteria in your submission in a separate document using the Response to Selection Criteria template provided.

Please note that only those applications submitted via the UTS online recruitment system will be accepted.  Current UTS employees should apply through their UTS Employee Self Service function.

Specific enquiries on the application process or issues with your application may be directed to Abdul Macauley via email at abdulrahim.macauley@uts.edu.au or on +61 (0) 2 9514 1080.

Specific enquiries on the role may be directed to Professor Christopher Poulton via email at Christopher.Poulton@uts.edu.au

Please be advised that as part of the selection process that you may be requested to deliver a presentation, the audience for which may include individuals not on the Selection Panel.

Closing Date:  25th June, 2018 at 11.59pm (AEST)

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Research Fellow (Statistician) @ University of NSW

Research Fellow (Statistician) The Kirby Institute for Infection and Immunity in Society UNSW Medicine

Ref 493540

    • One of the Asia-Pacific’s leading research intensive Universities
    • Strong regional and global engagement
    • Cutting edge facilities and equipment

At UNSW, we pride ourselves on being a workplace where the best people come to do their best work.

The Kirby Institute is a leading global research institute dedicated to the prevention and treatment of infectious diseases. Established in 1986 in response to the then emerging HIV epidemic, the Kirby Institute now contributes to knowledge on a broad range of diseases, including viral hepatitis and sexually transmissible infections. 

About the role

    • $103,047-$121,478K plus 9.5% superannuation and leave loading 
    • Fixed Term (12 months)
    • Full-time

This position will will be responsible for contributing to epidemiological research conducted by the Kirby Institute including undertaking work on an NHMRC funded longitudinal study examining health outcomes and health service utilisation in a cohort of people who inject drugs, sex workers and ‘at risk’ young people. This study makes use of large-scale linked administrative data collections. In addition the Research Fellow will undertake analysis on several large HIV cohort studies. The Research Fellow will undertake data management and statistical analysis and contribute to developing project outputs, reports and peer-reviewed papers.

The Research Fellow will be an independent researcher who will have an interest in increasing their research profile with publications in peer reviewed journals, making applications for competitive funding, and undertaking higher degree student supervision

About you

To be successful in this role you will have:

    • Doctoral level qualifications or currently undertaking doctoral level study and/or equivalent experience in statistics, epidemiology or related area.
    • Proven high level research and data analysis experience including use of quantitative methods and programming and longitudinal analysis of large cohorts; experience undertaking record linkage studies is desirable.
    • Proven track record of independent research in a related discipline.
    • Experience in a research environment and with project management including drafting of ethics applications, reporting, data collection.
    • Demonstrated experience in developing peer reviewed publications in journals and conference papers.
    • Demonstrated high level skills in statistics, including use of statistical and programming software packages such as SAS, STATA, or similar.

You should systematically address all the selection criteria in your application.

Contact: Dr Bradley Mathers, Senior Research Fellow

E:  bmathers@kirby.unsw.edu.au

T: 02 9385 0900

Applications close:  13th June 2018 

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Research Fellow (Statistician) @ UNSW

Research Fellow (Statistician) The Kirby Institute for Infection and Immunity in Society UNSW Medicine

Ref 493540

 

  • One of the Asia-Pacific’s leading research intensive Universities
  • Strong regional and global engagement
  • Cutting edge facilities and equipment

At UNSW, we pride ourselves on being a workplace where the best people come to do their best work.

The Kirby Institute is a leading global research institute dedicated to the prevention and treatment of infectious diseases. Established in 1986 in response to the then emerging HIV epidemic, the Kirby Institute now contributes to knowledge on a broad range of diseases, including viral hepatitis and sexually transmissible infections. 

 

About the role

  • $103,047-$121,478K plus 9.5% superannuation and leave loading (pro rata)
  • Fixed Term ( 12 months)
  • Full-time

This position will will be responsible for contributing to epidemiological research conducted by the Kirby Institute including undertaking work on an NHMRC funded longitudinal study examining health outcomes and health service utilisation in a cohort of people who inject drugs, sex workers and ‘at risk’ young people. This study makes use of large-scale linked administrative data collections. In addition the Research Fellow will undertake analysis on several large HIV cohort studies. The Research Fellow will undertake data management and statistical analysis and contribute to developing project outputs, reports and peer-reviewed papers.

The Research Fellow will be an independent researcher who will have an interest in increasing their research profile with publications in peer reviewed journals, making applications for competitive funding, and undertaking higher degree student supervision

About you

To be successful in this role you will have:

  • Doctoral level qualifications or currently undertaking doctoral level study and/or equivalent experience in statistics, epidemiology or related area.
  • Proven high level research and data analysis experience including use of quantitative methods and programming and longitudinal analysis of large cohorts; experience undertaking record linkage studies is desirable.
  • Proven track record of independent research in a related discipline.
  • Experience in a research environment and with project management including drafting of ethics applications, reporting, data collection.
  • Demonstrated experience in developing peer reviewed publications in journals and conference papers.
  • Demonstrated high level skills in statistics, including use of statistical and programming software packages such as SAS, STATA, or similar.

You should systematically address all the selection criteria in your application.

Contact: Dr Bradley Mathers, Senior Research Fellow

E:  bmathers@kirby.unsw.edu.au

T: 02 9385 0900

Applications close:  13th June 2018 

Find out more about working at UNSW at jobs.unsw.edu.au

UNSW is an equal opportunity employer committed to diversity

Closing Date: 13th June

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Maths & Statistics Teacher @ Monash College

About us:

Monash College is the preferred pathway to Monash University for international students. For over 20 years we have been leaders in our field, preparing the next generation of global professionals to succeed at university and in their careers.

At Monash College Diplomas, we offer a guaranteed pathway into bachelor courses at Monash University. We have five diplomas leading to degrees in Arts, Art and Design and Architecture, Business, Engineering, Information Technology and Science.  All students who achieve the required grade are offered a place at Monash University with full credit into the second year of their degree studies.

About the role:

We are looking for a dynamic Maths and Statistics professional with industry expertise and previous teaching experience to join the Business Diploma team for a period of 8 months.

You will be responsible for the delivery of high quality teaching and learning; teaching classes/tutorials of up to 25 students. You will be embedded into our subject area teaching teams and when required, engage in designing curriculum and teaching improvements, development of innovative learning activities, assessment opportunities, and examination and moderation tasks.

The successful applicants will play an integral role in providing our students with an enriching, stable and consistent educational experience.

Essential Experience and Knowledge:

  • A minimum undergraduate degree with a major in the designated teaching area
  • The ability to adapt teaching practices to suit group and individual learning needs, including working with students from culturally and linguistically diverse backgrounds
  • Proven capability to use a range of teaching practices to engage students and sustain positive learning outcomes
  • Demonstrated ability in the use of digital technology to facilitate student learning and the successful use of learning management systems (e.g. Moodle, Blackboard)
  • Sound information and digital technology skills

Other Information:

  • The positions require a current Working With Children Check
  • Applicants must be eligible to work in Australia
  • Occasional travel between campuses may be required
  • Labour Day, Queen’s Birthday and Melbourne Cup day are normal working days, without penalty payments for time worked. Five days leave (accrued at 1⅔ per public holiday worked) will be granted in lieu, to be usually taken on the days falling between Christmas Day and New Year’s Day

To see the full position description please click here.

Location: Clayton based but may require occasional travel to the city campus in order to attend professional learning, meetings

Applications Close: Tuesday 29th May

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Lecturer/Senior Lecturer – Science, Technology, Engineering, Mathematics (STEM) @ University of Newcastle

About UON

UON is a global leader, distinguished by a commitment to equity and excellence, creating a better future for our regions through innovation and impact. We offer an extraordinary environment to push boundaries and take ideas forward. No matter your professional background, you will find a community of minds eager to work together to explore new ideas and continually improve the way we perform. UON is a place where we encourage innovation, celebrate achievement and reflect on our practice to ensure we are striving for excellence. Your contribution to making us a world-class institution is recognised and rewarded in many different ways. Competitive salaries, formal awards programs, development opportunities and promotions are just the start.

The Faculty of Education and Arts’ (FEDUA) mission is to serve our communities by being a global leader in teaching, research, equity and innovation in the Creative Industries, Education, Humanities and Social Sciences. The Faculty’s vision: Through teaching and research excellence we will inspire, enrich and transform humanity to support prosperous and equitable societies.

About the role

The School of Education, within the Faculty of Education and Arts (FEDUA), seeks to appoint a Lecturer/Senior Lecturer in STEM Education on a full-time, ongoing basis. The successful applicant will demonstrate the capacity to contribute to the School’s STEM agenda and more broadly to the global improvement in teacher education research.

The Lecturer/Senior Lecturer in STEM will deliver the three domains of academic work within the School of Education: Research and Innovation, Teaching and Learning, and Service and Engagement, in line with the Performance Expectations Framework (PEF) for Academic staff. The Lecturer/Senior Lecturer contributes to the delivery of the University’s Strategic Plan.

The role will be offered as a Lecturer (Level B) or Senior Lecturer (Level C), depending upon the applicant’s academic experience and skill. Applicants are advised to nominate which level they are applying for.

Skills and experience

To be successful in this role at both Level B and C you will have:

ESSENTIAL CRITERIA

  • A PhD in an area of Education with interdisciplinary STEM research experience, particularly in school settings.
  • Significant contributions to research at a tertiary level, evidenced by publications, experience with the preparation and submission of grant proposals, and contribution to research teams.
  • Significant contributions to teaching at a tertiary level for at least one STEM subject, and demonstrated experience with the development and delivery of curriculum and course materials for a variety of teaching modes including online and flexible delivery.
  • Demonstrated experience with, and willingness to, undertake course coordination.
  • Proven capacity to co-supervise Honours and HDR candidates.
  • Knowledge of, and experience in adhering to workplace policies and procedures in the areas of work health safety, equity, diversity and promoting a respectful workplace culture.
  • Demonstrated experience in taking ownership and driving innovation, process improvement and contributing to overall corporate operation.

   DESIRABLE CRITERIA

  • Demonstrated contribution to administration, governance and/or service, such as service to a Faculty, University, discipline, profession, and/or the broader community.
  • A teaching and research background with experience in teaching a relevant STEM subject in a school setting.

For those applying at Level C you will also need to to address the following Essential Criteria:

  • Significant contributions to STEM Research evidenced by a track record of high quality publications, supervision and completion of HDR candidates, and leading or collaborating in research collaborations funded by competitive grants.
  • Demonstrated experience with Program Convening and engaging in activities to enhance teaching and learning.
  • Evidence of leading small groups or teams to identify development opportunities and enhance teaching and learning activities.

Please note: In accordance with the University’s Staff Selection Guidelines, your application will be assessed on the selection criteria found by following instructions below. It is essential that you address each of the criteria to enable the selection committee to properly assess your application and suitability for interview.

Salary – Level B From $95,351 per annum

Salary – Level C From $116,805 per annum

Plus contributory superannuation with Unisuper, attracting a generous employer contribution of 17%.

Closing Date: 4th June

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TUTOR (STATISTICS) @ Melbourne University

Salary: $69,148 – $93,830 p.a. (PhD entry level is A.6 $87,415) plus 17% superannuation

Reporting to the Academic Manager, the Tutor (Statistics) is part of the Mathematics and Statistics Learning Centre (MSLC) team. The MSLC is committed to providing a tutorial program of the highest quality to all students studying Mathematics and Statistics at the University of Melbourne and provides a range of other services to the School of Mathematics and Statistics.

The role of Tutor (Statistics) involves delivering tutorials and computer laboratory classes within the undergraduate program, including the marking of assignments and examinations, and assisting with the preparation of course material.

The Tutor (Statistics) will contribute to teaching at the School and will engage in research. The research should be aligned to an area of expertise of a group within the School, including research into tertiary mathematics and statistics education.


Close date:    13 Jun 2018


Position Description and Selection Criteria

Download File 0045618.pdf
For information to assist you with compiling short statements to answer the selection criteria, please go to https://about.unimelb.edu.au/careers/selection-criteria

Closing Date: 13th June

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Postdoctoral Fellow in Mathematical Cognition @ Norwegian University

There is a temporary position as Postdoctoral Fellow available in the interdisciplinary research group for mathematical cognition at the Department of Teacher Education. The position is for a period of two years with the possibility of a one-year extension with an associated travel grant.

The position as a Postdoctoral Fellow is a fixed-term position with the primary goal of qualifying for work in professional academic chair positions.

Project start is September 1st 2018, or as soon as possible.

Description

The position is connected to the project “Mathematical reasoning with cognitive technology” funded by the Research Council of Norway.

The main aim of the project is to develop models of mathematical reasoning and problem solving that can a) advance theories of mathematical cognition and b) lead to new technology for supporting mathematical learning on digital platforms.

The cross-disciplinary project combines empirical and computational research at the intersection between mathematics education, cognitive science, and artificial intelligence.

The fellow will mainly contribute to the development of computational models for mathematical cognition using tools from machine learning, neural networks and artificial intelligence.

The fellow will be a part of the research group for mathematical cognition at the Department of Teacher Education, with researchers from mathematics education, mathematics, neuroscience, information technology, and artificial intelligence. The project is a collaboration between researchers from NTNU, Stanford University, Rutgers University, and Education Development Center.

Please contact us for more information about the project.

Obligations

  • The position is connected with the project «Mathematical reasoning with cognitive technology”
  • The position is to contribute to modeling and theoretical investigations of mathematical cognition.

Qualifications

  • A PhD degree in a relevant field is required.
  • Programming experience is required (e.g. python, matlab)
  • Experience with machine learning or neural networks is an advantage
  • Fluent English skills are required.
  • Personal qualifications like self motivated and solution oriented will be ascribed high importance.

Salary and Working Conditions

The Postdoctoral Fellow is renumerated according to code 1352 in the salary scale for Norwegian state employees, starting at gross NOK 490 900 per year of which 2 % is deducted for the State Pension Scheme.

Application

Applications should include:

  • A publication list.
  • Relevant samples of publications (no more than five).
  • A description of research interests relevant to the project
  • A CV with information about education and previous research experience
  • Certificates and study records
  • Contact information for at least three references

Joint work will be evaluated. If it is difficult to identify the contributions from individuals in a joint piece of work, applicants should enclose a short descriptive summary of what he/she contributed to the work.

Diversity is important to a good work environment. We encourage all qualified candidates to apply regardless of gender, disabilities, and cultural background.

Information about the applicants may be open to public inspection as provided by the Freedom of Information Act.

For further information about the position, contact the project leader, Associate Professor Trygve Solstad, email: trygve.solstad@ntnu.no.

For information about processing of applications, please contact HR, Aaste Line Strand, e-mail: aaste.l.strand@ntnu.no

An application including attachments should be sent electronically through: www.jobbnorge.no.

ABOUT THIS JOB

  • Deadline Friday, June 1, 2018
  • Employer NTNU – Norwegian University of Science and Technology
  • Website
  • Municipality Trondheim
  • Place of service Kalvskinnet
  • Jobbnorge ID 152895
  • Internal ID 2018/12417
  • Scope Fulltime
  • Duration Temporary

Closing Date: 1st June

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PhD Position in Mathematical Cognition @ Norwegian University

There is a temporary position as PhD candidate in mathematical cognition available in the research group for mathematical cognition at the Department of Teacher Education. This is a recruitment position to provide promising researchers the opportunity for professional development through studies towards a PhD degree. The position will be connected to a PhD-program at NTNU that suits the candidate’s qualifications. The Department of Teacher Education will be the employer.

Project start is September 1st , 2018 or as soon as possible.

Description

The position is associated with the project “Mathematical reasoning with cognitive technology” funded by the Research Council of Norway.

The main aim of the project is to develop models of mathematical reasoning and problem solving that can a) advance theories of mathematical cognition and b) lead to new technology for supporting mathematical learning on digital platforms.

The cross-disciplinary project combines empirical and computational research at the intersection between mathematics education, cognitive sciences, and artificial intelligence.

The candidate will contribute to both empirical investigations of mathematical reasoning and the development of computational models for mathematical cognition, with a focus on the area that best reflects the candidate’s qualifications and interests.

The candidate will be a part of the research group for mathematical cognition at the Department for Teacher Education at NTNU. The project is a collaboration between researchers from NTNU, Stanford University, Rutgers University, and Education Development Center.

Please contact us for more information about the project.

Obligations

  • The position is part of the project “Mathematical reasoning with cognitive technology”
  • The position is to contribute to empirical and theoretical investigations of mathematical cognition.
  • The appointment can be for a period of three years or four years. A four-year appointment includes teaching duties at the institute for a total of one year over the four-year period.

Qualifications

  • A master’s degree in a relevant field, like education science, psychology, mathematics, computer science, or similar education to equivalent level
  • A strong academic record. For the last two years of the master’s degree, a weighted average grade of B or higher is required
  • Fluency in written and spoken English
  • Knowledge of process-oriented approaches to learning is an advantage
  • Experience with programming is an advantage (e.g. python, matlab, javascript)
  • Experience with machine learning and/or neural networks is an advantage

We are looking for a candidate who is self motivated, solution oriented, and motivated to contribute to a friendly work environment.

Salary and Working Conditions

The PhD position is remunerated according to code 1017 in the salary scale for Norwegian state employees, starting at gross NOK 436 900 per year, of which 2 % is deducted for the State Pension Scheme.

Application

Employment in a PhD position requires admission to a PhD program at NTNU. Relevant PhD programs can be found at the Faculty of Social and Educational Sciences or the Faculty of Information Technology and Electrical Engineering depending on the candidate’s qualifications.

Application should include:

  • A description of research interests related to the project.
  • CV, recommendations, certificates and diplomas.
  • Publications and other relevant scientific work.
  • Contact information for at least two references

Joint work will be evaluated. If it is difficult to identify the contributions from individuals in a joint piece of work, applicants should enclose a short descriptive summary of what he/she contributed to the work.

Information about the applicants may be open to public inspection as provided by the Freedom of Information Act.

Diversity is important to a good work environment. We encourage all qualified candidates to apply regardless of gender, disabilities, and cultural background.

For further information about the position, contact the project leader, Associate Professor Trygve Solstad, at +47 95 25 89 17 or trygve.solstad@ntnu.no.

For information about processing of applications, please contact HR, Aaste Line Strand, e-mail: aaste.l.strand@ntnu.no

An application including attachments should be sent electronically through: www.jobbnorge.no.

ABOUT THIS JOB

  • Deadline Friday, June 1, 2018
  • Employer NTNU – Norwegian University of Science and Technology
  • Website
  • Municipality Trondheim
  • Place of service Kalvskinnet
  • Jobbnorge ID 152899
  • Internal ID 2018/12415
  • Scope Fulltime
  • Duration Temporary

Closing Date: 1st June

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Lecturer/Senior Lecturer in Applied Mathematics (Female Only) @ Monash Uni

Job No.: 576578

Location: Clayton campus

Employment Type: Full-time

Duration: Continuing appointment

Remuneration: $95,297 – $113,166 pa Level B / $116,737 – $134,606 pa Level C (plus 17% employer superannuation)

  • Be inspired, every day
  • Drive your own learning at one of the world’s top 80 universities
  • Take your career in exciting, rewarding directions

The School of Mathematical Sciences is a research leader with a strong international reputation in Pure Mathematics, Statistics, Mathematical Finance, and Applied and Computational Mathematics. Monash University is a leading Australian research university that ranks in the top-100 globally. Monash University is located in Melbourne, which is a major cosmopolitan centre and has been named the world’s most liveable city for several years in a row.

The Opportunity

The School of Mathematical Sciences at Monash University invites applications for the position of Lecturer/Senior Lecturer in Applied Mathematics.

Monash University recognises the need to be diverse, inclusive, and excellent. The School of Mathematical Sciences seeks to increase the diversity of the school, particularly the number of female academic staff members, in order to add distinct viewpoints and broader experiences to research and teaching, and to inspire the next generation of mathematics students and staff. Therefore the school will only consider applications from suitably qualified female candidates for this position. The female-only requirement is a lawful special measure under section 12 of the Equal Opportunity Act and section 7D of the Sexual Discrimination Act.

Candidates will be expected to have outstanding research records and help our drive for excellence across the School. All areas of Applied Mathematics will be considered. The School’s current areas of strength in Applied Mathematics include fluid mechanics, magnetohydrodynamics, numerical analysis, scientific computing, and operations research, and we anticipate growth over the next few years in the areas of computational mathematics and mathematical biology. We are interested in outstanding researchers who apply mathematics to problems in science, engineering, biology and technology. To be considered you will have a PhD in mathematics or a related area, proven ability to perform independent research, and a strong commitment to teaching and the supervision of research students.

This role is a full-time position; however, flexible working arrangements may be negotiated.

Your application must address the selection criteria. Applicants who have prepared research and teaching statements (or similar documents), may upload them as additional documents, and may refer to them when addressing the selection criteria. You may also refer to your academic CV when addressing the selection criteria. Please refer to “How to apply for Monash jobs“.

Enquiries

sci-maths-jobs@monash.edu

Position Description

PD- Lecturer Level B

PD- Lecturer Level C

Closing Date: Sunday 8 July 2018, 11.55 pm AEST

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Lecturer/Senior Lecturer in Applied Mathematics @ Monash Uni

Job No.: 576575

Location: Clayton campus

Employment Type: Full-time

Duration: Continuing appointment

Remuneration: $95,297 – $113,166 pa Level B / $116,737 – $134,606 pa Level C (plus 17% employer superannuation)

  • Be inspired, every day
  • Drive your own learning at one of the world’s top 80 universities
  • Take your career in exciting, rewarding directions

The School of Mathematical Sciences is a research leader with a strong international reputation in Pure Mathematics, Statistics, Mathematical Finance, and Applied and Computational Mathematics. Monash University is a leading Australian research university that ranks in the top-100 globally. Monash University is located in Melbourne, which is a major cosmopolitan centre and has been named the world’s most liveable city for several years in a row.

The Opportunity

The School of Mathematical Sciences at Monash University invites applications for the position of Lecturer/Senior Lecturer in Computational Mathematics.

Candidates will be expected to have outstanding research records and help our drive for excellence across the School. The two areas of specific interest for this position are Mathematical Biology and Computational Mathematics. All areas of Mathematical Biology and Medicine will be considered, including research that involves collaborations with biologists or medical researchers. Research areas in Computational Mathematics that are of specific interest include numerical PDEs, numerical linear algebra, uncertainty quantification, high performance computing, computational fluid dynamics, computational biology, optimisation, optimal control, and operations research. We are interested in outstanding researchers who apply Computational Mathematics techniques to problems in science, engineering, biology and technology. Exceptional candidates in other areas of Applied Mathematics will also be considered. To be considered you will have a PhD in mathematics or a related area, proven ability to perform independent research, and a strong commitment to teaching and the supervision of research students.

This role is a full-time position; however flexible working arrangements may be negotiated. The School of Mathematical Sciences aims at increasing the representation of women in its academic ranks. Applications from qualified female candidates are especially encouraged.

Your application must address the selection criteria. Please refer to “How to apply for Monash jobs“.

Enquiries

sci-maths-jobs@monash.edu

Position Description

PD – Level B Lecturer Senior Lecturer in Applied Mathematics (Mathematical Biology or Computational Mathematics)

PD – Level C Lecturer Senior Lecturer in Applied Mathematics (Mathematical Biology or Computational Mathematics)

Closing Date: 8th July

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Talk About “your” Teaching And Learning (TATAL) @ Adelaide HERDSA

Take some time at HERDSA 2018 to Talk About “your” Teaching And Learning (TATAL)

Is it time to ‘hit the pause button’ and reflect on my teaching? Do I have a teaching philosophy? Well! TATAL might be for you. The 8th HERDSA TATAL workshop offers an opportunity to share, reflect and review the values and beliefs that underlie your approach to teaching and learning.
We’re ‘flipping out’ at Adelaide HERDSA TATAL this year. The half-day workshop is supported by an online preconference learning experience. Following the conference, you can continue the experience with the workshop group to develop a teaching portfolio suitable for a HERDSA Fellowship application.
Register for TATAL by Monday 18th June (online portion commences June 19). There is a maximum of 30 participants, so register early. Go to http://herdsa2018.aomevents.com.au/pre-conference/#pre_conference_workshop

For further information go to: http://herdsa2018.aomevents.com.au/wp-content/uploads/sites/25/2018/04/TATAL-flyer-2018.pdf

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RESEARCH FELLOW IN STATISTICS @ Melb University

School of Mathematics and Statistics
Faculty of Science

Salary: $69,148 – $93,830 p.a. (Level A PhD entry level $87,415 p.a.) plus 9.5% superannuation

Postdoctoral position available to undertake high level methodological and theoretical research on statistical problems involving nonparametric curve estimation, imperfectly observed data and functional data analysis, with particular emphasis on theoretical developments. Please see Position Description for more details.

Closing Date: 28th May

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Associate Professor/ Professor of Numeracy @ Macquarie University

Macquarie is the university of pioneering minds. Globally recognised as one of Australia’s leading research universities, Macquarie is a place where extraordinary new possibilities come to light. We’ve helped people to hear, introduced wireless internet technology to the world and broken through traditional boundaries by appointing Australia’s first female vice-chancellor.

At Macquarie you’ll join a vibrant community of diverse perspectives, all working towards a brighter future for our communities and our planet. Surrounded by beautiful parkland campus, our students and staff are free to explore and discover, supported by facilities including a high-tech library, private teaching hospital, gym and pools, childcare facilities, a campus train station and the newly expanded Macquarie Centre shopping complex next door.

Join us and start seeing the world in a different light.

Macquarie’s Faculty of Human Sciences holds a distinctive place on the global stage, incorporating the departments of psychology, cognitive science, linguistics and educational studies. With several internationally acclaimed centres producing ground-breaking research in areas such as language acquisition, emotional health, atypical development, learning in a social world, expertise and elite performance and reading development, our faculty is a place of passionate educators and unbridled discovery. Supported by state-of-the-art facilities including the Australian Hearing Hub, we work together to investigate and answer some of the big questions about what makes us human.

The Role

Join a thriving group of academics, building capacity and cementing Macquarie University as an internationally recognised hub of research excellence in cognitive development. We are seeking a research leader to complement our strengths in reading development, with their expertise in the development of numeracy. We are looking to transform our understanding of how the development of numeracy interacts with other key aspects of child development such as language, literacy and emotional health.

We are seeking an individual with an international reputation in teaching, research and community engagement. As a senior member of the team, you will leverage a range of cutting-edge brain-imaging facilities, providing exciting scope for exploring the neural bases of mathematical cognition and numeracy disorders, regularly publish high-quality research, lead interdisciplinary collaborations and have an interest in the integration of research into clinical practice.

How to Apply

For a confidential discussion about the role and the University’s expectations, please contact Professor Simon Handley on +61 2 9850 8030 or email dean.humansciences@mq.edu.au.

For the position description and the selection criteria, please contact Leonie Verzeletti on +61 2 9850 8507 or leonie.verzeletti@mq.edu.au. Applicants must address the selection criteria in no more than six pages to be considered for this role and submit as part of their application.

Applications are to be submitted through the Macquarie University online recruitment system by clicking the ‘Apply’ button.

Closing Date: 10th June

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Lecturer/Senior Lecturer (Statistics and Analytics) @ RMIT University

 Convenient CBD Location
• Full-Time, Continuing Position
• $92,815p.a.+ 17% Superannuation

Our Organisation

RMIT is a global university of technology, design and enterprise. Our mission is to help shape the world through research, innovation, teaching and engagement, and to create transformative experiences for our students, getting them ready for life and work.

The School of Science is one of RMIT’s top-performing research schools, we deliver research that addresses the ‘real life questions’ essential to Australia’s innovation agenda

In the 2016 QS World University Rankings by Subject, RMIT is 16th in the world (highest ranked in Australia) in Art and Design, and 36th in the world (fourth highest in Australia) in Architecture and the Built Environment. We are also among the world’s top 100 universities in Engineering (Civil and Structural; Electrical and Electronic; and Mechanical, Mechanical, Aeronautical and Manufacturing); Accounting and Finance; and Business and Management Studies).

RMIT University is an Athena SWAN member and the College of Science, Engineering and Health is central to driving improvements in gender equality, diversity and inclusion, particularly in the Science, Technology, Engineering, Mathematics and Medicine (STEMM) disciplines.

The Role and Responsibilities

As a Statistics and Analytics Lecturer, you will maintain and advance your scholarly research and professional capabilities relevant to this discipline. You will actively promote the discipline by establishing and sustaining memberships, links and partnerships with academic, industry and professional communities. You will contribute to the teaching and research activities of the School in the area of Statistics and Analytics.

Skills & Experience Required

You will have demonstrated the ability to undertake independent research that contributes to existing School research areas, as evidenced by publications, development of new research initiatives, competitive research funding, and the building of industry links. Experience supervising Masters and PhD research students will be essential to your success n the role. An emerging national research record along with an ability to manage an academic program team would be highly desirable.

To Apply

For further information please contact Asha Rao on +61 3 9925 1843 or to view the full salary range, please see the position description; visit yourcareer.rmit.edu.au and search using job reference number 563651.

Lec-Snr_Statistics_v1.1.docx

Applications close on Tuesday 29th May 2018.

Applicants are requested to separately address the key selection criteria as outlined in the Position Description. This role will require satisfactory confirmation of a Working with Children Check.

RMIT is an equal opportunity employer committed to being a child safe organisation. We are dedicated to attracting, retaining and developing our people regardless of gender identity, ethnicity, sexual orientation, disability and age. Applications are encouraged from all sectors of the community and we strongly encourage applications from the Aboriginal and/or Torres Strait Islander community.

Closing Date: 29th May

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Assistant Professor – Mathematics @ Dubai

Assistant Professor – Mathematics
Location        Dubai, AE
Organization Name        School of Mathematical and Computer Sciences – Dubai Campus

About Heriot-Watt University

Heriot-Watt University has five campuses: three in the UK (Edinburgh, Scottish Borders and Orkney), one in Dubai and one in Malaysia. The University offers a highly distinctive range of degree programmes in the specialist areas of science, engineering, design, business and languages.

With a history dating back to 1821, Heriot-Watt University has established a reputation for world-class teaching and practical, leading-edge research, which has made it one of the top UK universities for business and industry. We connect with industry at every level and develop programmes to match their needs – so employers get work-ready industry-fit graduates.

Heriot-Watt is also Scotland’s most international university, boasting the largest international student cohort.

We have an established set of values that help us to nurture innovation and leadership, and show our commitment to continuous improvement and development in all our activities.

For full details on our University please view our Careers at Heriot-Watt http://www.hw.ac.uk/about/careers-at-heriot-watt.htm
About our Team 

The School of Mathematical and Computer Sciences has been teaching both undergraduate and postgraduate programmes at our Dubai Campus since it opened in 2005. In 2018 we plan to introduce the MSc Artificial Intelligence and the MSc Business Information Management. This continued expansion of our programmes has necessitated the recruitment of an additional academic staff member to deliver both mathematical and statistical courses to both undergraduate and postgraduate students. These courses will be delivered to the school’s computer science students and also to students from other schools particularly engineering students.

The post holder will join an established group of school academic staff at the Dubai Campus and we plan to expand our student numbers over the next five years.
Detailed Description

We are expanding our Computer Science teaching at our Dubai campus and we require an additional Assistant Professor with a degree in mathematics and statistics to deliver courses in these fields to both undergraduate and postgraduate students. Ideally we would like this new position to be filled by the 1st August 2018, ready for the start of the 1st semester in September 2018. The Assistant Professor will develop, deliver and assess various undergraduate and postgraduate mathematical and statistics courses at the University’s Dubai Campus. In addition this position will require the undertaking of basic administrative duties, involvement in student recruitment activities and the supervision of postgraduate and undergraduate student projects and dissertations. The successful applicants will hold a PhD in Mathematics or a cognate discipline. Previous teaching experience is essential.
Key duties and responsibilities

The successful applicants will be responsible for:

  • The delivery and assessment of undergraduate and postgraduate courses in mathematics and statistics subjects  to students at the Dubai campus
  • Supervision of both undergraduate and postgraduate projects and dissertations at the Dubai campus
  • Student recruitment and admissions activities
  • Administrative duties

Education, qualifications and experience

Essential

  • PhD or equivalent in appropriate discipline.
  • A track record of involvement in teaching university-level mathematics and statistics.
  • Working knowledge of statistical software packages.
  • Working knowledge of programming environments for statistics such as R.
  • Ability to teach and supervise topics in a wide range of mathematical, statistical and other subjects.
  • Excellent spoken, written and understanding of English.
  • Relevant team-working and interpersonal skills
  • The ability to work flexibly and carry out teaching activities in the evenings and weekends.

Desirable 

  • Member of appropriate professional body.
  • Teaching qualification or in the process of obtaining one.
  • Experience of teaching in other areas such as computer science or study skills.
  • A track record of publishing high quality mathematics research in internationally leading academic journals.
  • Evidence of scholarship and/or research in mathematics and statistics and/or education.
  • Experience of working at a British university or experience of delivering British university programmes in other countries.
  • An ability to identify and develop opportunities for personal and collective research.
  • The ability to take up the appointment in August 2018.

Closing Date: 31st May

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Assistant/Associate Professor of Mathematics and STEM @ American University of Afghanistan

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Associate professor/professor in computational statistics @ QUT

Assoc Pro Professor Computational Statistics Final

Closing Date: 10th June

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IEEE TALE 2018 Conference on Educational Technology and STEM Education

TALE is the IEEE Education Society’s flagship Asia-Pacific (IEEE Region 10) conference, catering to researchers and practitioners with an interest in science, technology, engineering and mathematics (STEM) education – with a particular emphasis on electrical and electronic engineering, telecommunications, computer engineering, computer science and allied disciplines – as well as those interested in the innovative use of digital technologies for learning, teaching and assessment in any discipline. The target audience of the conference is diverse and includes those working in the higher education, vocational education and training (VET), K-12, corporate, government, and healthcare sectors.

Where: Wollongong

When: 4-7 December

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Professor in Mathematics @ Kalifa University, Abu Dhabi

ob Title     Math Faculty

Location    AE

Organization Name    College of Science

About University

The newly-established Khalifa University of Science and Technology combines The Masdar Institute of Science and Technology, Khalifa University of Science, Technology and Research and The Petroleum Institute into one world-class, research-intensive institution, seamlessly integrating research and education to produce world leaders and critical thinkers in applied science and engineering. Khalifa University of Science and Technology endeavors to be a leader among research intensive universities of the 21st century, while catalyzing the growth of Abu Dhabi and the UAE’s rapidly developing knowledge economy.

Brief Description

College of Arts and Sciences

The College is distinguishing itself as a major contributor towards economic diversification within Abu Dhabi and the region, particularly through its close alignment with growing regional industries in key themes such as Energy, Aerospace, Healthcare, Transportation and Telecommunications.

The College of Arts and Sciences is a vibrant community of academic scholars, students and staff who are dedicated to science education and innovation for the ultimate benefit of society. To serve this purpose, the College empowers students with a great sense of purposeful academic curiosity and appreciation of the social and environmental context within a rapidly changing world.

Detailed Description

About the Department

The Department of Mathematics is currently an academic unit within the College of Arts and Sciences comprising some 30 academics. The department offers a B.Sc. in Applied Mathematics & Statistics, launched in August 2015, with concentrations in Financial Mathematics and Mathematical Biology. The department is also responsible for teaching mathematics and statistics to students majoring in engineering disciplines.
Detailed information can be found at:
http://www.kustar.ac.ae/pages/department-of-applied-mathematics-and-sciences

The department invites applications for faculty positions in all ranks and in any discipline relevant to Mathematics. Particular emphasis will be placed on candidates with a background in one or more of the following areas: Industrial Mathematics, Computational Mathematics, Applied Mathematics, Statistics, Financial Mathematics and Mathematical Biology.

Job Requirements

The candidate is expected to have a strong research potential, demonstrated by relevant publications in high-impact journals, and teaching experience in above mentioned areas. The candidate must possess excellent communication skills.

Successful candidates are expected to teach at the undergraduate and graduate levels, establish and maintain active research programs that lead to peer-reviewed publications in high-impact professional journals, and provide service to the department, the university, and the profession.

Successful candidates are also expected to be involved in thematic research within one or more of the university research priority areas.

A PhD or equivalent doctorate in related discipline from an accredited institution is required.  Preference will be given to candidates with education from and/or previous service in pre-eminent institutions of higher education.

Closing Date: 31st July

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