PhD Programmes at Leibniz Universität Hannover

Increasingly in recent years, structured doctoral programmes such as graduate schools and graduate colleges have become established alongside the classic individual route to a doctorate in Germany. Structured doctoral programmes are characterised by a structured teaching programme and the inclusion of a demanding and interdisciplinary field of research.

At Leibniz Universität Hannover the following doctoral programmes are available:

Graduate Schools

GRANAT - Graduate School of Natural Sciences

GRANAT - Graduate School of Natural Sciences
Herrenhäuser Straße 2
30419 Hannover

Tel. +49 511 762 - 2675
Fax +49 511 762 - 2606

E-Mail granatnat.uni-hannover.de

GRANAT – Graduate School of Natural Sciences

Graduate School MUSIC (Multi-Scale methods for Interface Coupling)

Institute of Continuum Mechanics
(Institut für Kontinuumsmechanik)
Appelstraße 11a
30167 Hannover

Tel. +49 511 762 - 3220
Fax +49 511 762 - 5496

E-Mail wriggerikm.uni-hannover.de

Graduate School MUSIC

International Max-Planck Research School on Gravitational Wave Astronomy

Max-Planck-Institut für Gravitationsphysik
- IMPRS-GW -
14424 Potsdam

Tel. +49 511 567 - 7334
Fax +49 511 567 - 7298

E-Mail karsten.danzmannaei.mpg.de

IMPRS on Gravitational Wave Astronomy

Research Training Groups

Fundamentals and Applications of Ultra-cold Matters

Institute of Theoretical Physics
Office of the Research Training Group 1729
Welfengarten 1
30167 Hannover

Tel. +49 511 762 - 5415
Fax +49 511 762 - 2211

E-Mail zanderiqo.uni-hannover.de

Graduiertenkolleg 1729

Analysis, Geometry and String Theory

Institute of Analysis
(Institut für Analysis)
Welfengarten 1
30167 Hannover

Tel. +49 511 762 - 3515 / - 3563
Fax +49 511 762 - 3518

E-Mail schrohemath.uni-hannover.de

Graduiertenkolleg 1463

Globalization and Development

GRK 1723
Königsworther Platz 1
30167 Hannover

Tel. +49 511 762 - 4552
Fax +49 511 762 - 4796

E-Mail infoglad.uni-hannover.de

Graduiertenkolleg 1723

Virtual Materials and Structures and their Validation (ViVaCe)

Institut für Kontinuumsmechanik
Appelstraße 11a
30167 Hannover

Tel. +49 511 762 - 3220
Fax +49 511 762 - 5496

E-Mail wriggersikm.uni-hannover.de

Internationales Graduiertenkolleg 1627

Signaling at the Plant-Soil Interface

Prof. Dr. Helge Küster
Institut für Pflanzengenetik
Herrenhäuser Straße 2
30149 Hannover

Tel. +49 511 762 - 17931
Fax +49 511 762 - 2606

E-Mail helge.kuestergenetik.uni-hannover.de

Graduiertenkolleg 1798

Quantum Mechanical Noise in Complex Systems

Prof. Dr. Michael Oestreich
Institut für Festkörperphysik
Appelstraße 2
30167 Hannover

Tel.+49 511 762-3493

E-Mail oest.nano.uni-hannover.de

Graduiertenkolleg 1991

Research Training Groups

Unter dem Dach der folgenden Sonderforschungsbereiche, die an oder unter Beteiligung der Leibniz Universität durchgeführt werden, sind integrierte Graduiertenkollegs angesiedelt.

Integriertes Graduiertenkolleg Biomedizintechnik des SFB 599

Sekretariat des Integrierten Graduiertenkollegs Biomedizintechnik des SFB 599
Leibniz Universität Hannover
Institut für Kontinuumsmechanik
Appelstraße 11 A
30167 Hannover

Tel. +49 511 762 - 17834
Fax +49 511 762 - 5496

E-Mail schulteikm.uni-hannover.de

Integriertes Graduiertenkolleg im SFB 599

Integriertes Graduiertenkolleg geo-Q des SFB 1128

Sekretariat des Integrierten Graduiertenkollegs geo-Q des SFB 1128
Leibniz Universität Hannover
Institut für Erdmessung
Schneiderberg 50
30167 Hannover

Tel. +49 511 762 - 2132
Fax +49 511 762 - 4006

E-Mail officegeoq.uni-hannover.de

Integriertes Graduiertenkolleg im SFB 1128

Integriertes Graduiertenkolleg PlanOS des SFB/TRR 123

Sekretariat des Integrierten Graduiertenkollegs PlanOS des SFB/TRR 123
Leibniz Universität Hannover
c/o Institut für Transport- und Automatisierungstechnik
An der Universität 2
30823 Garbsen

Tel. +49 511 762 - 18232
Fax +49 511 762 - 4007

E-Mail sebastian.diktyita.uni-hannover.de

Integriertes Graduiertenkolleg im SFB/TRR 123

Ph.D. Programmes in Lower Saxony

Hannover School for Nanotechnology

Leibniz Universität Hannover
Laboratorium für Nano- und Quantenengineering
Schneiderberg 39
30167 Hannover

Tel. +49 511 762 - 16014
Fax +49 511 762 - 16099

E-Mail schulze.wischeleringe.uni-hannover.de

HSN

MARIO - Multifunktionale Aktive und Reaktive Interfaces und Oberflächen

Leibniz Universität Hannover
Graduate School MUSIC
Appelstraße 11 A
30167 Hannover

Tel. +49 511 762 - 3219
Fax +49 511 762 - 19053

E-Mail nackenhorst@ibnm.uni-hannover.de, wriggers@ikm.uni-hannover.de

MARIO

School for Contacts in Nanosystems

Leibniz Universität Hannover
Institut für Festkörperphysik
Appelstraße 2
30167 Hannover

Tel. +49 511 762 - 2901

E-Mail haugnano.uni-hannover.de

School for Contacts in Nanosystems

The Hannover School for Biomolecular Drug Research (HSBDR)

Leibniz Universität Hannover
Institute of Organic Chemistry & Centre of Biomolecular Drug Research
Schneiderberg 38
30167 Hannover

Tel. +49 511 762 - 16303

E-Mail heike.lovelockoci.uni-hannover.de

The Hannover School for Biomolecular Drug Research (HSBDR)

NTH-School GEOFluxes (Georesources: The Role of Fuid Exchange in Earth and Environmental Systems)

Leibniz Universität Hannover
Institut für Mineralogie
Callinstraße 3
30167 Hannover

Tel. +49 511 762 - 5517

E-Mail a.stechernmineralogie.uni-hannover.de

GEOFluxes

Marie Curie Initial Training Networks (ITN)

MultiScaleHuman - Multi-scale Biological Modalities for Physiological Human Articulation

Managed by the University of Geneva(Switzerland) Leibniz Universität Hannover is one of the seven partners within the Marie Curie Research Training Networks MultiScaleHuman. Further partners are: Hospitals of the University of Geneva (Switzerland), University of Minho Braga (Portugal), Hannover Medical School (Germany), National Council for Research of Genoa (Italy), Softeco Sismat Srl Company (Genua, Italy).

Prof. Dr. Franz-Erich Wolter
Leibniz Universität Hannover
Institut für Mensch-MaschinenkOmmunikation
FG Graphische Datenverarbeitung
Welfengarten 1
30167 Hannover

Tel. +49 511 762 - 3299 / - 2910

E-Mail fewwelfenlab.de

MultiScaleHuman

Application for Structured Doctoral Programme

Apply directly to the doctoral programmes concerned. Please note the various programmes have differing application requirements and deadlines.

Further Informationen

• Academics Article "Strukturierte Promotionsprogramme"

PhD Program HBRS Biology, Biotechnology, Biochemistry, Engineering, Veterinary Scienes

HBRS is an interdisciplinary graduate school for physicians (MD/PhD, MBBS, Dr.med.) and life scientists (Biology, Biotechnology, Biochemistry, Engineering, Veterinary Scienes etc).

Currently, HBRS students come from more than 40 different countries.

In October 2006, HBRS was awarded the title "excellent graduate school". HBRS receives support  for more than 6 years from the German government (DFG) in course of the German "Excellence Initiative". Additional funding is available through - among others - participating in the DFG Excellence Clusters "REBIRTH" (MHH) as well as "Hearing4all" (Oldenburg/ MHH), the Georg Christoph Lichtenberg program of Lower Saxony (DEWIN) as well as the "Niedersachsen Vorab" program by the Ministry of Science and Culture/ Volkswagenstiftung.

HBRS was founded in October 2003. All graduate programs (see left) of Hannover Medical School and partner institutes are coordinated here.

We are very proud to announce that our PhD program "Molecular Medicine" and HBRS will celebrate its 15th anniversary of structered doctoral training in October 2015. We are the pioneering graduate school in Germany in the field of Biomedicine.

Anniversary Brochure 

(2010; here you find all departments/ institutes and faculty involved in HBRS)

News:

14.07.14 There are now some rules and regulations for our StrucMed (Dr.med.) program!
 

The application website for our LISA (Lower Saxony international summer academy in Immunology) from August 15th to 29th 2015 is now open till April 30th www.hbrs-summeracademy.de

Please join:

HBRS Career Day on March 13th

APPLICATION WEBSITE OPEN!

Our application website www.hbrs-application.de is now open for the October 2015 intake till April 1st, 2015!

PhD-program "Veterinary Research and Animal Biology"

Introduction

PhD-program "Veterinary Research and Animal Biology" -

part of the Hannover Graduate School for Veterinary Pathobiology, Neuroinfectiology, and Translational Medicine (HGNI):

Your Chance in Science and Research

You have completed an outstanding undergraduate degree in veterinary medicine, human medicine, or one of the biosciences?

You intend to persue an advanced degree?

Then you should join our PhD Program "Veterinary Research and Animal Biology" leading to a Doctor of Philosophy (PhD) or a Doctor rerum naturalium (Dr. rer. nat.).

Our program offers you:

• A postgraduate program designed for three years, linked to the University of Veterinary Medicine Hannover or cooperating partners
• independent research in a highly demanding project
• beeing supported by a supervising group
• gain of knowledge associated to the project
• gain of basic knowledge and skills as establishment of a reference data base, oral presentation, scientific writing, the job interview or the winning proposal, e.g
• presentation of results at an international congress, seminar or workshop.

Interested?

Please contact us, we will provide you with detailed information.

Course of Study

PhD Program in Animal and Zoonistic Infections

The PhD-program "Animal and Zoonotic Infections"

• is a postgraduate program of the University of Veterinary Medicine Hannover designed for three years
• offers project-oriented postgraduate training in animal infection medicine and zoonoses research
• will provide advanced qualifications and skills students will need for a successful career in research or related fields

Course of Study

IBS (Seminar on Infection Biology, Infektionsbiologisches Seminar)

Time: Mondays, 14:15 h,

Location: TiHo, Clinic for Pets (Klinik für Heimtiere), Bünteweg 9, lecture hall 2nd floor

Programme now for download

Summer term 2015	IBS
20.04.2015	Michaela Schmidtke Inst. f. Virology, TiHo "Novel neuraminidase inhibitors acting against influenza viruses and pneumococci"
04.15.2015	Torsten Loof Physiologische Chemie, TiHo "Dual role of coagulation during Staphylococcus aureus infection"
18.05.2015	Andreas Beineke Inst. f. Pathologie, TiHo "Immunomodulation in virus-induced demyelinating diseases"
01.06.2015	Lydia Teske Klinik für Geflügel, TiHo "Attempts to unravel the etiology of 'Young pigeon disease syndrome''"
15.06.2015	Corinna Kehrenberg Inst. f. Lebensmittelqualität und -sicherheit, TiHo "The challenge of efflux-mediated multidrug resistance in gram-negative bacteria"
29.06.2015	Dieter Liebhart Universitätsklinik f. Geflügel, Veterinärmedizinische Universität Wien "Investigations on the cellular immunity of chickens against infection with Histomonas meleagridis"
13.07.2015	Reinhold Förster Inst. f. Immunologie, MHH "Visualizing the immune response against viral infections"

PhD program in Systems Neuroscience

The PhD program in Systems Neuroscience:

• Is conducted by the virtual cooperative Center for Systems Neuroscience (Zentrum für Systemische Neurowissenschaften Hannover, ZSN) with four participating universities in Hannover
• Offers project-oriented postgraduate training in neuroscientific research
• Will train students for specialized, independent scientific studies and provides advanced qualifications for research and related fields
• Is designed to contribute substantially to the training of young scientists in the fields of systems neuroscience and to provide skills students will need for successful research career

• Is a cooperative program with international research groups in order to enhance the opportunities for mobility of doctoral candidates and to complete part of the doctoral work at a foreign university.

Applicants must have successfully completed a university degree in veterinary medicine, medicine, dental medicine, biology, biochemistry, chemistry or in another field of the natural sciences

A maximum of 20 students will be accepted each year for the winter term.

The PhD Program in Systems Neuroscience has a collaboration with the
PhD Student program HEARING .

OPEN CALL FOR DOCTORAL STUDENT POSITIONS AT THE UNIVERSITY OF OULU,Doctoral training environment

The University of Oulu, located at the heart of the globally recognized Oulu region R&D hub in Northern Finland, promotes advanced research especially in the focus areas of Biosciences and Health, Environment, Natural Resources and Materials, Information Technology, and Cultural Identity and Interaction. The University, with its 10 faculties and more than 70 specialist disciplines, cooperates closely with industry and commerce, and has broad connections with many international research and education institutions.

The University of Oulu Graduate School (UniOGS) provides the framework and conditions for high-quality, research-driven doctoral education at the University of Oulu. UniOGS promotes the development of structured Doctoral Programmes covering the areas of Technology, Natural Sciences, Biosciences, Health Sciences, and Human Sciences, and nurtures effective student-supervisor relationships founded on both motivation and commitment. UniOGS thus aims to create a favourable environment for the planning, execution and timely completion of doctoral education tailored to each student.

The Doctoral Programmes of UniOGS provide systematic and comprehensive doctoral training allowing the completion of the doctoral degree within a period equivalent to four years of full-time study. The doctoral training offered within the doctoral programmes promotes and strengthens high-quality research in the University of Oulu strategic focus and development areas, and assures that students acquire good working-life skills that address the needs of both the work-place and society.

General description of the positions and the minimum requirements for selection

The University of Oulu Graduate School invites applications for:

1. Fifty-eight (58) four-year doctoral student positions for 2016 – 2019, funded by the University of Oulu and distributed between eight of the UniOGS Doctoral Programmes. In addition, two (2) four-year “open research project” (Open-Res) positions will be allocated to applicants whose research relates to any research area of the University of Oulu not covered by the doctoral programmes participating in this call. Applicants for four-year positions will be either starting their doctoral training, or will have completed no more than two full years of training (adjusted for possible previous part-time status) at the time the position is filled.

Funding is also available for:

2. Seven (7) two-year positions (2016 – 2017) in: the Advanced Materials Doctoral Programme (one position); the Oulu Business School Doctoral Programme (three positions); the Infotech Oulu Doctoral Programme (three positions).
3. Multiple short-term vacancies (during 2016 – 2017), for doctoral students enrolled in the Infotech Oulu Doctoral Programme (one six-month position), or who are enrolled in the Medical Research Centre Oulu Doctoral Programme and hold a licentiate degree in Medicine or a licentiate degree in Dentistry (up to a cumulative total of 36 years).

The salary of the selected doctoral students will be set on levels 2 – 4 of the national salary scale for the teaching and research staff of Finnish universities. In addition, a supplementary remuneration will be given for personal achievement and performance (max. 46.3%). The total salary for these levels (before tax) currently ranges from about 1972 to 3601 Euros/month for full-time employment.

These full-time positions are available from the 1^st of January, 2016, for highly motivated and talented students wishing to undertake and complete training for a research-focused doctoral degree. The work contract may last until the student has completed a total of no more than four years of doctoral training (adjusted for possible part-time status prior to the start of the contract) from the date on which study rights are granted, and may include a trial period of four months. Applicants may apply for multiple positions in different Doctoral Programmes, but successful candidates may occupy only one position.

All applicants must hold a Master’s degree, or an equivalent degree (e.g. licentiate), in a relevant field by the end of 2015, and be able to demonstrate sufficient language skills in English or Finnish (see “Further information” below). The degree will have been accredited with good grades (i.e. at least 60% of the maximum grade in both taught studies and the Master’s thesis). Doctoral Programmes may impose additional or more stringent requirements.

Positions available and links to the sub-call texts of the Doctoral Programmes

1. Advanced Materials Doctoral Programme, 6 four-year positions and 1 two-year position: Link to ADMA-DP call

Research fields: Engineering, Natural sciences, Environmental sciences.

2. Aurora Doctoral Programme, 5 four-year positions: Link to Aurora-DPcall

Research fields: Natural sciences, Environmental sciences, Human & health sciences, and Engineering sciences.

3. Doctoral Programme in Exact Sciences, 7 four-year positions: Link toExactus-DP call

Research fields: Astronomy, Physics, Chemistry, Mathematics, Statistics.

4. Eudaimonia (Human Sciences) Doctoral Programme, 9 four-year positions: Link to EUDA-DP call

Research fields: Humanities, Education, Business (International business, Management, Marketing), Human geography.

5. Infotech Oulu Doctoral Programme, 12 four-year positions, 3 two-year positions and 1 six-month position: Link to Infotech-DP call

Research fields: Electronics, Communications engineering, Computer science & engineering, and Software engineering & information systems.

6. Medical Research Center Oulu Doctoral Programme, 6 four-year positions and multiple short-term vacancies: Link to MRC Oulu-DP call

Research fields: Clinical medicine, Oral health science, Biomedicine, Health science, Medical technology.

7. Oulu Business School Doctoral Programme, 3 four-year positions and 3 two-year positions: Link to OBS-DP call

Research fields: Accounting, Economics, Finance, International business, Management, Marketing.

8. Open Research Projects, 2 four-year positions: Link to Open-Res call

Any field at the University of Oulu not covered by the Doctoral Programmes participating in this call (sub-calls 1 – 7 and 9).

9. Biocenter Oulu Doctoral Programme, 10-11 four-year positions: theBCO-DP call will open in July or August 2015 (further details will be provided later).

Research fields: Biosciences, Biomedicine, Biotechnology and related fields.

Submission of applications

The documents to be submitted with the application are specified in the sub-call text of each Doctoral Programme. If applying to more than one Doctoral Programme, a complete set of documents must be submitted to each one.

All application documents responding to sub-calls 1 – 8 above are to besubmitted electronically, before the deadline on Friday 21.08.2015, at 24.00 (midnight, Finnish local time, UTC + 3hr). The submission deadline for applications responding to sub-call 9 above (BCO-DP) will be announced when the call opens.

Applications received after the deadline, or incomplete applications, will not be considered.

Further information

Announcement of the results

Selected applicants will be contacted by e-mail during the second or third weeks of October, 2015. The final list of selected students will be published on the University of Oulu Graduate School web pages by 3^rd November 2015.

Language proficiency

The teaching languages at the University of Oulu are Finnish and English. All applicants who have not completed a secondary or higher education degree in the Finnish language must demonstrate that they possess English and/or Finnish language skills that are sufficient to follow doctoral studies. For this, the applicant must provide official documents demonstrating one of the following (no other options are considered):

• The applicant has completed a Bachelor or Master degree taught in English;
• The applicant has successfully completed at least 20 ECTS credits of studies conducted in English in a higher education institution in Finland;
• Certificate of English language proficiency from the Finnish National Board of Education (skill levels 5 in reading, writing, listening & speaking);
• TOEFL score (minimum 580 PBT / 92 IBT);
• IELTS score (minimum 6.5, with a minimum of 5.5 in each section; Academic module only);
• Pearson Test of English (minimum 62, with minimum of 52 in writing section; PTE Academic only);
• Cambridge ESOL's Certificate of Proficiency in English (CPE), or of Advanced English (CAE) (grades A, B or C).

For additional information requests

• Concerning the general requirements and application procedures: Coordinator Anthony Heape (anthony.heape @ oulu.fi; phone: +358-40-8676666).
• Concerning the positions in the Doctoral Programmes: see Doctoral Programme sub-call texts.

Postdoc and Ph.D. positions in theoretical machine learning @ Inria Lille, France. Deadline: 26 Apr

A postdoc and   Ph.D. position is offered at Inria Lille, in collaboration with CWI, Amsterdam.
The successful applicants will work with Daniil Ryabko at Inria, and will collaborate
with Peter Grünwald at CWI, Amsterdam, spending some of  time in Amsterdam.
(For postdoc between 3 and 6 months.)

Application Deadline: 26/04/2015, but better apply earlier
Duration: 36 months for PhD, 16 months for postdoc
Starting date: October, 2015

Please contact Daniil dot Ryabko at inria.fr before applying, with  [phd] in the subject line.

The topic is non-parametric sequential prediction.
The topic belongs to the areas of machine learning and (extremely) nonparametric statistics. The central theme of this topic is to explore which regularities are "learnable" from sequential data.
Specifically, this general question is considered for the problem of probability forecasting, that is, predicting the probabilities of future outcomes of a series of events given the past. The question to be addressed is: under which assumptions on the stochastic mechanism generating the data is it possible to give forecasts whose error becomes negligible as more data becomes available? Here we specifically allow for the possibility that the predictions are based on a model that is `wrong yet useful', i.e. it does not contain the data generating mechanism. In this 'nonrealizable' or 'misspecified' case, the question becomes: under what conditions it is possible to give forecasts that converge to the best available ones as more data becomes available?

Questions of this kind find applications in a variety of fields, such as finance, data compression, bioinformatics, environmental sciences,  and many others. However, the research topic is mainly about theoretical foundations rather than applications.


Background papers: paper1 (Ryabko), paper2 (Ryabko), paper3 (Grünwald/van Ommen)

The successful applicant will have a strong mathematical background with an M.Sc. in mathematics, computer science or statistics.


About Inria and the job

Established in 1967, Inria is the only public research body fully dedicated to computational sciences. Combining computer sciences with mathematics, Inria’s 3,500 researchers
with 350 working at the Inria  centre in Lille.

Lille is only 1h away from Paris, 34min from Brussels and 1h30 from London -  all by train.

Benefits: Possibility of French courses, Help for housing, Financial support from Inria to catering and transportation expenses, Scientific Resident card and help for visa, Catering service

Monthly salary after taxes: around 1580 € the 1st two years and 1660 € the 3rd year (social security included).

About CWI:

CWI is the national research institute for mathematics and computer science in the Netherlands, located in Amsterdam. It conducts pioneering research in these fields and transfers its results to society. With 55 permanent research staff, 40 postdocs and 70 PhD students, CWI is a compact institute that lies at the heart of European research in mathematics and computer science. It was the birthplace of the European internet and was home to the invention of the popular programming language Python. CWI is located within easy biking distance from the centre of one of Europe's most beautiful, lively and international cities.
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Internship on data analysis at the Pulse Lab Jakarta

Pulse Lab Jakarta is a joint programme between the United Nations and
Government of Indonesia through UN Global Pulse (http://unglobalpulse.org/)
and the Indonesian Ministry of National Development Planning (Bappenas).
Our mission is to harness big data for development and humanitarian action
and an internship at our lab can offer you a distinguished, unique
opportunity to help tackle development challenges with the public sector,
applying your skills around data analytics, modeling and visualization.



As a data innovation lab, the Research team at Pulse Lab Jakarta, together
with our colleagues in Pulse Lab New York and Pulse Lab Kampala, are
exploring various opportunities of applying big data in different sectors,
such as food security, public health, urban dynamics and economic
well-being, with different types of big data, such as social media, online
news, remote sensing, and online search keywords. This year, in particular,
we hope to test other methodologies and approaches by using other data
sources, e.g., financial transactions and mobility data.



We are looking for talented PhD students who have already published papers
at top-tier conferences and journals in a broad area of data science,
including (but not limited to) social media analysis, user behavior
modeling, statistical model, informational retrieval, NLP, predictive
analytics, complex network analysis, geospatial analysis, image processing,
and data visualization.



Starting dates and internship are negotiable depending on the selected
candidates' availability (preferably, two to three months, at least).
Applications for the internship should be received by *April 24th, 2015**. *
Please submit an application with your CV and motivation letter (clearly
highlighting the speciality, previous research, and/or which sector you
want to work in, if any) to Jong Gun Lee, the Data Scientist and Research
Lead at Pulse Lab Jakarta, jonggun.lee@un.or.id. Applications will be
evaluated on a rolling basis. We will invite shortlisted candidates for
interviews.

PhD position in robotics, learning, control at King's College London. Deadline: 1st May

PhD Position in Robotics and Machine Learning
King's College London
Centre for Robotics Research, Department of Informatics


Applications are invited for the Professor Sir Richard Trainor PhD
Scholarships in the Department of Informatics at King's College London.
This is a fully funded PhD studentship commencing from October 2015.


The successful candidate will undertake research into data-driven
adaptive and energy-optimal control for robotic systems in long term
operation.


She/he will hold a relevant degree (Computer Science, Mechanical or
Electrical Engineering, or similar) as well as good programming skills
and a strong mathematical background. Experience in robotics and/or
statistical machine learning is a plus.


Nationality: Any.
Deadline:    1st May 2015, 12pm BST
Interviews:  May-June 2015.
Start Date:  October 2015.


For full details on the position and the application procedure:
http://www.kcl.ac.uk/study/pg/funding/sources/rtprojects/RT-scholarship-advert-project-HOWARD.pdf


For details on the Richard Trainor Scholarship Program:
http://www.jobs.ac.uk/job/AKW051/professor-sir-richard-trainor-phd-scholarship-scheme/


For all other queries contact: Dr. Matthew Howard
(matthew.j.howard@kcl.ac.uk)

PhD Position in autonomous machine learning at QMUL. Deadline: 1st May

PhD Position in Autonomous Machine Learning
Queen Mary University of London
School of Electronic Engineering & Computer Science


Applications are invited for a fully funded PhD studentship undertaking research into robotic learning within the context of a European Union Horizon 2020-funded project DREAM (Deferred Restructuring of Experience in Autonomous Machines). DREAM is a joint Horizon 2020 project combining strength of 5 academic partners throughout Europe. The project aims to develop a machine that can accumulate and develop increasingly complex skills over an extended time period through consolidation and restructuring of knowledge.


The successful candidate will develop models for machine perception and control that are capable of open-ended life-long learning.


Nationality: Open to all.
Deadline: 1st May 2015.
Interviews expected: May 2015.
Start Date: Autumn-Winter 2015.


For more details and a application:
http://www.jobs.ac.uk/job/AKW811/phd-studentship-in-autonomous-machine-learning/
For queries contact: Dr. Timothy Hospedales t.hospedales@qmul.ac.uk

PhD Position in machine learning under severe uncertainty

The DI (Decision and Image) team of the Heudiasyc (Heuristic and
Diagnostic Methods for Complex Systems) laboratory recruits one PhD
student funded by the French ministry of education.


The thesis topic concern the problem of learning what are the optimal
pieces of information one should query to reduce uncertainty and reach
a unique optimal decision. Depending on its preferences and skills,
the candidate will either focus on active learning or expert
elicitation problems. The student work will be performed in close
collaboration with experts in the fields of learning and reasoning
under
uncertainty.


The ideal candidate has a strong commitment to research and to the
completion of the PhD program, has strong skills in mathematics or
computer science, has good communication skills in English, good
programming skills, and ability to work in a collaborative environment.


For Further information, you can contact
(sebastien.destercke@hds.utc.fr) or download the application file at
https://www.hds.utc.fr/~sdesterc/dokuwiki/_media/en/learning_thesis_subject.pdf

Ph.D. positions starting Fall 2015 at the Dept. of Computer Science of the Missouri University of Science and Technology

Applications are invited for several funded Ph.D. positions starting Fall 2015 at the Department of Computer Science of the Missouri University of Science and Technology.

Communication networks are an inherent part of our life for a wide range of activities. These networks have increased in size, complexity, heterogeneity, energy demand and interdependence with other networks. These aspects open new research problems, which need to be tackled in order to improve the security and efficiency of these networks.

The general goal of the Ph.D. work  is the development of efficient solutions for the improvement of security, performance, reliability and energy efficiency of heterogeneous, complex and large scale communication networks, such as wide-area networks, geographically distributed web systems, static and mobile wireless sensor networks and small cell networks.

The research will be characterized by a theoretical analysis of the problems and proposed solutions, using a wide range of tools from different fields including computational geometry, statistics, algorithm design, optimization and probability theory, as well as by an experimental and simulation study, to investigate and compare the performance of the proposed solutions against the best performing existing approaches.

We encourage all highly motivated and excellent candidates to apply for this position. Successfull applicants will receive a salary of about 2000$/month.

Applicants must have a bachelor or master degree in Computer Science/Computer Engineering or closely related field, with an emphasis on computer networks.

Successful candidates should have:

- Strong background in network algorithm/protocol design and analysis.
- Strong knowledge of computer networks (wired and wireless).
- Strong programming skills (e.g. C/C++, Java, Python).
- Strong skills in oral and written communication.

For more information please contact Simone Silvestri (silvestris@mst.edu).

Application requirements can be found at:
http://cs.mst.edu/graduatedegreeprograms/phdcomputerscience/

CALL for PhD positions in Cognitive Social and Affective Neurosciences (CoSAN) in Rome

Dear Colleagues,

this is to inform you about the Foreign Nationals Educated Abroad Ph.D. scholarship awarded by “Sapienza” University of Rome. This is a very prestigious and competitive scholarship for non-Italian students who graduated abroad (please note that a Master Degree is required). There is the chance that one of the awarded students will be selected for the Psychology and Social Neuroscience Ph.D. program (international curriculum CoSAN http://w3.uniroma1.it/cosan/).

We are seeking highly talented applicants and we would really appreciate if you could forward this to the students you think may be eligible.

The deadline is next April, 26th. Details about the call can be found at:

http://www.cosanphd.com/index.php?page=default_templates

http://www.uniroma1.it/didattica/offerta-formativa/dottorati

The successful candidate will receive a bursary of € 19.800,00 per year before taxes: national insurance contributions (INPS) that fellowship recipients are required to pay (10,57% for 2015). Research will be performed at the Social and Cognitive Neuroscience laboratory (http://agliotilab.org).

While the selection is mainly based on dossier (Evaluation of qualifications, publications and certificates) applicants should also include a skype address and express their availability to be contacted for a video interview if necessary

For more info please contact: 1) for administrative enquiries: Dr. Paola Trussardi (organizational manager) -paola.trussardi@uniroma1.it; 2) For scientific enquiries: Dr Elia Valentini elia.valentini@uniroma1.it or Salvatore M. Aglioti - salvatoremaria.aglioti@uniroma1.it

PhD positions in Internet of Things and Wireless localization

2 PhD positions


1. Security mechanisms in Internet of Things
Contact: Xin.Huang@xjtlu.edu.cn


2. Wireless localization
Contact: Dawei.Liu@xjtlu.edu.cn


Deadline:
Starting date of the two fundings are 2015-09,
Please send your application as soon as possible.


Requirements:
The candidate should have a first class or upper second class honours
degree, or a master’s degree (or equivalent qualification), in Computer
Science or Electrical Engineering （preferably with focus on Security,
Embedded System, or Networks）.  Evidence of good spoken and written English
is essential. The candidate should have an IELTS score of 6.5 or above, or
an equivalent qualification, if the first language is not English. This
position is open to all qualified candidates irrespective of nationality.


Degree:
The student will be awarded a PhD degree from the University of Liverpool
(UK) upon successful completion of the program.


Funding:
The PhD studentship is available for three years subject to satisfactory
progress by the student. The award covers tuition fees for three years
(currently equivalent to RMB 80,000 per annum) and provides a monthly
stipend of 3500 RMB as a contribution to living expenses. It also provides
up to RMB 16,500 to allow participation at international conferences during
the period of the award.  It is a condition of the award that holders of
XJTLU PhD scholarships carry out 300-500 hours of teaching assistance work
per year. The scholarship holder is expected to carry out the major part of
his or her research at XJTLU in Suzhou, China. However, he or she is
eligible for a research study visit to the University of Liverpool of up to
three months, if this is required by the project.


How to Apply:
Interested applicants are advised to email the following documents to
Doctoralstudies@xjtlu.edu.cn  (please put the project title and primary
supervisor’s name in the subject line).
1    CV
2    Two reference letters
3    Personal statement outlining your interest in the position
4    Proof of English language proficiency (an IELTS score of above 6.5 or
equivalent is required
5    Verified school transcripts in both Chinese and English (for
international students, only the English version is required)
6    Verified certificates of education qualifications in both Chinese and
English (for international students, only the English version is required)

PhD “Biomedical data sciences – machine learning” in beautiful Austria

PhD position in “Biomedical data sciences and machine learning” + 2 open MSc positions
in the context of the new competence center for biomarker discovery cbmed.org located at the Medical University Graz.


http://hci-kdd.org/2015/03/26/phd-position-in-biomedical-data-sciences-and-machine-learning/


You …
… have a MSc related to Information & Computer Science (e.g. Informatics, Software Engineering, Telematics, Mathematics, …)

… are eligible to enroll in the Doctoral School Computer Science at Graz University of Technology
… are interested to work within the hci-kdd.org group embedded in the international research community
… have experiences and interest in scientific work in the international context
… have a high interest in the topics data science and machine learning
… like undertaking theoretical, algorithmical, and experimental machine learning studies
… want to understand the problem of knowledge discovery from complex high-dimensional data sets


We …

… are offering a PhD position (30 hours per week, 2100 Euro gross per month, 14 x, FWF salary) available immediately
(no closing date, the position will be filled when the ideal candidate has been found)
… a contract for four years, with opportunities to further develop into a PostDoc position with another four years
… do research in information integration in the life sciences, particularly in the integration of multiple heterogeneous data sources (e.g., -omics data, text data, image data, etc.) constituting the foundation for further machine learning based data analytics for biomarker discovery. Selected topics you have to deal with at the beginning include the research of how to integrate and analyse available data sources in the biomedical domain, a common representation and information fusion model of heterogeneous data sets and to develop and test model-based infrastructures for information integration and fusion
… are offering a workplace within the vibrant, beautiful and student friendly city of Graz in charming Austria


If …
you are interested and motivated, please send
… a) your scientific résumé,
… b) a sample paper, and
… c) a research statement about your targeted scientific work within the four years (a PhD proposal)


in one single pdf file directly to a.holzinger@hci-kdd.org


We are looking forward to welcome you in our group!

PhD Thesis in Multi-Agent Systems and Optimisation

We offer a fully-funded 3 year PhD position entitled "Multi-agent
coordination using distributed optimization based on
belief-propagation and dual decomposition - application to dynamic
prosumption".




Description
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The information and communications technology (ICT) infrastructure is
evolving and becoming increasingly dynamic and distributed.
Considering the context of sensor networks, the internet of things or
smart power grids, the expected impact on our society is huge. The
general problem of dynamic resource allocation (data, energy, etc.)
between producers and consumers (or prosumers for those that do both)
becomes critical for these infrastructures.


Multi-agent optimization techniques are a natural fit for such
systems:


1) the optimization problem is distributed by nature,
2) the system is highly dynamic with many events emanating from both
   the infrastructure and agent/human activities (and they may switch

   frequently from producer to consumer, and vice versa),
3) the scale of the system calls for strong privacy, which cannot be
   provided by a centralized system.


In the past years, multi-agent systems have been developed by using
message passing algorithms inspired by statistical machine learning
methods. Belief propagation is for instance designed for MAP (maximum
a posteriori) inference in probabilistic graphical models. Its
efficiency (in time and number of iterations) made it possible to
solve, in real time, problems like optimal energy allocation and
automatic service composition in sensor networks. Other message
passing algorithms using dual decomposition of the problem have
similar characteristics.


However, these approaches have some limitations â?"e.g. optimality and
convergence on cyclic networks. Despite recent advances, message
passing is still challenging and remains an open problem. Moreover,
since we consider problems with high dynamics and time-dependencies
(e.g. due to the flexible structure of the network, due to real-time
updates coming from sensors), extending such techniques seems
promising thanks to their runtime efficiency which can be exploited to
handle dynamics (though repeated solving processus) and
time-dependencies (by adding new time-related dimensions and
constraints).


This thesis subject aims at producing new methods and algorithms for
distributed optimization in dynamic networks with cycles.  It will
involve the following steps, non-exhaustively:


1. formalizing the problem of dynamic resource allocation and doing a
   theoretical analysis of the existing algorithms,
2. proposing new algorithms to handle the cyclic and dynamic nature of
   the networks,
3. implementing these algorithms in the form of generalization and
   extensions of existing algorithms,
4. evaluating empirically the algorithms by applying them to real data
   coming from the SEAS project, and deploying it into a smart-objects
   platform at EMSE.




General Information
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Duration: 3 years


Location: Saint-Etienne, France, with a possible collaboration with
IIIA-CSIC in Barcelona (Spain)


Supervisors: Gauthier Picard (MINES Saint-Etienne, Laboratoire Hubert
Curien UMR CNRS 5516, [http://www.emse.fr/~picard/]), Rémi Emonet
(Université Jean Monnet, Laboratoire Hubert Curien UMR CNRS 5516,
[http://home.heeere.com/])


Collaboration: Juan Antonio Rodriguez-Aguilar (IIIA-CSIC,
[http://www.iiia.csic.es/~jar/]), Jesus Cerquides (IIIA-CSIC)




Agenda
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Application deadline: May 10th


Interviews: May 15th to 20th


Final decision: first half of June


Starting date: September/October 2015




Skills related to the subject
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The successful candidate will have and be willing to develop the
following skills:


â?¢ machine learning (graphical models, belief propagation, message
  passing algorithms),
â?¢ multi-agent systems, distributed optimization,
â?¢ proficiency in programming (Java/Python, C for Arduino) and
  optimization software (CPLEX, Gurobi),
â?¢ autonomy and English proficiency.




Location
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Saint-Etienne is located about 2 hours from the mediterranean sea and
2 hours from Alps slopes. Lyon city is at 50 km. Saint Etienne has
about 180.000 inhabitants including more than 20.000 students.
Surrounded by hills where hiking and mountain biking are significant,
Saint Etienne is also member of the Unesco Creative Cities Network for
design.  [http://en.wikipedia.org/wiki/Saint-Ã?tienne]




Contact and application
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The application should include a motivation letter (short but
pertinent), a CV, degrees and grades, and relevant publications if any
(or Master thesis).  Candidates are also encouraged to provide
letter(s) of recommendation and contact information to reference
persons.


Applications must be sent before May 10th 2015, candidates are
encouraged to send application earlier.  Applications should be sent
to both of the following addresses: gauthier.picardâ?"atâ?"emse.fr AND
remi.emonetâ?"atâ?"univ-st-etienne.fr
____________________________________________