University of Oxford, Director of Statistical Consultancy Services

Applications are sought for a client-facing senior statistical consultant to be based at the Department of Statistics in Oxford. This post is to cover the absence of the substantive postholder, who is taking a period of maternity leave. You will be experienced and qualified in the use of applied statistical methods and have prior consultancy or external-facing experience. As the Director of Statistical Consultancy Services, you will manage and lead on end-to-end provision of the Department's consultancy activities, which may include: liaising with clients across a range of sectors to understand their needs in the domain of statistics and data analysis; formulating and providing bespoke solutions to their statistical problems; interpreting and delivering the results of the statistical analysis, as well as developing appropriate code. You will engage with a broad range of stakeholders across private and public sectors to promote the Department's Statistical Consultancy Services. In addition to targeting external clients, you will also provide statistical advice and consultancy to University staff and researchers, and engage actively with other Departments. You will line manage one full-time statistical consultant, mentor students and postdoctoral researchers undertaking consultancy, and be responsible for the operational management of the team.

It is essential that you will hold a Doctorate (or have equivalent research or professional experience) in Statistics or a related field with post-qualification statistical client-facing consultancy experience. You will possess broad knowledge of applied statistics and statistical software and evidence ability to communicate engagingly both in writing and orally to explain statistical concepts to non-technical clients and audiences. You will have proven ability to lead and motivate a team. Strong programming skills is a must. Experience of collaborations at national and international level and in applied non-parametric and Bayesian statistics and/or machine learning applications would be ideal. This post is fixed-term to cover a period of maternity leave.

The post is available until 30th June 2022 or the actual return of the substantive postholder, or the resignation of the substantive postholder and employment of a new postholder, whichever is the earliest.

Only applications received before 12.00 midday on 24 May 2021 will be considered.

Interviews will be held on 7 June 2021.

Contact Person : HR
Vacancy ID : 150668
Closing Date & Time : 24-May-2021 12:00
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Vacancies

Egresados doctorado

La acreditación del actual programa de Doctorado fue el 25/09/2013. Se presenta la información de los egresados desde el curso 2013-2014.


     
(2024) Bolón Rodríguez, Diego. Doctor/a por la USC desde 23-05-2024, Métodos de inferencia non paramétrica orientada a obxectos.
(2023) Freijeiro González, Laura. Departamento CITMAGA - Universidade de Santiago de Compostela. Doctor/a por la USC desde 30-06-2023, Nuevos aportes para modelos de regresión con covariables de alta dimensión o de carácter funcional.
(2023) Davila Pena, Laura. Departamento Estadística, Análisis Matemático y Optimización - Universidade de Santiago de Compostela. Doctor/a por la USC desde 30-01-2023, Optimization and cooperation with logistics applications.
(2022) González Rodríguez, Brais. Departamento Estadística e Investigación Operativa - UVIGO. Doctor/a por la USC desde 02-12-2022, Advances in Polynomial Optimization.
(2022) Alonso Pena, María. Departamento Estadística, Análisis Matemático y Optimización - Universidade de Santiago de Compostela. Doctor/a por la USC desde 08-09-2022, New approaches to circular regression models.
(2022) Ginzo Villamayor, María José. Departamento Estadística, Análisis Matemático y Optimización - Universidade de Santiago de Compostela. Doctor/a por la USC desde 20-05-2022, Técnicas estadísticas en geolingüística. Modelización onomástica.
(2022) Lado Baleato, Oscar. Departamento Grupo de metodología de la investigación (RESMET) - Fundación Instituto de Investigación Sanitaria de Santiago de Compostela. Doctor/a por la USC desde 25-11-2022, Novas aportacións a inferencia os modelos aditivos xeneralizados para respostas bivariadas. Aplicacións en biomedicina.
(2021) Meilán Vila, Andrea. Departamento Estadística - Universidad Carlos III de Madrid. Doctor/a por la UDC desde 12-01-2021, Técnicas no paramétricas para Regresión Espacial con Datos Complejos.
(2021) Barreiro Ures, Daniel. Doctor/a por la UDC desde 10-12-2021, Estimación no paramétrica de la densidad y la regresión para muestras de gran tamaño.
(2021) Gonçalves Dosantos, Juan Carlos. Departamento Matemáticas - Universidade de A Coruña. Doctor/a por la UDC desde 19-02-2021, Optimización e reparto en algúns problemas de decisión multi-axente ou con elementos estocásticos.
(2021) Novo Díaz, Silvia. Doctor/a por la UDC desde 20-12-2021, Contribuciones metodológicas en modelos de regresión semiparamétricos para datos funcionales.
(2021) Fanjul Hevia, Arís. Departamento Estadística e Investigación Operativa y Didáctica de las Matemáticas - Universidad de Oviedo. Doctor/a por la USC desde 19-02-2021, Nonparametric methods for the comparison of ROC curves with application to biomedicine.
(2021) Martínez Villanueva, Nora. Departamento Estadística e Investigación Operativa - UVIGO. Doctor/a por la UVIGO desde 15-07-2021, New contributions to the identification of groups in nonparametric curves.
(2020) Barbeito Cal, Inés. Departamento Matemáticas - Universidade de A Coruña. Doctor/a por la UDC desde 09-07-2020, O bootstrap para a estimación non paramétrica da densidade baixo dependencia.
(2019) Flores Sánchez, Miguel Alfonso. Departamento Matemática - Universidad Escuela Politécnica Nacional. Doctor/a por la UDC desde 20-03-2019, Functional Data Analysis in Statistical Process Control.
(2019) Montero Manso, Pablo. Departamento Econometrics & Business Statistics Department - Monash University. Doctor/a por la UDC desde 30-01-2019, Aprendizaje supervisado y no supervisado en datos temporales mediante medidas de disimilaridad.
(2019) Espasandín Domínguez, Jenifer. Doctor/a por la USC desde 19-07-2019, Contributions to distributional regression models. Applications in biomedicine.
(2019) Oviedo de la Fuente, Manuel. Departamento Matemáticas - Universidade de A Coruña. Doctor/a por la USC desde 18-01-2019, Advances in Functional Regression and Classification.
(2019) Saavedra Nieves, Alejandro. Departamento Estadística, Análisis Matemático y Optimización - Universidade de Santiago de Compostela. Doctor/a por la UVIGO desde 15-03-2019, Contribuciones a los modelos de inventario multi-agente cooperativos.
(2018) López Cheda, Ana. Departamento Matemáticas - Universidade de A Coruña. Doctor/a por la UDC desde 25-05-2018, Nonparametric inference in mixture cure models .
(2018) Borrajo García, María Isabel. Departamento Estadística, Análisis Matemático y Optimización - Universidade de Santiago de Compostela. Doctor/a por la USC desde 23-02-2018, Nonparametric inference on point processes with covariates.
(2018) Cousido Rocha, Marta. Departamento Centro Oceanográfico de Vigo - Instituto Español de Oceanografía. Doctor/a por la UVIGO desde 10-12-2018, Novas Contribucións á análise estatística de datos de alta dimensión.
(2017) Lafuente Rego, Borja Raúl. Departamento Matemáticas - Universidade de A Coruña. Doctor/a por la UDC desde 06-07-2017, Novas aportacións metodolóxicas na clasificación de series temporais.
(2017) Boubeta Martínez, Miguel. Doctor/a por la UDC desde 30-06-2017, Modelos lineales mixtos generalizados: estudio de los incendios en Galicia.
(2017) González Rueda, Ángel Manuel. Departamento Estadística, Análisis Matemático y Optimización - Universidade de Santiago de Compostela. Doctor/a por la USC desde 22-12-2017, Redes de transporte de gas: Deseño de algoritmos de optimización e metodoloxías de tarificación.
(2017) Duarte Castro Rocha, Elisa María. Departamento Education Directorate - Organisation for Economic Co-operation and Development. Doctor/a por la USC desde 10-11-2017, Statistical Contributions in Modeling Breast Cancer Data through Structured Additive Regression (STAR) Models.
(2017) Ameijeiras Alonso, Jose. Departamento Estadística, Análisis Matemático y Optimización - Universidade de Santiago de Compostela. Doctor/a por la USC desde 11-12-2017, Metodologías para la detección de modas direccionales.
(2017) Conde Amboage, Mercedes. Departamento Estadística, Análisis Matemático y Optimización - Universidade de Santiago de Compostela. Doctor/a por la USC desde 28-04-2017, Inferencia estatística en modelos de regresión cuantil.
(2017) Valencia Toledo, Alfredo. Departamento Departamento Académico de Matemática y Estadística - Universidad Nacional de San Antonio Abad del Cusco. Doctor/a por la UVIGO desde 22-09-2017, Bargaining models with asymmetric agents.
(2017) Castillo Páez, Sergio Alberto. Departamento Departamento de Ciencias Exactas - Universidad de las Fuerzas Armadas ESPE. Doctor/a por la UVIGO desde 18-07-2017, Aportaciones a la Geoestadística no paramétrica.
(2016) Devia Rivera, Andrés Eduardo. Departamento Dirección de Validación - Banco Sabadell. Doctor/a por la UDC desde 14-01-2016, Contribuciones al análisis estadístico del riesgo de crédito.
(2016) Raña Míguez, Paula. Departamento Matemáticas - IES Arcebispo Xelmírez II. Doctor/a por la UDC desde 15-12-2016, Predicción Puntual e Intervalos de Confianza y de Predición en Demanda y Precio de la Energía Eléctrica.
(2016) Fuentes Santos, Isabel. Doctor/a por la USC desde 05-02-2016, Nonparametric inference for first-order characteristics of spatial and spatio-temporal point processes.
(2015) Costa Bouzas, Julián. Departamento Matemáticas - Universidade de A Coruña. Doctor/a por la UDC desde 08-05-2015, Valores coalicionales en juegos cooperativos con utilidad transferible.
(2015) Reyes Cortés, Miguel Ángel. Departamento Actuaría - Benemerita Universidad Autonoma de Puebla. Doctor/a por la UDC desde 18-12-2015, Métodos Estatísticos para o estudo de curvas de emerxencia en Malherboloxía.
(2015) Saavedra Nieves, Paula. Departamento Estadística, Análisis Matemático y Optimización - Universidade de Santiago de Compostela. Doctor/a por la USC desde 06-03-2015, Nonparametric Data-Driven Methods for Set Estimation.
(2014) López Vizcaíno, María Esther. Departamento Difusión - Instituto Galego de Estatística (IGE). Doctor/a por la UDC desde 25-04-2014, Estimación en áreas pequeñas. Una aplicación a la estimación de las variables del mercado laboral en las comarcas gallegas.
(2014) Iglesias Patiño, Carlos Luis. Departamento Coordinación y Planificación - Instituto Galego de Estatística (IGE). Doctor/a por la USC desde 04-07-2014, Estimación no paramétrica de la regresión en el contexto de poblaciones finitas.
(2014) García Portugués, Eduardo. Departamento Estadística - Universidad Carlos III de Madrid. Doctor/a por la USC desde 12-12-2014, Nonparametric inference with directional and linear data.
(2014) Castro Conde, Irene. Doctor/a por la UVIGO desde 18-12-2014, Advances in Multiple Hypothesis Testing: The Sequential Goodness-of-Fit Procedure Revisited and Expanded.
(2014) Pires de Mendonça, Jorge Manuel. Departamento Instituto Superior de Engenharia - Universidade de Porto . Doctor/a por la UVIGO desde 22-10-2014, Nuevas contribuciones en el modelo de indicadores de censura faltantes.
(2013) González Montoro, Aldana María. Departamento Matemática - Universidad Nacional de Córdoba. Doctor/a por la UDC desde 24-04-2013, Nonparametric Inference for Neural Synchrony under Low Firing Activity.
(2013) Martínez Calvo, Adela. Departamento Enxeñaría Agroforestal - Universidade de Santiago de Compostela. Doctor/a por la USC desde 04-04-2013, Estimates and Bootstrap Calibration for Functional Regression with Scalar Response.
(2013) Rodríguez Girondo, Mar. Departamento Biomedical Data Sciences - Leiden University Medical Center. Doctor/a por la USC desde 28-06-2013, Contributions to the Survival Analysis with applications to Biomedicine.
(2013) Oliveira Pérez, María. Departamento Departamento de Modelos Predictivos y Prospección - ABANCA. Doctor/a por la USC desde 29-11-2013, Métodos nonparamétricos circulares para densidade e regresión.
(2013) Sestelo Pérez, Marta. Departamento Estadística e Investigación Operativa - UVIGO. Doctor/a por la UVIGO desde 30-05-2013, Development and computational implementation of estimation and inference methods in flexible regression models. applications in biology, engineering and environment.
(2012) Tarrío Saavedra, Javier. Departamento Matemáticas - Universidade de A Coruña. Doctor/a por la UDC desde 16-11-2012, Evaluación y clasificación de materiales: un enfoque estadístico.
(2012) Álvarez Mozos, Mikel. Departamento Departamento de Matemática Económica, Financiera y Actuarial - Universitat de Barcelona. Doctor/a por la USC desde 23-03-2012, Essays on Cooperative Games with Restricted Cooperation and Simple Games.

Postdoctoral positions in Applied Statistics at BCAM

The Basque Center for Applied Mathematics (BCAM, Bilbao, Spain) has opened two postdoctoral positions in Applied Statistics (more info at the end of the email). I would appreciate it if you help us disseminating the position. If you know someone that could be interested, please forward her/him the information. The deadline is July 13th, 2020.

---- Job offers ----
1) Postdoctoral Fellowship in Applied Statistics at the BCAM (Basque Center for Applied Mathematics, Bilbao)
Topics: Fair Learning in Health. Development of mathematical models aimed at detecting and ensuring non-discriminatory and fair decisions based on artificial intelligence algorithms. Special focus will be placed on health applications.

Principal Investigator in charge: Maria Xose Rodriguez Alvarez
No Positions offered: #1
Contract and offer: 2 years
Deadline: July 13th 2020, 14:00 CET (UTC+1)
More info: http://www.bcamath.org/documentos_public/archivos/ofertas/Postdoc_AS.pdf
How to apply: Applications must be submitted on-line at http://www.bcamath.org/en/research/job

2) Postdoctoral Fellowship in Applied Statistics at the BCAM (Basque Center for Applied Mathematics, Bilbao)
Topics: Development of mathematical/statistical methods and computational tools for modelling the transmission dynamics of SARS-Cov-2 with a special focus on the prediction of health care resources. Our proposal rests on the combination of mechanistic models and Bayesian inference for uncertainty quantification and the development of efficient Markov Chain Monte Carlo (MCMC) samplers and numerical algorithms for the real-time use of the results. The selected candidate will work with members of the research lines of "Applied Statistics" and "Modelling and Simulation in Life and Material Sciences" of the BCAM.

Principal Investigator in charge: Maria Xose Rodriguez Alvarez and Elena Akhmatskaya
No Positions offered: #1
Contract and offer: 1 years
Deadline: July 13th 2020, 14:00 CET (UTC+1)
More info: http://www.bcamath.org/documentos_public/archivos/ofertas/BCAM_postdoc_COVID_AS.pdf
How to apply: Applications must be submitted on-line at http://www.bcamath.org/en/research/job

Assistant Professorship in Statistics @ TU Delft

Dear all,

At TU Delft, we have a vacant position in our statistics section. For more details, please view the vacancy text:

https://www.tudelft.nl/over-tu-delft/werken-bij-tu-delft/vacatures/details/?jobId=597&jobTitle=Assistant%20Professor%20or%20Associate%20Professor%20Statistics

The application deadline is September 30. Feel free to forward the announcement to potential candidates!

With best regards, Geurt

Prof. dr. ir. Geurt Jongbloed

*D*elft *I*nstitute of *A*pplied *M*athematics

Faculty *E*lectrical *E*ngineering, *M*athematics and *C*omputer *S*cience

*T**U **Delft*

W http://diamweb.ewi.tudelft.nl/~geurt/

Assistant: Cecilia van der Hoeven

T+31 (0)15 27 81939 Esta dirección de correo electrónico está siendo protegida contra los robots de spam. Necesita tener JavaScript habilitado para poder verlo.

2020 Postdoctoral research fellowships (UC3M-Santander Big Data Institute (IBiDat)) MADRID

The UC3M-Santander Big Data Institute (IBiDat) (www.ibidat.es) is a joint initiative by Universidad Carlos III de Madrid and Banco Santander. It was founded in 2015 and it has rapidly become an institution of reference in the area of Big Data Analytics in Spain. IBiDat’s goal is to apply cutting-edge research to solve industry problems, participate in research and innovation projects funded by different national, European and international agencies and develop specific industry-based training and teaching activities in the area of Big Data Analytics. The Institute counts with a team of 7 full-time outstanding researchers as well as more than 40 fellow affiliated researchers from multiple disciplines: statistics, economics, finance, computer science, engineering, etc.
IBiDat is located in Madrid, one of the most livable and enjoyable cities in Europe that offers an exceptional offer of recreational activities.
As a high quality research institute, the PostDocs in IBiDat should be capable of performing those tasks expected from an early career faculty in academia adapted to the institute’s focus on R&D applied to industry challenges. This offers our PostDocs a twofold career development in both academia and industry towards his/her next professional step.

Position Overview

The main tasks performed by IBiDat PostDocs include:
- Lead and participate in R&D projects with private companies.
- Lead and participate in proposal preparation for competitive public
and private funding programs such as: EU programs (H2020 and Horizon Europe), National and Regional Research Programs and Private Companies Research Programs.
- Preparation and participation in Big Data and Machine Learning courses and masters.
- Conduct high quality research that leads to publications in top venues (journals and conferences).

Conditions
- Salary: 32,000 €/ year.
o Extra economic compensation might be possible through the participation in projects and/or teaching activities of the Institute.

- Duration: 2 years (1+1). The continuation for the second year (upon available funding) will be confirmed through a performance assessment of the first year.
o Extension further than 2 years could be possible, subject to funding availability and performance criteria.

- Starting Date: September 2020.

Requirements
- A PhD degree in Statistics, Mathematics, Computer Science, Engineering, Finance or related fields on the starting date.

- Experience in R&D projects with companies or from public funding programs.

- Good publication record in top journals and/or conferences in the discipline of the candidate.

- Technical Skills:
o Strong analytical and modelling skills
o Knowledge of Data Analysis Programming Languages: R, Python and/or Spark.
o Knowledge DataBases: mysql, neo4j, etc.
o Knowledge of Machine Learning Algorithms.

- Capacity to work both individually and as part of a team.
- Good communication skills.

Application Instructions
- Interested candidates should send by email:
o A statement of interest including the objectives to be achieved in the position.
o A curriculum vitae (with picture included).

- The candidate should also ask two referees to send letters of reference.
- DEADLINE for applications: July 10, 2020.
- All the candidate’s information and reference letters must be sent to:

Cristina Fdez-Oruña Fdez-Escalante
Office 18.2.D26 Phone: +34 91 624 85 14
Email: Esta dirección de correo electrónico está siendo protegida contra los robots de spam. Necesita tener JavaScript habilitado para poder verlo.