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INFORMS / CORS Student Chapter at University of Toronto |
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UTORG Workshop: Prepare for the Academic Job Market |
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Limited-term Lecturer or Assistant Professor Position in Data Science
Deadline: August 15th
Position Summary: The Department of Statistical and Actuarial Sciences, in the School of Mathematical and Statistical Sciences, Faculty of Science at Western University is pleased to announce a search for a 3-year limited-term Lecturer or Assistant Professor position in Data Science. The rank and salary will be commensurate with the successful applicant’s qualifications and experience. The starting date will be September 1, 2021.
The Department hosts an undergraduate program in Data Science and a professional grad- uate program in Data Analytics and is also a key contributor to the new initiative that will unify instruction in Data Science across the campus community. Faculty within the depart- ment study a diverse range of both theoretical and applied problems, and include members with joint appointments in Computer Science, Economics, and the Brain and Mind Institute. This appointment is intended to support the teaching mission of the Department in the area of Data Science.
The successful candidate is expected to teach Data Science and Statistics courses at the undergraduate level. They will provide leadership for the undergraduate Data Science pro- gram of the Department and be actively involved in the recently introduced Data Science courses offered to our campus community.
Qualifications: The successful candidate must satisfy one of the following:
- a PhD in Statistics (or closely related field) with demonstrated post-secondary teaching experience of at least 3 courses in Statistics and/or Data Science;
- a MSc in Statistics (or closely related field) with a minimum of 3 years post-secondary teaching experience in Statistics and/or Data Science;
- a MSc in Statistics (or closely related field) with a minimum of 3 years working in a data science position in industry or government.
and have demonstrated excellent communication skills. Preferred assets include: experience developing and delivering timely, high-quality courses related to statistics and data science; formal training in education or professional development related to university teaching and learning; scholarship on teaching and learning in the areas of statistics and data science; a PhD in Statistics or a closely related field; and experience as a statistical consultant or data scientist within industry or government. All qualifications will be evaluated based on the candidate’s career stage and chosen career path.
Candidates should submit a curriculum vita and one-page teaching statement. Three letters of reference, at least one of which include detailed comments on the candidate's teaching abilities must be sent by the referees directly to the address below:
Professor Kristina Sendova, Chair
Department of Statistical and Actuarial Sciences The University of Western Ontario
London, Ontario N6A 5B7, Canada
Email: ksendova@stats.uwo.ca
Please ensure that the form available at:
http://www.uwo.ca/facultyrelations/faculty/Application-FullTime-Faculty-Position-Form.pdf
is completed and included in your application submission.
Consideration of applications will begin on August 15, 2021 and will continue until the po- sition is filled. We thank all applicants for their interest, but only those selected for an inter- view will be contacted.
Positions are subject to budget approval. Applicants should have fluent written and oral communication skills in English. The University invites applications from all qualified indi- viduals. Western is committed to employment equity and diversity in the workplace and welcomes applications from women, members of racialized groups, Indigenous peoples, persons with disabilities, persons of any sexual orientation, and persons of any gender identity or gender expression.
In accordance with Canadian Immigration requirements, priority will be given to Canadian citizens and permanent residents.
Accommodations are available for applicants with disabilities throughout the recruitment process. If you require accommodations for interviews or other meetings, please contact Artie Harricharran at aharric3@uwo.ca.
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Full-Time Job Opportunity - Toronto, ON: Waterfront International
Position Summary: Waterfront International is a Toronto-based quantitative finance research firm, specializing in developing computer based statistical trading strategies. Waterfront’s selective hiring process considers only highly talented individuals with a history of exceptional achievement.
We are currently looking for highly talented individuals with a history of exceptional academic and/or industry achievement who are interested in working in a fast paced, stimulating and dynamic environment.
Quantitative Research Analyst
Primary Responsibilities:
- Develop, modify, optimize, test and implement real time quantitative trading models and strategies.
- Perform statistical analysis of historical and current financial market data.
- Research strategies in equities, futures, fixed income, and other asset classes.
- Generate new indicator ideas.
Requirements of the Candidate include:
- PhD or Masters in Mathematics, Statistics, Physics or Operations Research.
- Must possess expert level C/C++ programming skills.
- Incredibly strong problem solving and analytical skills.
- Time series analysis and statistical modeling experience.
- Some financial experience desired but not required.
- Must be a strong self-starter and able to work well independently.
Waterfront is committed to providing accommodations for job applicants with disabilities. Accommodations will be made available upon request of the candidates at all stages of the hiring process.
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Post-doc position at the Industrial Engineering Research Group at UBC
The Industrial Engineering Research Group at the University of British Columbia seeks a candidate with a strong background in mathematical programming and operations research methods, and a great interest in
applying those methods in forest products/forest-based biomass supply chain management. The candidate has to have a Ph.D. degree in operations research, industrial engineering, or other related fields
and a good knowledge of computer programming and supply chain modeling. The candidate must have demonstrated excellent research skills and the ability to communicate and collaborate with others efficiently.
This is a full-time position for one year with the possibility of extension. The starting date is July 1, 2021. Applications will be accepted until the position is filled.
The successful candidate will work closely with Dr. Taraneh Sowlati and will assist in 1) developing models and decision support tools, 2) preparing grant proposals, 3) writing reports for funding agencies, 4) guiding graduate students, and 5) writing research papers for refereed journals.
Interested candidates should send a cover letter, a copy of their CV, the contact information of 3 references, and related published work to Dr. Taraneh Sowlati at taraneh.sowlati@ubc.ca.
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PhD position in Combinatorial Optimization (UQAM and Université Laval)
Deadline: August 15th
Project title: Solution methodologies for binary quadratic optimization problems
Start date: 1 January 2022
Summary of the project: Binary Quadratic Optimization (BQO) is a special class of discrete optimization, which amounts to optimizing a quadratic objective function of binary decision variables subject to a set of linear constraints. Some applications of BQO include portfolio optimization, projects selection, sustainable development, facilities location and vehicle routing problems. BQO problems are known to be very challenging to solve due to the non-linear nature of their objective functions and the discrete nature of their decision variables. Indeed, even simple special cases of BQO, such as the quadratic knapsack problem, the quadratic assignment problem, etc., are known to be strongly NP-hard. The aim of this research project is to develop a host of innovating solution methodologies for solving BQO problems. These methodologies will include heuristic, meta-heuristics and exact algorithms. Some of the techniques to be used include, but not limited to, dynamic programming, cutting planes, polyhedral studies, branch-and-cut and decision diagram.
We invite applications from highly motivated candidates for full-time PhD positions to develop advanced methodologies for solving BQO problems and use them for some applications in finance, in energy and in transportation.
Work environment:
The successful candidates will be jointly supervised by Leandro Coelho (professor at Université Laval in Quebec City) and Franklin Djeumou Fomeni (professor at Université du Québec à Montréal, UQAM, Montreal). They will also have the opportunity to become members of both GERAD (www.gerad.ca) and CIRRELT (www.cirrelt.ca).
Qualifications:
Masters in Operations Research or equivalent
Knowledge of optimization methods (e.g.: heuristics, linear programming)
Programming skill: C/C++ (preferred) or Python/Matlab
Conditions: A financial support of up to 22 000$ per year will be given
Required documents: Degrees certificates, Academic transcripts, CV, Cover letter and two reference letters
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Post-doctorate position at University of Toronto
Applications are invited for a Post-Doctoral position at the University of Toronto, Canada. The broad area of research is Operations Research with possible focus areas in Approximation Algorithms, Discrete Optimization (theoretical or computational), Scheduling, Network Optimization, Facility Location, or Stochastic
Modeling. However, strong applicants in all areas of Operations Research will be considered. The applicants should be within 5 years (or close to completion) of their Ph.D. in Operations Research / Management, Computer Science, Applied Mathematics, Industrial Engineering, or a related field.
The successful candidate will work under the supervision of professor Igor Averbakh in the Department of Management, University of Toronto
Scarborough. The position carries a salary of $4,100 Canadian dollars per month. The approximate start date is September 2021 (can be negotiable).
The initial contract will be for 6-12 months, with a possibility of extensions for up to 2 years. To apply, send a C.V. and a sample of recent research (papers, preprints, etc.) electronically to professor Igor Averbakh at igor.averbakh@rotman.utoronto.ca
Applications will be accepted until the position is filled.
The normal hours of work are 40 hours per week for a full-time postdoctoral fellow (pro-rated for those holding a partial appointment) recognizing that the needs of the employee's research and training and the needs of the supervisor’s research program may require flexibility in the performance of the employee's duties and hours of work.
Employment as a Postdoctoral Fellow at the University of Toronto is covered by the terms of the CUPE 3902 Unit 5 Collective Agreement. The University of Toronto is strongly committed to diversity within its
community and especially welcomes applications from racialized persons / persons of colour, women, Indigenous / Aboriginal People of North America, persons with disabilities, LGBTQ persons, and others who may contribute to the further diversification of ideas. |
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PhD Positions in Operations Research / Operations Management at the Dept. of Operations Analytics, Vrije Universiteit Amsterdam
Deadline: September 6th
Are you a highly motivated student interested in doing research in one of the research fields of Operations research /operations management? Then you can now apply for one of the following Ph.D. positions Please apply at Vrije Universiteit Amsterdam.
Location: Amsterdam
Job Description: The Department of Operations Analytics of the Vrije Universiteit Amsterdam studies how data can be transformed into better decisions for a variety of processes and operations. Research efforts are aimed at analyzing data-driven decision-making problems arising in industry and society, in particular related to Logistics and Supply Chain Management, Sustainability, and Networks.
By examining the mathematical structure and properties of these decision-making problems and by developing novel data analysis and optimization methods, the Department wants to offer academic and practical insights on how to tackle contemporary challenges.
We are offering 5-year fully-funded Ph.D. positions on the following research topics:
- Mathematical optimization for decision-making under decision-dependent uncertainty
- Operations management for a sustainable economy
- Emerging trends in urban logistics: The impact of stakeholder behavior on decision making and sustainability
- Learning to optimize: The application of learning tools to improve optimization algorithms
More details on these research topics can be found here: https://surfdrive.surf.nl/files/index.php/s/wJ403RiFrOr4Nix
As a Ph.D. student on these projects, your main tasks and responsibilities are:
- to develop new ideas and insights which will lead to international publications and a Ph.D. thesis
- to actively participate in international conferences and contribute to projects with academic and industrial partners
- to assist in teaching activities of the department
If you share our enthusiasm for the academic challenges and relevance of proposed research topics and meet the requirements below, then we encourage you to apply and indicate the two topics that appeal to you the most.
Requirements:
- A master's degree in Operations Research, Operations Management, (Applied) Mathematics, Computer Science, Industrial Engineering or related field
- Experience with problem-solving, analytical, and modeling skills
- Strong motivation and ability to generate high-quality research with the aim of publishing top-tier journal
- Good oral and written communication skills in English; Dutch proficiency (or willingness to learn Dutch) is not required but is appreciated
What are we offering:
We offer you the opportunity to join a young, international and ambitious research group on challenging research topics with a large research and valorization potential. For your project, you will work in close collaboration with a dedicated supervising team of senior researchers who will guide you through the Ph.D. research process and welcome you to their international research networks.
Depending on your prior education, you will be offered a customized doctoral training program to boost your research and teaching skills and prepare you for an academic career. Job opportunities for doctoral graduates in our research field on the labor market are excellent, both in academia and in industry.
A challenging position in a socially involved organization. The salary will be in accordance with university regulations for academic personnel and amounts €2,395 (Ph.D.) per month during the first year and increases to €3,061 (Ph.D.) per month during the fifth year, based on full-time employment. The job profile: is based on the university job ranking system and is vacant for at least 0.8 FTE.
The appointment will initially be for 1 year. After a satisfactory evaluation of the initial appointment, the contract will be extended for a duration of 5 years.
Additionally, Vrije Universiteit Amsterdam offers excellent fringe benefits and various schemes and regulations to promote a good work/life balance, such as:
- a maximum of 41 days of annual leave based on full-time employment
- 8% holiday allowance and 8.3% end-of-year bonus
- solid pension scheme (ABP)
- contribution to commuting expenses
- optional model for designing a personalized benefits package
Application:
Are you interested in this position? Please apply via the application button and upload your curriculum vitae and cover letter until September 6, 2021.
Applications received by e-mail will not be processed.
https://werkenbij.vu.nl/ad/phd-positions-in-operations-research-operations-management/rwmf88 |
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Mothers for Mothers offer support to women during pregnancy and until their youngest child attends school, from illness to wellness, through four arms of their support services: Reach helpline/support calls; Home Visiting; Counselling; and Peer Support Groups with a play support worker. Their services are delivered by women with lived experience of perinatal mental illness.
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Project Description
Can you help conduct an investigation into their telephone system? What data can be automatically collected and which provider might be the most cost effective?
Mothers for Mothers have a single helpline with no queueing system. When it is busy, callers can leave a message, but few do, given that it is likely to have taken some courage to call. So, Mothers for Mothers don’t know how many calls are not answered, nor do they collect any data, though they could collect data manually about answered calls. In addition, there is a support call service: regular calls out at the same time every week. On some days the support calls are made by the person manning the helpline on the same number.
It would be helpful to know what data could be automatically collected, using a system such as BT’s Call Tracker, and determine how useful that might be. It will also be useful to investigate whether a change of provider would be beneficial.
Time commitment: 3 days, for this preliminary investigation
Location: The work can be done remotely
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Brandon Trust enable children, young people and adults with a learning disability, autism or both to live life in the way they choose. They provide high-quality, person-centred support that focuses on enabling each individual to achieve their dreams and truly live free.
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Project Description
This project is part of a wider strategic piece of work on Equality, Diversity & Inclusion (EDI) running throughout 2021. The aim of this project is to design and facilitate a process to engage staff in initial conversations about EDI and provide some baseline evidence of the position today.
It would suit a volunteer with experience in qualitative data gathering and analysis, and participative facilitation methods.
Time commitment: 5/6 days
Location: Bristol (if possible) and remote working. This project could be run online/virtually, but would probably benefit from some face-to-face staff engagement (e.g. workshops).
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